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Learning Objectives - In this module, you will get an introduction of Data Warehousing and Business Intelligence with various ETL Tools and BI Tools with ERwin r9 Data Modeling.
Topics - What is Data Warehousing?, Definitions by W.H. Inmon [Top-Down Design], Ralph Kimball [Bottom-Up Design], Inmon Vs Ralph Kimball, Data Warehousing Tools, Schema Modeling Tools, CA, ERwin, Dell Toad Data Modeler, Oracle Data Modeler, ETL Tools: Informatica Power Center, Talend DI Open Studio, IBM Data Stage, SAS, Data Warehousing categories. What is BI - Business Intelligence?, BI Definition, BI Tools, Classification of BI Tools.
Learning Objectives - In this module, you will learn about the Data Warehouse Architecture which talks about the Various Source Systems i.e., Production Data into Relational, Flat File and various legacy system to Staging Area and finally into the Data Warehousing/Data Mart for presentation layer.
Topics - Relational Vs Analytical. What are - OLTP, OLAP, OLAP categories - MOLAP, ROLAP, HOLAP, Data Warehouse Vs Data Mart, Dependent and Independent Data Mart, Data Warehouse Architecture, Source System, ETL Extraction, Transformation. What is a cube?, Benefits of cube?, How to create the cube?, How to deploy a cube?, How to create a report using a cube?
Learning Objectives - In this module, you will learn about different categories of Dimensional and Fact Type tables. Dimension - Slowly Changing Dimension concepts with Hierarchies and Level Attributes. Fact - Granularity for the fact data and also talks about the Measure Type.
Topics - DIMENSION TABLE - What is a Dimension Table?, Dimension table categories, FACT TABLE - What is Fact Table?, Fact Table Granularity, Fact Table categories.
Learning Objectives - In this module, you will learn about What is Data Normalization and their 3 types of forms. Here you learn about the type of dimensional modeling, benefits, principles and characteristics
Topics - What is Data Normalization?, Data Normalization Rules - 1NF, 2NF, 3NF, Data De-Normalization, Dimensional Modeling - What is DM?, Principles, Benefits, Type and Technique.
Learning Objectives - In this module you will see how we create a staging and target data warehouse and data marts from scratch to final. Decide the surrogate key, Dimension and Fact Tables. You also learn to generate the SQL scripts via ERwin r9.
Topics - Source System Understanding, Future Data Requirement and Understanding, Designing and Developing Dimension Table, Designing and Developing Fact Table Designing and Developing ER Model With ERwin, Designing and Developing Entity Relationship Modeling.
Learning Objectives - In this module, you will learn about the open source and commercial ETL Tools available into the market and it various comparisons. You will learn to create the flat file and relational target via Talend DI Open Studio 5.x using various Transformations.
Topics - Open source ETL Talend DI Open Studio -Difference between Licensed and Open Source ETL Tools, What are Licensed and Open Source ETL Tools, Working with ETL Transformation in Talend Open DI Studio.
Learning Objectives - In this module, you will learn to create the actual business model and data integration jobs with management of various ETL items. You will learn how the actual ETL Projects work with BRD[Business Requirement Document] and TDD [Technical Design Document] and its uses.
Topics - Building ETL Project Talend DI Open Studio, Understanding the Data Source System which will be a future Data Requirement, Identify Business Requirement Gathering, Building the ETL Talend Technical Design Document, Building an ETL Project.
Learning Objectives - In this module, you will learn about the Data Visualization Tools available in the market. You will learn to create reports and dashboards via Tableau 9.x using various functions.
Topics - Data Visualization BI Tool : Tableau 9.x-Introduction to Data Visualization with Tableau, Exploring Data Visualization with Tableau. What is Data Visualization?, Exporting Data and Working With Tableau.
Learning Objectives - In this module, you will learn to create reports and dashboards via Tableau 9.x using various advance features and functions. You also need to understand the various current and new report requirement.
