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Last Minute Tutorials | Data mining | Introduction | Examples
 
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Views: 57027 Last Minute Tutorials
Introduction to data mining and architecture  in hindi
 
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#datamining #datawarehouse #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 271259 Last moment tuitions
INTRODUCTION TO DATA MINING IN HINDI
 
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Please Support LearnEveryone Channel,Small Contribution shall help us to put more content for free: Patreon - https://www.patreon.com/LearnEveryone ------------------------------------------------- Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 118048 LearnEveryone
Introduction to Datawarehouse in hindi | Data warehouse and data mining Lectures
 
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#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 339487 Last moment tuitions
Relational Database Concepts
 
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Basic Concepts on how relational databases work. Explains the concepts of tables, key IDs, and relations at an introductory level. For more info on Crow's Feet Notation: http://prescottcomputerguy.com/tmp/crows-foot.png
Views: 610813 Prescott Computer Guy
Introduction to Database Management Systems 1: Fundamental Concepts
 
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This is the first chapter in the web lecture series of Prof. dr. Bart Baesens: Introduction to Database Management Systems. Prof. dr. Bart Baesens holds a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications. For more information, visit http://www.dataminingapps.com In this lecture, the fundamental concepts behind databases, database technology, database management systems and data models are explained. Discussed topics entail: applications, definitions, file based vs. databased data management approaches, the elements of database systems and the advantages of database design.
Views: 316259 Bart Baesens
Data warehouse Features Lecture in Hindi - DWDM Lectures in Hindi, English
 
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Data warehouse Features Lecture in Hindi - DWDM Lectures in Hindi, English Data warehouse Features – Subject Oriented, Integrated, Time Variant, Non-Volatile Data, Data Granularity Data Warehouse and Data Mining Lectures in Hindi
database recovery management | DBMS
 
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3 states of recovery - pre condition - condition - post condition
Views: 43566 Education 4u
Temporal Database in Hindi
 
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A temporal database is a database with built-in support for handling data involving time, being related to the slowly changing dimension concept, for example a temporal data model and a temporal version of Structured Query Language (SQL). More specifically the temporal aspects usually include valid time and transaction time. These attributes can be combined to form bitemporal data. Valid time is the time period during which a fact is true in the real world. Transaction time is the time period during which a fact stored in the database was known. Bitemporal data combines both Valid and Transaction Time. It is possible to have timelines other than Valid Time and Transaction Time, such as Decision Time, in the database. In that case the database is called a multitemporal database as opposed to a bitemporal database. However, this approach introduces additional complexities such as dealing with the validity of (foreign) keys. Temporal databases are in contrast to current databases (at term that doesn't mean, currently available databases, some do have temporal features, see also below), which store only facts which are believed to be true at the current time. Temporal databases supports System-maintained transaction time. With the development of SQL and its attendant use in real-life applications, database users realized that when they added date columns to key fields, some issues arose. For example, if a table has a primary key and some attributes, adding a date to the primary key to track historical changes can lead to creation of more rows than intended. Deletes must also be handled differently when rows are tracked in this way. In 1992, this issue was recognized but standard database theory was not yet up to resolving this issue, and neither was the then-newly formalized SQL-92 standard. Richard Snodgrass proposed in 1992 that temporal extensions to SQL be developed by the temporal database community. In response to this proposal, a committee was formed to design extensions to the 1992 edition of the SQL standard (ANSI X3.135.-1992 and ISO/IEC 9075:1992); those extensions, known as TSQL2, were developed during 1993 by this committee.[3] In late 1993, Snodgrass presented this work to the group responsible for the American National Standard for Database Language SQL, ANSI Technical Committee X3H2 (now known as NCITS H2). The preliminary language specification appeared in the March 1994 ACM SIGMOD Record. Based on responses to that specification, changes were made to the language, and the definitive version of the TSQL2 Language Specification was published in September, 1994[4] An attempt was made to incorporate parts of TSQL2 into the new SQL standard SQL:1999, called SQL3. Parts of TSQL2 were included in a new substandard of SQL3, ISO/IEC 9075-7, called SQL/Temporal.[3] The TSQL2 approach was heavily criticized by Chris Date and Hugh Darwen.[5] The ISO project responsible for temporal support was canceled near the end of 2001. As of December 2011, ISO/IEC 9075, Database Language SQL:2011 Part 2: SQL/Foundation included clauses in table definitions to define "application-time period tables" (valid time tables), "system-versioned tables" (transaction time tables) and "system-versioned application-time period tables" (bitemporal tables). A substantive difference between the TSQL2 proposal and what was adopted in SQL:2011 is that there are no hidden columns in the SQL:2011 treatment, nor does it have a new data type for intervals; instead two date or timestamp columns can be bound together using a PERIOD FOR declaration. Another difference is replacement of the controversial (prefix) statement modifiers from TSQL2 with a set of temporal predicates. For illustration, consider the following short biography of a fictional man, John Doe: John Doe was born on April 3, 1975 in the Kids Hospital of Medicine County, as son of Jack Doe and Jane Doe who lived in Smallville. Jack Doe proudly registered the birth of his first-born on April 4, 1975 at the Smallville City Hall. John grew up as a joyful boy, turned out to be a brilliant student and graduated with honors in 1993. After graduation he went to live on his own in Bigtown. Although he moved out on August 26, 1994, he forgot to register the change of address officially. It was only at the turn of the seasons that his mother reminded him that he had to register, which he did a few days later on December 27, 1994. Although John had a promising future, his story ends tragically. John Doe was accidentally hit by a truck on April 1, 2001. The coroner reported his date of death on the very same day.
Views: 14572 Introtuts
What is OLAP?
 
