ETL Development

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What is ETL (Extract, Transform & Load)?

ETL is a type of data integration process referring to three distinct but interrelated steps (Extract, Transform and Load) and is used to synthesise data from multiple sources many times to build a Data Warehouse or Data Hub.

Why Do We Need ETL?

It is essential to properly format and prepare data in order to load it in the data storage system of your choice. The triple combination of ETL provides crucial functions that are many times combined into a single application or suite of tools that help in the following areas:

  • Offers deep historical context for business.

  • Enhances Business Intelligence solutions for decision making.

  • Enables context and data aggregations so that business can generate higher revenue and/or save money.

  • Enables a common data repository.

  • Allows verification of data transformation, aggregation and calculations rules.

  • Allows sample data comparison between source and target system.

  • Helps to improve productivity as it codifies and reuses without additional technical skills.

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Stages of ETL Process

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Data Extraction

Get the Right merchendise to the right store

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Data Cleansing

Get the Right merchendise to the right store

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Transformation

Get the Right merchendise to the right store

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Loading

Get the Right merchendise to the right store