Data Warehousing and BI Analytics Training

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What is Data Warehousing and BI Analytics Training about?

This course prepares you with the skills and hands-on experience to design, implement and maintain enterprise data warehouse systems and business intelligence tools. You’ll gain extensive knowledge on various data repositories including data marts, data lakes and data reservoirs, explore data warehousing system architectures, deepen on data cubes and data organization using related tables. And analyze data using business intelligence like Cognos Analytics, including its reporting and dashboard features, and interactive visualization capabilities.

What are the objectives of Data Warehousing and BI Analytics Training ?

• Describe the architecture, features, and benefits of data warehouses, data marts, and data lakes and identify popular data warehouse system vendors.

• Design and populate a data warehouse, and model and query data using SQL to build CUBEs, ROLLUPs, and Materialized Views.

• Analyze warehouse data using popular Business Intelligence (BI) tools such as Cognos Analytics to create reports and dashboards.

• Demonstrate loading data into a data warehouse, writing aggregation queries, creating materialized query tables, and building an analytics dashboard.

Who is Data Warehousing and BI Analytics Training for?

Anyone who want to make career as Data Engineers, Data Warehousing Specialists and BI Analysts.

What are the prerequisites for Data Warehousing and BI Analytics Training?

Learner should be familiar with SQL.

Available Training Modes

Live Online Training

18 Hours

Self-Paced Training

7 Hours

Course Outline Expand All

Expand All

Module 1 - An Introduction to Data Warehouses, Data Marts, and Data Lakes

• Introduction and Learning Objectives, Incomplete

• Data Warehouse Overview (5:02), Incomplete

• Popular Data Warehouse Systems

• Selecting a Data Warehouse System

• IBM Db2 Warehouse (Optional)

• Data Marts Overview

• Data Lakes Overview

• Summary & Highlights

Module 2 - Designing, Modeling and Implementing Data Warehouses

• Module Introduction and Learning Objectives

• Overview of Data Warehouse Architectures

• Cubes, Rollups, and Materialized Views and Tables

• Grouping Sets in SQL

• Facts and Dimensional Modelling

• Data Modeling using Star and Snowflake Schemas

• Staging Areas for Data Warehouses

• Verify Data Quality

• Populating a Data Warehouse

• Querying the Data

• Materialized Views

• Summary & Highlights

Module 3 - Data Warehouse Analytics

• Introduction and Learning Objectives

• Introduction to Analytics and Business Intelligence (BI) Tools

• Cognos Analytics: Introduction and How to Sign Up

• Navigating in Cognos Analytics

• Creating a Simple Dashboard in Cognos

• Advanced Capabilities in Cognos Analytics Dashboards

• Accessing Your Warehouse with Cognos

• Summary & Highlights

Who is the instructor for this training?

The trainer for this Data Warehousing and BI Analytics Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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