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This video explores some of OLAP's history, and where this solution might be applicable. We also look at situations where OLAP might not be a fit. Additionally, we investigate an alternative/complement called a Relational Dimensional Model. To Talk with a Specialist go to: http://www.intricity.com/intricity101/ www.intricity.com
Views: 381673 Intricity101
transaction management in dbms tutorial | DBMS
 
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DBMS transaction management -select -insert -update
Views: 26325 Education 4u
Database Clustering Tutorial 1 - Intro to Database Clustering
 
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Read the Blog: https://www.calebcurry.com/blogs/database-clustering/intro-to-database-clustering Get ClusterControl: http://bit.ly/ClusterControl In this video we are going to be discussing database clustering and how to manage database clusters with ClusterControl. Database clustering is when you have multiple computers working together that are all used to store your data. There are four primary reasons you should consider clustering. Data redundancy, Load balancing (scalability) High availability. Monitoring and Automation That is an intro to a few of the reasons having a cluster is a good idea. Obviously, not everyone needs a cluster. A cluster can be overkill. But the best way to know is to learn more about them, so I’ll see you in the next video! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 27562 Caleb Curry
1 - Introduction to Data warehouse and Data warehousing
 
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Short Introduction Video to understand, What is Data warehouse and Data warehousing? How it is different from Database? It also talks about properties of Data warehouse which are Subject Oriented, Integrated, Time Variant, Non Volatile ETL Tools: Talend Open Studio, Jaspersoft ETL, Ab initio, Informatica, Datastage, Clover ETL, Pentaho ETL, Kettle. #datawarehouse #ETL #DWH Business Intelligence tools: Oracle BI, Microsoft BI suite, Tableau, Qlik, Jaspersoft BI, Pentabo BI, Miscrostrategy, Tibco For more details visit: http://www.vikramtakkar.com/2015/08/what-is-datawarehouse-and.html Datawarehouse Playlist: https://www.youtube.com/playlist?list=PLJ4bGndMaa8FV7nrvKXeHCLRMmIXVCyOG
Views: 122598 Vikram Takkar
Data Management_ Relational Database Management System Tutorial - 2
 
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Math help: how do i answer this question without the use of a calculator? What is the similarity between data? mining and dbms ? What is information system management?(bsc.,ism)? Data? management? question help - combinations ? What is mis or management? information system with your own definition? Does n mba pg opt for event management? as a side option? Mba in hr or health care management? ? How to recover the formated data? from computer? Which course is better, mba finance or mba engineering management? Need data? from last sata hard drive?
Types of databases
 
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This video is telling about different types of databases. Next video will be about different types of attributes. #datamining #database #types Data mining tutorial in hindi Weka tutorial in hindi Data mining tutorial
Views: 2280 yaachana bhawsar
Data Integration Concepts
 
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Interested in getting trained. Mail us at [email protected]
Views: 361 hire thefire
Part 1.3 | Olap vs Oltp in hindi | online analytical processing online transaction processing
 
