Data Engineering Essentials – SQL, Python and Spark

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A brief description

You can learn all of the Data Engineering Fundamentals related to developing Data Pipelines using SQL, Python, and Spark as part of this course.

Concerning Data Engineering

Digital engineering is nothing more than the processing of data in accordance with our downstream requirements. As part of Data Engineering, we must create various pipelines such as Batch Pipelines, Streaming Pipelines, and so on. Under Data Engineering, all functions related to data processing are grouped together. ETL Growth, Data Warehouse Development, and other terms have been used in the past.

Information on the course

As part of this course, you will be learning Data Engineering Essentials such as SQL, Programming using Python and Spark. Here is the detailed agenda for the course.

  • Database Essentials – SQL using Postgres
    • Getting Started with Postgres
    • Basic Database Operations (CRUD or Insert, Update, Delete)
    • Writing Basic SQL Queries (Filtering, Joins, and Aggregations)
    • Creating Tables and Indexes
    • Partitioning Tables and Indexes
    • Predefined Functions (String Manipulation, Date Manipulation, and other functions)
    • Writing Advanced SQL Queries

      This course is intended for the following individuals:

      IT (Information Technology) Students or other graduates interested in seeking a career in IT are urged to apply.
      Developers who wish to shift from data warehouse to data engineering positions
      ETL Developers interested in stepping into Computer Engineering positions
      Developers with expertise in databases or PL/SQL who wish to step into Computer Engineering
      BI Developers interested in stepping into Computer Engineering positions
      Data Engineering will be taught to QA Engineers, and Data Engineering will be taught to Device Developers.

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