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.
About this Course
Familiarity with SQL
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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TOP REVIEWS FROM APACHE SPARK (TM) SQL FOR DATA ANALYSTS
Course is good but lot of cleanup and errors need to be fixed. Final exam it self has incorrect questions. Also someone should be answering the questions raised by students in the forum.
Many of the videos (all that introduced the notebooks) were not necessary and I stopped watching them. The course introduced me to some spark sql functions that I was unaware of.
Nice work but the exam is not real test to the materials , and it is not difficult but I would say strange and difficult to read
Riddled with spelling AND CODE errors, but was a great resource for improving my lacking SQL skills.
About the Data Science with Databricks for Data Analysts Specialization
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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