Data Analysis using Spark SQL and Databricks SQL
Deep-dive into Spark SQL and Databricks SQL to understand how it can be used to build Data Engineering Pipelines.
7 hours Time
- Multi-Node Cluster Access
- Reference Materials
- Practice Tasks & Exercises
- Expert Live Sessions
- Study Groups
- Guided Support
- No technical prerequisites are required, however, programming knowledge is highly desired
- Decent configuration Computer with a quality internet connection (At least 4 GB RAM and Dual Core, 8 GB RAM and Quad Core is highly desired)
About this course
Data Analysis or Processing using Spark SQL and Databricks SQL tutorials provide deep understanding of how Spark SQL and Databricks SQL can be used to build Data Engineering Pipelines. Spark with SQL will provide us the ability to leverage distributed computing capabilities of Spark coupled with easy-to-use developer friendly SQL - style syntax.
What you’ll learn in this Course
Transformations using Spark
Tables - Basic DDL
and DML in Spark SQL
Tables - DML and
Create Partitioned Tables using Spark SQL
of Spark SQL Functions to manipulate strings, dates, null values,
Functions using Spark SQL for ranking, advanced aggregations, etc.
Founder and Chief Instructor, ITVersity, Inc.
Technology Adviser and Evangelist with 20+ years of IT experience in executing complex projects using a vast array of technologies including Big Data and Cloud