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05:05
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/
Views: 372609 Intricity101

20:56
OLAP Servers and Operations
Views: 41270 minderchen

24:15
An introduction to multidimensional business intelligence and OnLine Analytical Processing (OLAP) suitable for both a technical and non-technical audience. Covers dimensions, attributes, measures, Key Performance Indicators (KPIs), aggregates, hierarchies, and data cubes. Downloadable slides available from SlideShare at http://goo.gl/4tIjVI
Views: 60176 Michael Lamont

10:18
This video lesson fully explains the concepts of Business Intelligence, OLAP, MDX and and how they apply to Excel 2013. At http://ExcelCentral.com you can view over 850 free Excel video lessons just like this one. All in full HD with vari-speed and human-transcribed subtitles providing the perfect Excel learning environment. You can also track your progress through the course and print a certificate upon completion. Separate videos are provided for Excel 2007, Excel 2010 and Excel 2013. The lesson begins with an explanation of OLAP and its purpose. You'll learn about OLAP Cubes and how they are divided into Dimensions, Measure and Hierarchies to create a multidimensional data structure. You'll also learn about how the MDX query language is used to extract values from OLAP cubes. This lesson also explains the concept of Business Intelligence and how it applies to OLAP. This video comes from the Data Model, OLAP, MDX and BI session (Session 6 in our Excel 2013 Expert Skills free video training course). This session includes the following video lessons: ▪ Lesson 6-1: Understand primary and foreign keys (11m 27s) http://excelcentral.com/excel2013/expert/lessons/06010-understand-primary-key-foreign-key-relationships.html ▪ Lesson 6-2: Create a simple data model (6m 31s) http://excelcentral.com/excel2013/expert/lessons/06020-create-a-simple-data-model.html ▪ Lesson 6-3: Understand OLAP, MDX and Business Intelligence (10m 17s) http://excelcentral.com/excel2013/expert/lessons/06030-what-is-business-intelligence-and-an-olap-cube.html ▪ Lesson 6-4: Use the GETPIVOTDATA function (4m 31s) http://excelcentral.com/excel2013/expert/lessons/06040-use-the-getpivotdata-function.html ▪ Lesson 6-5: Use the CUBEVALUE function to query an OLAP cube (5m 40s) http://excelcentral.com/excel2013/expert/lessons/06050-use-the-cubevalue-function-to-query-an-olap-cube.html ▪ Lesson 6-6: Convert CUBEVALUE functions to include MDX expressions (5m 48s) http://excelcentral.com/excel2013/expert/lessons/06060-convert-cubevalue-functions-to-include-mdx-expressions.html ▪ Lesson 6-7: Understand OLAP pivot table limitations (10m 52s) http://excelcentral.com/excel2013/expert/lessons/06070-understand-olap-pivot-table-limitations.html ▪ Lesson 6-8: Create an asymmetric OLAP pivot table using Named Sets (4m 57s) http://excelcentral.com/excel2013/expert/lessons/06080-create-an-asymmetric-olap-pivot-table-using-named-sets.html ▪ Lesson 6-9: Understand many-to-many relationships (11m 5s) http://excelcentral.com/excel2013/expert/lessons/06090-understand-many-to-many-relationships.html ▪ Lesson 6-10: Create an OLAP pivot table using a many-to-many relationship (12m 47s) http://excelcentral.com/excel2013/expert/lessons/06100-create-an-olap-pivot-table-using-a-many-to-many-relationship.html You can watch any of the 850 Excel video lessons, free and without any required registration at http://excelcentral.com/excel2013/expert/tutorials/default.html.
Views: 249422 ExcelCentral.com

07:07
Olap operations
Views: 27441 IMSUC FLIP

09:19

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Views: 5122 Ranji Raj

01:38:50
Views: 239988 edureka!

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Views: 70624 KNOWLEDGE GATE

17:31
Discuss the basic archietcture for Data Warehouse and Business Intelligence; Compare OLTP vs.OLAP
Views: 121150 minderchen

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#olap #oltp #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: 112202 Last moment tuitions

08:20

07:02
Views: 847 Jean Nelson

16:44
Views: 32450 Matthew Love

13:18
Data Mining and Analysis on OLAP
Views: 601 Pratibha Yalagi

52:30
Views: 51671 edureka!