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• Counselling Guruji is our latest product & a well-structured program that answers all your queries related to Career/GATE/NET/PSU’s/Private Sector etc. You can register for the program at: https://goo.gl/forms/ZmLB2XwoCIKppDh92 You can check out the brochure at: https://www.google.com/url?q=http://www.knowledgegate.in/guruji/counselling_guruji_brochure.pdf&sa=D&ust=1553069285684000&usg=AFQjCNFaTk4Pnid0XYyZoDTlAtDPUGcxNA • Link for the complete playlist of DBMS is: https://www.youtube.com/playlist?list=PLmXKhU9FNesR1rSES7oLdJaNFgmuj0SYV • Links for the books that we recommend for DBMS are: 1.Database System Concepts (Writer: Avi Silberschatz · Henry F.Korth · S. Sudarshan) (Publisher: McGraw Hill Education) https://amzn.to/2HoR6ta 2.Fundamentals of database systems (Writer:Ramez Elmsari,Shamkant B.Navathe) https://amzn.to/2EYEUh2 3.Database Management Systems (Writer: Raghu Ramkrishnan, JohannesGehrke) https://amzn.to/2EZGYph 4.Introduction to Database Management (Writer: Mark L. Gillenson, Paulraj Ponniah, Alex Kriegel, Boris M. Trukhnov, Allen G. Taylor, and Gavin Powell with Frank Miller.(Publisher: Wiley Pathways) https://amzn.to/2F0e20w • Check out our website http://www.knowledgegate.in/ • Please spare some time and fill this form so that we can know about you and what you think about us: https://goo.gl/forms/b5ffxRyEAsaoUatx2 • Your review/recommendation and some words can help validating our quality of content and work so Please do the following: - 1) Give us a 5-star review with comment on Google https://goo.gl/maps/sLgzMX5oUZ82 2) Follow our Facebook page and give us a 5-star review with comments https://www.facebook.com/pg/knowledgegate.in/reviews 3) Follow us on Instagram https://www.instagram.com/mail.knowledgegate/ 4) Follow us on Quora https://www.quora.com/profile/Sanchit-Jain-307 • Links for Hindi playlists of other Subjects are: TOC: https://www.youtube.com/playlist?list=PLmXKhU9FNesSdCsn6YQqu9DmXRMsYdZ2T OS: https://www.youtube.com/playlist?list=PLmXKhU9FNesSFvj6gASuWmQd23Ul5omtD Digital Electronics: https://www.youtube.com/playlist?list=PLmXKhU9FNesSfX1PVt4VGm-wbIKfemUWK Discrete Mathematics: Relations:https://www.youtube.com/playlist?list=PLmXKhU9FNesTpQNP_OpXN7WaPwGx7NWsq Graph Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesS7GpOddHDX3ZCl86_cwcIn Group Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesQrSgLxm6zx3XxH_M_8n3LA Proposition:https://www.youtube.com/playlist?list=PLmXKhU9FNesQxcibunbD82NTQMBKVUO1S Set Theory: https://www.youtube.com/playlist?list=PLmXKhU9FNesTSqP8hWDncxpCj8a4uzmu7 Data Structure: https://www.youtube.com/playlist?list=PLmXKhU9FNesRRy20Hjr2GuQ7Y6wevfsc5 Computer Networks: https://www.youtube.com/playlist?list=PLmXKhU9FNesSjFbXSZGF8JF_4LVwwofCd Algorithm: https://www.youtube.com/playlist?list=PLmXKhU9FNesQJ3rpOAFE6RTm-2u2diwKn • About this video: This video discuss two types of database OLTP and OLAP. What is online transaction processing and what is online analytical processing. Properties of OLTP, Properties on OLAP, type of data in olap, type of data in oltp, what is historical data, where OLTP is used, where OLAP is used, Why we need OLTP and OLAP, Difference between OLTP and OLAP in dbms is discussed. OLAP features: i)stores historical data ii)It is subject oriented iii) It is useful in decision making iv)Used by CEO’s, General managers, high officials of company OLTP features: i)stores current data ii) It is application oriented iii)It is useful for day to day operations iv)Used by clerks, managers and employees of company database tutorial in hindi, definition of data in dbms, components of dbms in hindi,difference between oltp and olap, types of data in dbms dbms tutorials for gate, dbms for beginners in hindi, 3-tier architecture of dbms in hindi,dbms for net,knowledge gate dbms,advantage of dbms, disadvantage of file in dbms, DBMS blueprint, DataBase Management system,database,DBMS, RDBMS, Relations, Table, Query, Normalization, Normal forms,Database design,Relational Model,Instance,Schema,Data Definition Language, SQL queries, ER Diagrams, Entity Relationship Model,Constraints,Entity,Attributes,Weak entity, Types of entity,DataBase design, database architecture, Degree of relation,Cardinality ratio,One to many relationship,Many to many relationships,Relational Algebra,Relational Calculus, Tuples, Natural Join, Join operations,Database Architecture,database Schema, Keys in DBMS, Primary keys, Candidate keys, Foreign keys,Data redundancy, Duplicacy in data, Data Inconsistency, Normalization, First Normal Form,Second Normal Form, third normal forms, Boye codd's normal form,1NF,2NF,3NF,BCNF, Normalization rules, Decomposition of relation, Functional Dependency,Partial Dependency, Multivalued dependency,Indexing,Hashing, B tree,B+ tree,Ordered Indexing,Select operation,Join operations, Natural joins, SQL commands,File structure in DBMS,Primary Indexing,Clustered Indexing,Concurrency control protocols,
Views: 95688 KNOWLEDGE GATE
BIG Data Explained - Data all Around 😱 😱 😱
 
