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Azure Databricks and Spark SQL (Python)

Knowledge ScienceDatabricksDevelopment

Azure Databricks and Spark SQL (Python)

Databricks is among the most in demand massive knowledge instruments round. It’s a quick, simple, and collaborative Spark based mostly massive knowledge analytics service designed for knowledge science, ML and knowledge engineering workflows.

The course is full of lectures, code-along movies and devoted problem sections. This must be greater than sufficient to maintain you engaged and studying! As an added bonus additionally, you will have lifetime entry to all of the lectures… and I’ve supplied detailed notebooks as a downloadable asset, the notebooks will include step-by-step documentation with further assets and hyperlinks.

I’ve ensured that the supply of the course is partaking and concise, the curriculum is in depth but delivered in an environment friendly approach. The course will give you hands-on coaching utilising a wide range of totally different knowledge units.

The course is geared toward instructing you PySpark, Spark SQL in Python and the Databricks Lakehouse Structure.

You’ll primarily be utilizing Databricks on Microsoft Azure along with different providers comparable to Azure Knowledge Lake Storage Gen 2.

The course will cowl a wide range of areas together with:

  • Set Up and Overview
  • Azure Databricks Notebooks
  • Spark SQL
  • Studying and Writing Knowledge
  • Knowledge Evaluation and Transformation with Spark SQL in Python
  • Charts and Dashboards in Databricks Notebooks
  • Databricks Medallion Structure
  • Accessing Knowledge in Cloud Object Storage
  • Hive Metastore
  • Databases, Tables and Views in Databricks
  • Delta Lake / Databricks Lakehouse Structure

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