04:23
interRel presents Look Smarter Than You Are with Oracle Online Analytical Processing: Types of OLAP Technologies. interRel's Haranadh Kancherla provides a wonderful summary of the various OLAP technologies that enable you to make strategic business decisions. Learn all about it right here! To see more of our videos, go to http://epm.bi/videos
Views: 5138 interRel Consulting

11:31
Data Warehouse , Difference between ALTP & OLAP Technology
Views: 2729 Dr.Anamika Bhargava

04:56
Hello friends in this video i have talked on OLAP models. Like ROLAP , MOLAP , DOLAP and HOLAP.
Views: 4177 Technical Dhananjay

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ROLAP MOLAP HOLAP These OLAP SERVERS are explained in this video 📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- 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: 24536 5 Minutes Engineering

04:20
By Arjun
Views: 114 Arjun Kudikala

04:32

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Prof. Sandeep Patil, I Square IT, in this video provides and introduction to the basics of OLAP operations. It explains the operations like Roll Up, Drill Down, Slice, Dice and Pivot. Prof. explains these concepts with the help of suitable examples. The video also outlines, the need for this concepts and how software engineers can use these concepts at work in Business Intelligence. He explains how OLAP is a powerful technology for data discovery with capabilities for limitless report viewing, analytical calculations, and predictive scenario which helps in planning.
Views: 4999 I2IT Pune Official

04:15
A look at the benefits of Data Warehousing & Data Mining. Data warehousing can be said to be the process of centralising historical data from multiple sources into one location. Data mining is the process of finding patterns in a Data Warehouse using technologies such as Online Analytical Processing (OLAP).
Views: 4448 Christopher Kalodikis

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Analysis Services is a collection of OLAP supplied in Microsoft SQL Server. See more lessons http://www.learn-with-video-tutorials.com/analysis-services-video-tutorial

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Views: 6930 Tushar Agarwal

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In this tutorial, you 'll learn what is the difference between OLAP and OLTP. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before it is used in the DW for reporting. The typical extract-transform-load (ETL)-based data warehouse uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups often called dimensions and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data.[4] This definition of the data warehouse focuses on data storage. The main source of the data is cleaned, transformed, cataloged and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support.[5] However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform and load data into the repository, and tools to manage and retrieve metadata.

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📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- 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: 8868 5 Minutes Engineering

04:36
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- 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: 12845 5 Minutes Engineering

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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: 284994 Last moment tuitions

17:45
ETL and SSIS : https://youtu.be/kWxv9E7g-JM Business Intelligence is a technology based on customer and profit-oriented models that reduce operating costs and provide increased profitability by improving productivity, sales, service and helps to make decision-making capabilities at no time. Business Intelligence Models are based on multidimensional analysis and key performance indicators (KPI) of an enterprise "A data warehouse is a subject oriented, integrated, time variant, a nonvolatile collection of data in support of management's decision-making process". In addition to a relational/multidimensional database, a data warehouse environment often consists of an ETL solution, an OLAP engine, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users. Data Mart - Datamart is a subset of data warehouse and it supports a particular region, business unit or business function. ETL (Extract, Transform and Load) is a process in data warehousing responsible for pulling data out of the source systems and placing it into a data warehouse. ETL and SSIS : https://youtu.be/kWxv9E7g-JM The Online Analytical Processing is designed to answer multi-dimensional queries, whereas the Online Transaction Processing is designed to facilitate and manage the usual business applications. While OLAP is customer-oriented, OLTP is market-oriented. Both OLTP and OLAP are two of the common systems for the management of data. The OLTP is a category of systems that manage transaction processing. OLAP is a compilation of ways to query multi-dimensional databases Tools for Data warehouse: Amazon Redshift Oracle 12c MSBI Informatica Data Validation. QuerySurge. ICEDQ. Datagaps ETL Validator. QualiDI. Talend Open Studio for Data Integration. Codoid's ETL Testing Services. Data Centric Testing.
Views: 5268 Learners Page

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Dieses Begleitvideo zum Buch ›Datenbanken & SQL‹ (http://lulu.com/spotlight/matthias_wolf) gehört zum Abschnitt Business Intelligence und erläutert die Begriffe Datawarehouse, Data Mart, Data Mining, OLAP, Operationen Schemata
Views: 1468 Matthias Wolf