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Namaskaar Dosto, is video mein maine aapse BIG Data ke baare mein baat ki hai, Data ke baare mein toh aap sabhi jaante hai but BIG Data ka concept sabse alag hai. Yeh kya hai aur kaise kaam karta hai yeh maine aapko is video mein bataya hai. Mujhe umeed hai ki BIG data ke baare mein aapko yeh video pasand aayegi. Share, Support, Subscribe!!! Subscribe: http://bit.ly/1Wfsvt4 Android App: https://technicalguruji.in/app Youtube: http://www.youtube.com/c/TechnicalGuruji Twitter: http://www.twitter.com/technicalguruji Facebook: http://www.facebook.com/technicalguruji Facebook Myself: https://goo.gl/zUfbUU Instagram: http://instagram.com/technicalguruji Google Plus: https://plus.google.com/+TechnicalGuruji Website: https://technicalguruji.in/ Merchandise: http://shop.technicalguruji.in/ About : Technical Guruji is a YouTube Channel, where you will find technological videos in Hindi, New Video is Posted Everyday :)
Views: 193071 Technical Guruji
Aggregation | Database Management System
 
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This lecture explains the concept of Aggregation in enhanced ER model. To ask your doubts on this topic and much more, click on this Direct Link: http://www.techtud.com/video-lecture/lecture-aggregation IMPORTANT LINKS: 1) Official Website: http://www.techtud.com/ 2) Virtual GATE(for 'All India Test Series for GATE-2016'): http://virtualgate.in/login/index.php Both of the above mentioned platforms are COMPLETELY FREE, so feel free to Explore, Learn, Practice & Share! Our Social Media Links: Facebook Page: https://www.facebook.com/techtuduniversity Facebook Group: https://www.facebook.com/groups/virtualgate/ Google+ Page: https://plus.google.com/+techtud/posts Last but not the least, SUBSCRIBE our YouTube channel to stay updated about our regularly uploaded new videos.
Views: 68220 Techtud
Generalization | Database Management System
 
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This lecture describes the concept of Generalization as an enhanced feature of ER model. To ask your doubts on this topic and much more, click on this Direct Link: http://www.techtud.com/video-lecture/lecture-generalization IMPORTANT LINKS: 1) Official Website: http://www.techtud.com/ 2) Virtual GATE(for 'All India Test Series for GATE-2016'): http://virtualgate.in/login/index.php Both of the above mentioned platforms are COMPLETELY FREE, so feel free to Explore, Learn, Practice & Share! Our Social Media Links: Facebook Page: https://www.facebook.com/techtuduniversity Facebook Group: https://www.facebook.com/groups/virtualgate/ Google+ Page: https://plus.google.com/+techtud/posts Last but not the least, SUBSCRIBE our YouTube channel to stay updated about our regularly uploaded new videos.
Views: 56038 Techtud
Meta data  in 5 mins hindi
 
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#metadata #datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 126050 Last moment tuitions
RDBMS (Hindi) | Prof. Jayesh Umre
 
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RDBMS: A DBMS based on relational model is called relational database management system or RDBMS. RDBMS uses relational structures to store data. A relation is also called a table. A relation contain tuples (rows) and attributes (columns).                                                                             In RDBMS tables are related each other. Relation are set using a common column between tables. In above tables, Roll_no is a common attribute between them which established a relation.
Views: 26918 Study Everyday
Big Data Tools and Technologies | Big Data Tools Tutorial | Big Data Training | Simplilearn
 
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This Big Data Tools Tutorial will explain what is Big Data?, Big Data challenges and some of the popular Big Data tools involed in Big Data processing and management. The main challenge of Big Data is storing and processing the data at a specified time span. The traditional approach is not efficient in doing that. So Hadoop technologies and various Big Data tools have emerged to solve the challenges in Big Data environment. There are a lot of Big Data tools, all of them help in some or the other way in saving time, money and in covering business insights. This video will talk about such tools used in Big Data management. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=BigData-Tools-Tutorial-Pyo4RWtxsQM&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Tools-Tutorial-Pyo4RWtxsQM&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 16462 Simplilearn
Spatial Database
 
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Advanced Database System By Indrani Sen (21 10 2018)
Views: 409 UDCS MU
Data warehouse Components – 3 Layer Architecture of Data Warehouse with Diagram(Hindi)
 
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Data warehouse Components – 3 Layer Architecture of Data Warehouse with Diagram(Hindi) Data Warehouse and Data Mining Lectures in Hindi
Introduction to Distributed Database in Hindi  | DDB tutorials #1
 