Topics - Building Data Visualization BI Project With Tableau 9.x, BI Reporting Understanding, Report and Dashboard Template Document, Tableau Design and Development Database Source Connection.
Learning Objectives - This is an integrated Data Warehousing and Business Intelligence Project which starts from User Source System and Business Requirement Gathering till end of Project Development with production support strategies developments.
Topics - An Integrated Data Warehousing & BI Project, Developing a Data Warehouse and BI Project, Source System understanding today's data that will be the future data requirement, Identify the Business Requirement Gathering, Report and Dashboard Template Document, Designing and Developing Models, Designing and Developing the Staging Area, Finalizing the Dimension Modeling Type, Designing and Developing Dimension Modeling.
Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get urself acquainted to the new technology. Very helpful support service from Edureka.
The online course delivered by Edureka on big data, Hadoop - developer is really nice. The first thing of Edureka is that, the very first day of your registration, you have access the full tutorial ( record of some previous batch) and which will provide enough knowledge/teaching, so whenever you are attending your actual training session, you are not a fresher of the session, but a kind, expert and you can clear any knowledge gap.More of that, as you are getting 2 lectures for the same session, your knowledge is much more, than you would have expected. As these recording will be available you for ever, you always go again and again and again.The help/administration/support is really really good.For Hadoop big Data developer, I will recommend to join.Thanks
Earlier I had taken training in different technologies from other institutes and companies but no doubt Edureka is completely different, First time in my carrier I have received such kind of training and support. They have really awesome instructors. The support persons are technically sound and I would like to appreciate their 24 x 7 support. I never seen such kind of support by other companies in India till now. When I had started training on Hadoop I do not have any idea of Java but their training structure is marvelous and they taught Java in very easy way and build up confidence in it. My training is still going on and it is about to finish and I would like to thanks Edureka to help me to find robust path of carrier with such a new and emerging technology of Big Data.
Edureka is providing the best software training I have seen in my 10 years of IT career. I have been an Edureka student for over one year now. Having completed courses such as AWS Architect Certification Training, DevOps Certification Training and Hadoop Administration. I must say Edureka has excellent course content for some of the latest software technologies and is suplimented by well experienced trainers. I am impressed by all the trainers I came across with edureka. Also Edureka provides unique training platform where each live session of the course is recorded and this can be played back unlimited times by the student and has lifetime access to these recordings. This is great way to learn and stay ahead.
I would definitely like to give more than 5 stars to Edureka, i have been associated with more than two years from now, and i have never had any issue or any complains. Support staff is excellent and very professional, the amount of time they spend with each customer is really appreciated. Today I registered for the PMP training, and Mr Shyam from sales was extremely good to do the registration process. Keep up the good work , a very well organized and structured company I would say.
Awesome faculty. Awesome explanation on topics. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered in no time. I also approached your support team for a change in class and the instructor. They allowed me to choose instructor of my choice and now my learning is much at its peak. Thanks to one and all sitting out there in the support team. They even provide a prompt response during weekends. That's a good feature. We professionals get time only during the weekend to focus on studies and when we do so we get stuck into problems; but no way have we had a good Edureka support Team. Thanks once again.
Towards the end of the Course, you will be working on a live project where you will be using Adventure Work Dataset, Sales Dataset to perform various Data and Reporting Analytics.
Project #1 : Creation of Sales Data Warehouse & Data Marts.
Industry : Retail
Data : North-wind/Adventure Works dataset.
Problem Statement : Creation Sales Data Mart using ERwin r9
Project #2 : Transaction Analysis for Retail
Industry : Retail
Data : Sales data from Real time retail project. (Data will be masked)
Problem Statement : Analysing & Loading Retail Transaction Data using Talend.
Project #3 : Transaction Analysis for Retail Analytics
Industry : Retail
Data : Real Time Retail Analytics Dashboard Project.
Problem Statement : Building Real Time Retail Analytics Dashboard using Tableau.