Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.
À propos de ce cours
Familiarity with SQL
Compétences que vous acquerrez
Familiarity with SQL
Databricks is the data and AI company. Founded by the creators of Apache Spark™, Delta Lake and MLflow, organizations like Comcast, Condé Nast, Nationwide and H&M rely on Databricks’ open and unified platform to enable data engineers, scientists and analysts to collaborate and innovate faster.
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- 1 star0,87 %
Meilleurs avis pour APACHE SPARK (TM) SQL FOR DATA ANALYSTS
I really liked the course, all study materials are well documented and the overall learning process was made good. You will use Databricks notebooks in your learning journey.
Nice course. Kate Sullivan is a great teacher ! Coursera is really a high quality site.
Excellent course!! Totally hands-on with a real-life approach. I truly recommend this course for all of those who intend to sharpen the analytical skills through Spark SQL.
Good for new data analysts who recently started with Databricks and have some experience with SQL.
À propos du Spécialisation Data Science with Databricks for Data Analysts
This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.
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