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In this video we have explain the basic concept of distributed database in simple way with advantages and promises of distributed database and also explain the difference between centralize and distributed database visit our website for full course www.lastmomenttuitions.com NOTES: https://lastmomenttuitions.com/how-to-buy-notes/ NOTES FORM : https://goo.gl/1aQtNc Introduction to Distributed Database : https://goo.gl/JHdpz8 Design Issues in Distributed database : https://goo.gl/aHFe8k Architectures in Distributed database : https://goo.gl/ETL5Ku Fragmentation and correctness rules : https://goo.gl/nbhq5T Horizontal fragmentation : https://goo.gl/N1rvgR Vertical fragmentation : https://goo.gl/tmNxY8 Derived horizontal fragmentation : https://goo.gl/LJ7cvV Query processing cost : https://goo.gl/uUL9de Concurrency Control Protocol : https://goo.gl/XC6oc9 Locking Based Concurrency : https://goo.gl/nrCctM Dead Lock and its Prevention Techniques : https://goo.gl/Nm7Gr6 Dead Lock Detection Method : https://goo.gl/yZxue8 Two Phase commit Protocol: https://goo.gl/6fjYrM Three Phase commit protocol : https://goo.gl/bbFHqV Phases of Distributed Query Processing : https://goo.gl/zUetvK whatsapp: 7038604912 more videos coming soon subscribe karke rakho tab tak
Views: 63815 Last moment tuitions
Data Visualization ll Data Analytics ll Objectives Of Data Visualization Explained in Hindi
 
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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Discrete Mathematics (DM) Theory Of Computation (TOC) Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
Views: 10712 5 Minutes Engineering
Traditional data mining software vs Dataconda
 
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Whereas traditional data mining software can analyze only one flat table, Dataconda can analyze an entire relational database.
Views: 474 Dataconda
Hashing
 
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Hashing Watch More Videos at: https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited.
Introduction to Data Warehouse | Data Warehouse Tutorial | Intellipaat
 
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This intellipaat tutorial of Data Warehousing lets you master the concepts of data warehouse Erwin and data modeling. Get the best Data Warehouse Erwin Training with Video Tutorials for multi-dimensional modeling, CA Erwin Data Modeler SQL data modeling. Get Data Warehousing Online Certification Training Here - https://intellipaat.com/data-warehouse-erwin-training/ Course Overview :- 1. Learn Data warehousing Concepts, Data Modeling and BI Life cycle 2. Erwin database and the concepts of RDBMS 3. Understand slowly changing dimensions (SCD) Implementation methods 4. Work with SQL data, SQL Modeler and SQL Parsing 5. Data Modeling using Erwin design Layer Architecture 6. Work on the concepts of Erwin Forward & Reverse Engineering Click on the time-stamp below to move directly to the points you want to know- Check our complete playlist here: https://www.youtube.com/user/intellipaaat/playlists?shelf_id=4&sort=dd&view=50 Subscribe to our channel to get video updates. Hit the subscribe button above. Who should go for this course? ● Database Administrators and Database Modelers ● Analytics Managers, ETL and BI Developers ● Data Scientists and Analysts Read more about Data Warehousing from our free tutorials - https://intellipaat.com/tutorial/data-warehouse-tutorial/ Read latest questions asked in Interview: https://intellipaat.com/interview-question/data-warehouse-interview-questions/ For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/intellipaatonline/ - Twitter: https://twitter.com/intellipaats For more Details , please visit - http://intellipaat.com/ Or drop an email to - [email protected] , Call us at - +91-7847955955
Views: 1609 Intellipaat
Overview of Query Languages | Database Management System
 
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To ask your doubts on this topic and much more, click on this Direct Link: http://www.techtud.com/video-lecture/lecture-query-language IMPORTANT LINKS: 1) Official Website: http://www.techtud.com/ 2) Virtual GATE: http://virtualgate.in/login/index.php Both of the above mentioned platforms are COMPLETELY FREE, so feel free to Explore, Learn, Practice & Share! Our Social Media Links: Facebook Page: https://www.facebook.com/techtuduniversity Facebook Group: https://www.facebook.com/groups/virtualgate Google+ Page: https://plus.google.com/+techtud/posts Last but not the least, SUBSCRIBE our YouTube channel to stay updated about the regularly uploaded new videos.
Views: 21918 Techtud
Lecture 14 What is Meant by Data Redundancy and  Inconsistency
 
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In this video we learn What is Meant by Data Redundancy and Inconsistency With Prof: Muhammad Safdar Dogar
Views: 1494 safdar dogar
Extended ER Features, Generalization, Specialization, Aggregation in DBMS with Example
 
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DBMS Tutorial in Hindi, English - Extended ER Features, Generalization, Specialization, Aggregation in DBMS with Example for students of IP University Delhi and Other Universities, Engineering, MCA, BCA, B.Sc, M.Sc Colleges.
Views: 108913 Easy Engineering Classes
MS SQL Server Data mining- decision tree
 
