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|Jun 28 th||
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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.
Knowledgeable Presenters, Professional Materials, Excellent Customer Support what else can a person ask for when acquiring a new skill or knowledge to enhance their career. Edureka true to its name is the place to gather garner and garden the knowledge for all around the globe. My Best wishes to Edureka's team for their upcoming bright future in E-Learning sector."
I was taking a course for Data Visualization with Tableau , and had wonderful experience with edureka, The instructors are well presentable and dedicated and have gone extra mile to provide the insights for the course. The instructor had done a great job to explain each and every feature with a real life example and provided hands on live examples during the sessions. Very well done edureka, I am willing to take some courses from you in near future and thanks you for making my learning experience knowledgeable and enjoyable. Definitely worth the effort and good value for money.
I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent learning experience, most of the instructors were very interactive and having extensive industry knowledge. The support team is highly professional, always ready to assist you and let you chose your classes based on your own availability. The Learning Management System(LMS) is great. and good thing is that you would get Lifetime access to all the course that you have registered. Apart from courses and instructors, Edureka support is excellent as they provide quick resolution to any issues(example VM setup. cluster connectivity issues and etc) . If you are looking for Big Data related courses then Edureka is the right place.
I have taken Informatica, Hadoop, R-programming, Spark and Scala and several other training's from past 3 years. There is no way to say that these courses are bad.. this is the exceptional institute with so many senior people who spend lot of their efforts for a cause. Because i know the pain as a trainer as well. Hats off to to team and the person who started edureka. I'm posting my personal experience and i do lot of social service. Good luck to others.
Thanks for the quick reply and solving the issue. I was really impressed by your 24/7 support even during the festive period. I appreciate your service and the trainer for Bigdata is very friendly and we've learnt the subject in very effective way. Thanks Edureka for doing such a great things.
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.