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Data Warehouse Tutorial for Beginners

This is a free tutorial that serves as an introduction to help beginners learn the various aspects of data warehousing, data modeling, data extraction, transformation, loading, data integration, and advanced features. This includes free use cases and practical applications to help you learn better.

This Data Warehouse Tutorial also covers a data warehouse overview, data warehousing terminologies, DWH architecture, ‘What is ETL?’, Business Intelligence life cycle, DWH technology, OLAP and multidimensional models, DWH external/unstructured data in the warehouse, merits and demerits of using DWH, DWH quality management and tools used and their advantages, star schema, and snowflake schema.

Watch What is Data Warehouse Tutorial:

Following are the benefits of deploying a strong data warehousing technology:

  • Stored data is processed using statistical analysis, reporting, etc.
  • Production strategies can be fine-tuned using the data warehouse information
  • Customer buying preferences can be possible by analyzing DWH information.

Data Warehouse (OLAP) vs. Online Transaction Processing (OLTP)

As we know that data warehouse works on OLAP (Online Analytical Processing) which is exactly different from OLTP (Online Transaction Processing). The following comparison will give show why OLAP is a way better concept than the conventional OLTP:

Check out this all-inclusive Data Warehouse Tutorial Video:

Basis of difference DWH (OLAP) OLTP
Data types Transactional data Data from multiple sources
Suitable for Basic business operations Predicting future trends and analysis
Storage size From 100 GB up to 1 TB 100 MB to 1 GB
Number of records accessed Millions Fewer
Dimensional view of data Multidimensional view Flat relational view

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Course Schedule

Name Date Details
Data Warehousing Training 03 Jun 2023(Sat-Sun) Weekend Batch
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Data Warehousing Training 10 Jun 2023(Sat-Sun) Weekend Batch
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Data Warehousing Training 17 Jun 2023(Sat-Sun) Weekend Batch
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