18:19
A quick example on how to do data mining using decision tree algorithm within MS SQL Server . We analyze patterns in data that is heavily skewed for specific cases so that we can validate the model.
Views: 5775 Jayanth Kurup
Apache Cassandra | Cassandra Tutorial Part 1 | Cassandra Tutorial for Beginners | Big Data Tutorial
 
02:46:17
( Apache Cassandra Training - https://www.edureka.co/cassandra ) The Apache Cassandra Tutorial starts with the fundamental concepts of using a highly-scalable, column-oriented database to implement appropriate use cases. It will cover topics like Cassandra Datamodels,Cassandra Architecture, Differences between RDBMS and Cassandra to name a few. There will be many challenging, practical and focused hands-on exercises for the learners during this course. Course Objectives: After the completion of 'Apache Cassandra' course at Edureka, you should be able to: 1. Understand Cassandra and NoSQL domain. 2. Create Cassandra cluster for different kinds of applications. 3. Understand Apache Cassandra Architecture. 4. Design and model Applications for Cassandra. 5. Port existing application from RDBMS to Cassandra. 6. Learn to use Cassandra with various programming languages. Who should go for this course? A developer working with large-scale, high-volume websites. An application architect or data architect who needs to understand the available options for high-performance, decentralized, elastic data stores A database administrator or database developer currently working with standard relational database systems who needs to understand how to implement a fault-tolerant, eventually consistent data store A manager who wants to understand the advantages (and disadvantages) of Cassandra and related columnar databases to help make decisions about technology strategy A student, analyst, or researcher who is designing a project related to Cassandra or other non-relational data store options. Pre-requisites This course assumes no prior knowledge of Apache Cassandra or any other NoSQL database. Though some familiarity with Linux command line is essential, minimal exposure to Java,database or data-warehouse concepts is required. Why Learn Apache Cassandra? Apache Cassandra™, an Apache Software Foundation project, is an open-source NoSQL distributed database management system. Apache Cassandra was originally developed at Facebook, and is used by many companies today. While many developers have embraced simpler NoSQL variants (like MongoDB and CouchDB), Cassandra is possibly at the forefront of the NoSQL innovation, providing a level of reliability and fine tuning not found in many of the competitors' offerings. When it comes to scaling, nothing scales like it, the biggest example being the Facebook which uses Cassandra for storing petabytes of Data. Why should you Learn Cassandra? 1. Cassandra is designed to handle Cassandra workloads across multiple data centers with no single point of failure, providing enterprises with extremely high database performance and availability. 2. World's largest Website (i.e Cassandra) is running over Cassandra. 3. Daily 100s of start-ups and large product companies are choosing Cassandra for their next generation computing and data platforms. Some companies using Cassandra are Facebook, Twitter, IBM, Cisco, Rackspace, NetFlix, eBay, Reddit, @WalmartLabs, Zoho, Digg and so on. 4. Apache Cassandra is open-source. It means you can deep dive into its source code and change it according to your own requirements. 5. The job market for Apache Cassandra is at peek and is growing at rate of 300%! http://www.edureka.co/cassandra, Email Us: [email protected], phone : +91-8880862004 Apache Cassandra course starts with the fundamental concepts of using a highly-scalable, column-oriented database to implement appropriate use cases. 6-week Business Analytics course for professionals who aspire to learn advanced concepts like Data Visualization, Data Mining, Model Building in R, Web Analytics. Hadoop Cluster Administration course contain Apache Hadoop and Hadoop Cluster to secure backup options, diagnose and recover node failures a Hadoop Cluster. Learn android development course online from basics to advanced level of android development process in 6 weeks time to become professional android developer. Fundamentals of Cloud Computing, Amazon Web services (AWS), Platform as a Service (PaaS), Software as a Service (SaaS) and Cloud programming will be covered. Comprehensive Java developer Course covers basic concepts and advanced concepts like Method Overloading, Overriding, Inheritance, Interface, Database connectivity. This course is very basics of computers and covers various aspects of C programming. Advanced topics in C such as pointers, stacks, linked lists and File I/O. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 265055 edureka!
DBMS - Specialization and Generalization
 
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DBMS - Specialization and Generalization Watch more Videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
what is  Olap operation in hindi
 
08:07
Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 161279 Last moment tuitions
data dictionary | software engineering |
 
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software engineering data dictionary
Views: 20014 Education 4u
Understanding Data Mart | Datawarehousing | Edureka
 
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***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** Datamart is a smaller version of the Datawarehouse. Data marts deals with a single subject. Datamarts are focused on one area. Hence they draw from a limited number of sources. The video explains Fact Table with the following topics: 1. Difference between Datamarts and Dataware House 2. Types of Data Mart. Related Blogs: http://www.edureka.co/blog/a-brief-on-etl/?utm_source=youtube&utm_medium=referral&utm_campaign=data-mart http://www.edureka.co/blog/architecture-of-a-data-warehouse/?utm_source=youtube&utm_medium=referral&utm_campaign=data-mart Watch Sample Class Recording: http://www.edureka.co/datawarehousing?utm_source=youtube&utm_medium=referral&utm_campaign=data-mart Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. All topics related to ‘Data Mart’ have extensively been covered in our course ‘Data Warehousing’. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 43701 edureka!
Datamart In Data Warehouse || Lecture in Urdu/Hindi
 
