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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

Data validations or data type checks can be performed using SQL, while duplicates, foreign key constraints, and NULL checks can all be identified using ETL solutions. Data processing tasks containing SQL-based data transformations can be conducted utilizing Hadoop or Spark executors by ETL solutions.

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Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Strong schema support : Avro has a well-defined schema that allows for type safety and strong data validation.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Step 4: Data Transformation and Enrichment Data transformation involves changing the format or value inputs to achieve a specific result or to make the data more understandable to a larger audience. Enriching data entails connecting it to other related data to produce deeper insights.