27:51
Views: 7845 3gvideo

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Views: 5856 Ranji Raj

17:00
Data mIning
Views: 4822 minderchen

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Online Analytical Processing Operations Roll Up/Drill Up And Drill Down Explained In Hindi. GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING SUBJECT :- 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: 17681 5 Minutes Engineering

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Views: 648 3gvideo

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This video shows how to use Business Intelligence Development Studio (BIDS) to create an data cube for SQL Server Analysis Server 2008 This demo shows how to: Use BIDS to create a data model project Create Data Sources, Data Views, Dimensions, & Cubes Deploy the project to SSAS 2008
Views: 153170 DeveloperVideos

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http://sqlzerotoprotraining.com This video provides an overview of Multidimensional Online Analytical Processing (MOLAP). Category: Databases Tags: MOLAP, Overview, OLAP, Multimensional
Views: 23214 HandsonERP

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Data Warehousing and OLAP - TechNet - Microsoft Data Warehousing OLAP - TutorialsPoint OLTP vs. OLAP - Data Warehouse What is OLAP (online analytical processing)? - Definition ... Data Warehouse and OLAP Data Warehouse vs. OLAP Cube | Solver Blog Data Warehouse vs. OLAP Cube? - Stack Overflow OLAP - Wikipedia Data warehousing - difference between OLAP and data ... The Role of the OLAP Server in a Data Warehousing - Oracle Data Warehousing and OLAP - Oracle Data Warehousing and Business Intelligence What is the difference between Data Warehouse and online . OLAP & DATA WAREHOUSE - presentations Data Warehousing Review - Introduction to OLAP An Overview of Data Warehousing and OLAP Technology Business Intelligence, Databases, Data Warehousing and ... Data Warehousing, Data Mining, OLAP and OLTP ... Business Intelligence 101 - A Beginner's Guide to BI Software Datawarehousing : OLTP Vs OLAP - YouTube Lecture - 30 Introduction to Data Warehousing and OLAP ... Data Warehousing and OLAP Bibliography - Daniel ... Kimball GroupStar Schema OLAP Cube | Kimball ... Data Warehousing and OLAP Technology Data warehousing and OLAP Technology Data Warehousing and OLAP Bibliography Data Warehousing and OLAP - Information Systems What is the difference between OLTP and OLAP? - Quora Data Warehouses and OLAP: Concepts, Architectures and ... Using data warehousing and OLAP in public health care.
Views: 3024 Ahmed Elsayed

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This short video provides a business friendly description of Dimensions, Measures, Hierarchies, and Data Grain. To Talk with a Specialist go to: http://www.intricity.com/intricity101/
Views: 124487 Intricity101

32:35
This video contains the description about 1. OLAP operations on Multi-Dimensional Model 2. Explanation with example diagram

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Difference between olap and oltp
Views: 16747 Sanjay Pathak

04:29
Views: 2494 Ranji Raj

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Professor Arif Ansari This course helps to build Business Analytics skill set required by companies. At least sixty percent of the class time is spent on data mining which is especially useful to companies, because it allows you to understand customers to a level not possible before. This course is about how companies apply two new technologies, data warehousing (DW) and data mining (DM, including business intelligence, BI) to empower their employees, and build and manage a customer-centric business model. Besides learning the strategic role DW and DM plays in an enterprise, you will also get a close-up look at DW and DM by working on cases and gaining hands-on experience using software tools. Students taking this class will get an overview of the technologies of DW and BI/DM from a managerial perspective. Finance companies have started data mining, example: Capital One Credit Card Company. Real Estate companies are now using neural networks to evaluate the price of homes.

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Learn from Matt Usher, Principal Program Manager at Microsoft, how Azure SQL Data Warehouse integrates with business intelligence tools. It can integrate directly on your Azure SQL Data Warehouse or combine with Azure Analysis Services to power lightning-fast analytics across your entire company. Learn more: https://aka.ms/sqldw
Views: 125 Microsoft Azure

01:56
A quick primer on the differences between OLTP and OLAP when it comes to reading and reporting on data. This information is very useful for designing the most highly optimized analytics and business intelligence software solutions.
Views: 17647 Edward Kench

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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: 109212 Last moment tuitions

06:01