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In this video we are going to discuss about What is DataMart? What is the difference between Datamart and Data Warehouse?
Views: 6850 Focus Group
Datawarehouse Implementation with RDBMS and MDDB
 
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This video will help you understand the concepts of datawarehouse implementation along with overview of RDBMS (Relational database) and MDDB (Multidimensional Database)
Views: 573 IBM Cognos Trainer
Fragmentation and correctness rules in Hindi | Distributed Database Tutorials
 
05:48
Video Credit goes to Adwait sharma Notes coming soon visit our website for full course www.lastmomenttuitions.com NOTES: https://lastmomenttuitions.com/how-to-buy-notes/ NOTES FORM : https://goo.gl/1aQtNc Introduction to Distributed Database : https://goo.gl/JHdpz8 Design Issues in Distributed database : https://goo.gl/aHFe8k Architectures in Distributed database : https://goo.gl/ETL5Ku Fragmentation and correctness rules : https://goo.gl/nbhq5T Horizontal fragmentation : https://goo.gl/N1rvgR Vertical fragmentation : https://goo.gl/tmNxY8 Derived horizontal fragmentation : https://goo.gl/LJ7cvV Query processing cost : https://goo.gl/uUL9de Concurrency Control Protocol : https://goo.gl/XC6oc9 Locking Based Concurrency : https://goo.gl/nrCctM Dead Lock and its Prevention Techniques : https://goo.gl/Nm7Gr6 Dead Lock Detection Method : https://goo.gl/yZxue8 Two Phase commit Protocol: https://goo.gl/6fjYrM Three Phase commit protocol : https://goo.gl/bbFHqV Phases of Distributed Query Processing : https://goo.gl/zUetvK whatsapp: 7038604912 more videos coming soon subscribe karke rakho tab tak
Views: 11909 Last moment tuitions
OODBMS 01 Object Oriented Database Systems Introduction in Hindi
 
27:38
Add me on facebook on facebook.com/himanshu.kaushik.2590 Get access to all comprehensive course content in systematic manner. Call us on 9821876104/02 or email us at [email protected] If you have any technical problem you can email us on [email protected] if you have any doubt, you can mail us on [email protected] visit our website www.gatelectures.com www.ugcnetlectures.com Pendrive course, Test series , Online access available Gate , ESE/IES, SSC JE/AE, Ugc net computer science , DSSSB , KVs, DRDO , BARC , ISRO , NIELIT etc Links of Our Demo lectures playlists Our Courses - https://goo.gl/pCZztL Data Structures - https://goo.gl/HrZE6J Algorithm Design and Analysis - https://goo.gl/hT2JDg Discrete Mathematics - https://goo.gl/QQ8A8D Engineering Mathematics - https://goo.gl/QGzMFv Operating System - https://goo.gl/pzMEb6 Theory of Computation - https://goo.gl/CPBzJZ Compiler Design - https://goo.gl/GhcLJg Quantitative Aptitude - https://goo.gl/dfZ9oD C Programming - https://goo.gl/QRNx54 Computer Networks - https://goo.gl/jYtsCQ Digital Logic - https://goo.gl/3iosMc Database Management System - https://goo.gl/84pCFD Computer Architecture and Organization - https://goo.gl/n9H69F Microprocessor 8085 - https://goo.gl/hz5bvv Artificial Intelligence - https://goo.gl/Y91rk2 Java to Crack OCJP and SCJP Examination - https://goo.gl/QHLKi7 C plus plus Tutorials - https://goo.gl/ex1dLC Linear Programming Problems - https://goo.gl/RnRHXH Computer Graphics - https://goo.gl/KaGsXs UNIX - https://goo.gl/9Le7sX UGC NET November examination video solutions - https://goo.gl/Wos193 NIELIT 2017 Question paper Solutions - https://goo.gl/w9QkaE NIELIT Exam Preparation Videos - https://goo.gl/cXMSyA DSSSB Video Lectures - https://goo.gl/f421JF ISRO 2017 Scientist SC paper Solution - https://goo.gl/bZNssE Computer Graphics - https://goo.gl/uWwtgw Number System Digital logic - https://goo.gl/7Q1vG1 Live Classroom Recordings - https://goo.gl/pB1Hvi Verbal Aptitude - https://goo.gl/oJKwfP Thermodynamics - https://goo.gl/BN5Gd6 Heat and Mass Transfer - https://goo.gl/Lg6DzN Pre and Post GATE Guidance - https://goo.gl/k5Ybnz GATE Preparation Tips by Kishlaya Das GATE AIR 37 - https://goo.gl/jfFWQp object oriented database dbms rdbms odb
Views: 1071 DigiiMento Education
Hashing Techniques Hash Function, Types of Hashing Techniques in Hindi and English
 
