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Course content

About Data Warehousing program in Abohar

Why a data warehouse?

What is a data warehouse?

The purpose of a data warehouse

What is Business Intelligence?

Data Lake or Data Warehouse?

Data Lake & Business Intelligence

Setting up Pentaho (ETL tool)

Demos & Hands-on

Pentaho for Mac M1/M2: Installation & Troubleshooting

Setting up PostgreSQL (Database system)

3 Layers of a Data Warehouse

Staging area

Demo: Setting up the staging area

Data Marts

Staging area & Data Marts

Relational databases

In-Memory databases

Cubes

Different database systems

Operational Data Storage

What is dimensional modeling?

Why dimensional modeling?

Facts

Dimensions

Star schema

Snowflake schema

Demo: Product & Category dimension (snowflaked)

Facts & Dimensions (ProjectLogs)

Facts & Dimensions (SalesTransactions)

Additivity

Nulls in facts

Year-to-Date facts

Types of fact tables

Transactional fact tables

Periodic fact tables

Accumulating snapshots

Comparing fact table types

Identifying fact tables

Factless fact tables

Steps in designing fact tables

Surrogate Keys

Dimension tables

Date dimensions

Nulls in dimensions

Hierarchies in dimensions

Conformed dimensions

Degenerate dimensions

Junk dimension

Role-playing dimension

Case Study: Date dimension

Understanding dimensions

What are slowly changing dimensions?

Type 0 - Original

Type 1 - Overwrite

Type 2 - Additional row

Administrating Type 2 dimensions

Mixing Type 1 & Type 2

Type 3 - Additional attribute

Understanding Slowly Changing Dimensions

Understanding the ETL process

Extract

Initial Load

Delta Load

Load Workflow

Demo: Quick Intro to Pentaho

Demo: Setting up tables in SQL

Demo: Initial Load example

Demo: Delta Load example

Transforming data

Basic Transformations

Advanced Transformations

Demo: Planning next steps

Demo: Table setup & Complete Staging

Demo: Transform

Demo: Load & Validate results

Scheduling jobs

ETL tools

Choosing the right ETL tool

What is an ELT?

ETL vs. ELT

What are the common use cases?

Connecting the DWH to Power BI

Using indexes

B-tree indexes

Bitmap indexes

Guidelines for indexes

Cloud vs. on-premise

Benefits of cloud vs. on-premise

Massive parallel processing

Columnar storage

Why Should You Learn Data Warehousing program in Abohar Training?

The annual salary of an Data Warehousing program in Abohar is $125k.

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Program Core Credentials

Trainer Profiles

Industry Experts

Trained Students

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Track	Week Days	Course Duration	Fast Track
Week Days	40-45 Days	2 Hrs. Per Day	Online
Course Duration	7 Weekends	3 Hrs. Per Day	Online
Fast Track	8 Days	6+ Hrs. Per Day	Online

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Students Reviews

Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

Pooja Nair

ETL Developer

Pooja Nair is an ETL Developer trained at Zeblearnindia. She excels in extracting, transforming, and loading data from various sources into data warehouses, ensuring data integrity and optimizing ETL processes for improved performance.

Rakesh Patel

Data Warehouse Analyst

Rakesh Patel is a Data Warehouse Analyst from Zeblearnindia. His expertise includes analyzing data warehouse performance, identifying optimization opportunities, and ensuring data accuracy and consistency across the organization.

Karan Malhotra

Data Warehouse Manager

Karan Malhotra is a Data Warehouse Manager trained at Zeblearnindia. He oversees the entire data warehousing process, from data collection and storage to analysis and reporting, ensuring efficient and effective data management practices.

Akash Verma

Data Warehouse Architect

Akash Verma is a Data Warehouse Architect certified by Zeblearnindia. He specializes in designing and implementing data warehouse solutions that support efficient data storage, retrieval, and analysis for business intelligence applications.

Ananya Rao

Business Intelligence Analyst

Ananya Rao is a Business Intelligence Analyst certified by Zeblearnindia. She focuses on leveraging data warehouse solutions to generate actionable insights, create comprehensive reports, and support strategic decision-making processes.