Quick Answer: What are the types of transformation in ETL?

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What are the different types of transformation in ETL?

ETL transformation types

  • Cleaning: Mapping NULL to 0 or “Male” to “M” and “Female” to “F,” date format consistency, etc.
  • Deduplication: Identifying and removing duplicate records.
  • Format revision: Character set conversion, unit of measurement conversion, date/time conversion, etc.

What are the types of data transformation?

Top 8 Data Transformation Methods

  • 1| Aggregation. Data aggregation is the method where raw data is gathered and expressed in a summary form for statistical analysis. …
  • 2| Attribute Construction. …
  • 3| Discretisation. …
  • 4| Generalisation. …
  • 5| Integration. …
  • 6| Manipulation. …
  • 7| Normalisation. …
  • 8| Smoothing.

What are the three most common transformations in ETL processes?

Let’s dive in and learn how to convert raw data into insights through the three-step ETL process.

  • 1st Step – Extraction. …
  • 2nd Step – Transformation. …
  • 3rd Step – Loading. …
  • Heightened Business Intelligence. …
  • Greater ROI. …
  • Scalable Performance. …
  • Document ETL Process.

What is transformation in ETL Testing?

ETL Testing – Data Transformations

The key to perform a successful ETL testing for data transformations is to pick the correct and sufficient sample data from the source system to apply the transformation rules. … Validating the data types within the warehouse are the same as was specified in the data model or design.

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What are the 4 functions of transforming the data into information?

Take Depressed Data, follow these four easy steps and voila: Inspirational Information!

  • Know your business goals. An often neglected first step you have got to be very aware of, and intimate with. …
  • Choose the right metrics. …
  • Set targets. …
  • Reflect and Refine.

What is data integration in ETL?

What it is and why it matters. ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources. It’s often used to build a data warehouse.

What are the five main steps in the ETL process?

The 5 steps of the ETL process are: extract, clean, transform, load, and analyze. Of the 5, extract, transform, and load are the most important process steps.

How many types of OLAP servers are there?

There are three main types of OLAP: MOLAP, HOLAP, and ROLAP. These categories are mainly distinguished by the data storage mode. For example, MOLAP is a multi-dimensional storage mode, while ROLAP is a relational mode of storage.