15:57
Hashing Techniques Hash Function, Types of Hashing Techniques in Hindi and English * Direct Hashing * Modulo-Division Hashing * Mid-Square Hashing * Folding Hashing - Fold-Shift Hashing and Fold Boundary Hashing * PseudoRandom Hashing * Subtraction Hashing For Students of B.Tech, B.E, MCA, BCA, B.Sc., M.Sc., Courses - As Per IP University Syllabus and Other Engineering Courses
Views: 277695 Easy Engineering Classes
Introduction to RDBMS (By Industry Experts)
 
26:47
This video is very helpful to college students or beginners who are either studying in IT Courses like BCA, MCA, B.tech or other computer courses  Difference Between DBMS vs RDBMS  Architecture of PLSQL  Data Modelling  ACID Property  Normalization  Constraints
0.Building DWH Step by Step-Introduction DB Types EFcodd RDBMS
 
23:50
1)What is data? 2)what is database? 3)Types of Databases 4)EF Codd Rules 5)Products on RDBMS in market
Views: 1004 Simplified by Younus
MSBI Tutorials for Beginners | Business Intelligence Tutorial | Learn MSBI | MSBI Training | Edureka
 
01:22:15
This Edureka MSBI Tutorial video will help you learn the basics of MSBI. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries.This video will help you master MSBI concepts such as SSIS, SSAS and SSRS along with demo using SQL Server and Data Tools. Below are the topics covered in this tutorial: 1. Why Business Intelligence? 2. What is BI? 3. BI tools 4. Why Microsoft BI? 5. What is Microsoft BI? 6. Microsoft BI Architecture 7. Tools & Utilities of Microsoft BI 8. Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Microsoft BI playlist here: https://goo.gl/Vo6Klo #MicrosoftBI #MicrosoftBItutorial #MicrosoftBIcourse How it Works? 1. This is a 30 Hours of Online Live Instructor-Led Classes. Weekend Class : 10 sessions of 3 hours each. Weekday Class : 15 sessions of 2 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! --------------------------------------------------- About the Course Edureka's Microsoft BI Certification Course is designed to provide insights on different tools in Microsoft BI Suite (SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services). Get expertise in SSIS , SSAS & SSRS concepts and master them. The course will give you the practical knowledge on Data Warehouse concepts and how these tools help in developing a robust end-to-end BI solution using the Microsoft BI Suite. --------------------------------------------------- Who should go for this course? Microsoft BI Certification Course at Edureka is designed for professionals aspiring to make a career in Business Intelligence. Software or Analytics professionals having background/experience of any RDBMS, ETL, OLAP or reporting tools are the key beneficiaries of this MSBI course. You can check a blog related to Microsoft BI – Why You Need It For A Better Business Intelligence Career!! Also, once your Microsoft BI training is over, you can check the Microsoft Business Intelligence Interview Questions related edureka blog. --------------------------------------------------- Why learn Microsoft BI ? As we move from experience and intuition based decision making to actual decision making, it is increasingly important to capture data and store it in a way that allows us to make smarter decisions. This is where Data warehouse/Business Intelligence comes into picture. There is a huge demand for Business Intelligence professionals and this course acts as a foundation which opens the door to a variety of opportunities in Business Intelligence space. Though there are many vendors providing BI tools, very few of them provide end to end BI suite and huge customer base. Microsoft stands as leader with its user-friendly and cost effective Business Intelligence suite helping customers to get a 360 degree view of their businesses. Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/microsoft-bi Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Amit Vij, HRSSC HRIS Senior Advisor at DLA Piper, says "I am not a big fan of online courses and also opted for class room based training sessions in past. Out of surprise, I had a WoW factor when I attended first session of my MSBI course with Edureka. Presentation - Check, Faculty - Check, Voice Clarity - Check, Course Content - Check, Course Schedule and Breaks - Check, Revisting Past Modules - Awesome with a big check. I like the way classes were organised and faculty was far above beyond expectations. I will recommend Edureka to everyone and will personally revisit them for my future learnings."
Views: 46521 edureka!
Distributed Database Introduction | Features | Advantages and Disadvantages
 
15:22
Distributed Database Introduction | Features | Advantages and Disadvantages Like Us on Facebook - https://www.facebook.com/Easy-Engineering-Classes-346838485669475/ DBMS Hindi Classes Database Management System Tutorial for Beginners in Hindi Database Management System Study Notes DBMS Notes Database Management System Notes