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Azure Databricks and Spark SQL (Python)

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Azure Databricks and Spark SQL (Python) Udemy Coupon

Azure Databricks and Spark SQL (Python)

Master Azure Databricks with PySpark: Your Hands-On Guide to Advanced Data Engineering and Analysis (DP203)

Created by Malvik Vaghadia | 12.5 hours on-demand video course

Azure Databricks and Spark SQL (Python) Course Review: Learn the Skills You Need to Master Big Data.

What is Azure Databricks?

Azure Databricks is a unified analytics platform that lets you build and deploy Spark applications on a fully managed cloud service. It provides an easy way to get started with Spark, without having to set up or manage infrastructure.

What is Spark SQL?

Spark SQL is a powerful tool for querying and manipulating large datasets. It provides a SQL-like interface for working with Spark DataFrames and Datasets.

What is Python?

Python is a popular programming language that is widely used in data science and machine learning. It is easy to learn and use, and it offers a wide range of libraries and tools for data analysis.

Why take this course?

This course will teach you how to use Azure Databricks and Spark SQL (Python) to master big data. You will learn how to:

  • Load and process large datasets using Spark DataFrames and Datasets.
  • Query and manipulate large datasets using Spark SQL.
  • Build and deploy Spark applications on Azure Databricks.
  • Optimize Spark applications for performance.
  • Use Python to write Spark applications.

Who should take this course?

This course is ideal for anyone who wants to learn how to use Azure Databricks and Spark SQL (Python) to master big data. This includes data scientists, machine learning engineers, and software engineers.

What will you learn in this course?

In this course, you will learn:

  • How to use Azure Databricks to create and manage clusters.
  • How to use Spark DataFrames and Datasets to load and process large datasets.
  • How to use Spark SQL to query and manipulate large datasets.
  • How to build and deploy Spark applications on Azure Databricks.
  • How to optimize Spark applications for performance.
  • How to use Python to write Spark applications.

What are the benefits of taking this course?

After completing this course, you will be able to:

  • Use Azure Databricks and Spark SQL (Python) to master big data.
  • Build and deploy Spark applications on Azure Databricks.
  • Optimize Spark applications for performance.
  • Use Python to write Spark applications.

Who is the instructor?

The instructor for this course is a data scientist with over 10 years of experience. He has worked on a variety of big data projects, and he is an expert in Azure Databricks and Spark SQL (Python).

Conclusion

If you are looking for a comprehensive course on Azure Databricks and Spark SQL (Python), then this is the course for you. You will learn everything you need to know to master big data and build and deploy Spark applications on Azure Databricks.

Recommended Course

Databricks Certified Developer for Spark 3.0 Practice Exams

Azure Databricks & Spark For Data Engineers (PySpark / SQL)

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