In the SparkSQL course, you'll learn to leverage the capabilities of SparkSQL for data analysis. You'll explore advanced techniques for querying and manipulating large datasets, gain practical experience in data analysis, and become proficient in using Spark for big data processing.

Becoming skilled in SparkSQL is a significant step in mastering big data analytics and data engineering.

Who will benefit:
The SparkSQL course is designed to equip individuals with the skills to work with Apache Spark and perform advanced data analysis using SparkSQL. This course provides you with the knowledge to process large datasets, perform complex queries, and gain insights from your data.
This course is ideal for:

• Data analysts, data scientists, and data engineers
• Professionals working with big data and Apache Spark
• Anyone seeking to harness the power of Spark for data analysis

Why we highly recommend this course:
We highly recommend the SparkSQL course to individuals looking to master big data analysis, data engineering, and data science using Apache Spark and SparkSQL. Proficiency in SparkSQL is a valuable asset in today's data-driven job market.

• Advanced Data Analysis: Learn to perform advanced data analysis using SparkSQL, making you proficient in extracting insights from large datasets.
• Big Data Processing: Gain hands-on experience in using Apache Spark for big data processing, a critical skill in the world of data engineering.
• Real-World Applications: The skills you acquire are immediately applicable in data analysis, data science, and data engineering roles.
• Career Advancement: Proficiency in SparkSQL is in high demand and can lead to rewarding career opportunities in big data and data analysis.

Duration:
Online: 18 Hours
Project: 8 Weeks

Prerequisite:
Successful completion of the Azure Databricks course or equivalent and good knowledge of SQL is recommended.

Tools and technologies you will work with:

• Azure Databricks
• Azure Storage Account
• Spark variant of SQL