Using Databricks to Democratize Big Data and Machine Learning at McGraw-Hill Education
This is a guest post from Matt Hogan, Sr. Director of Engineering, Analytics and Reporting at McGraw-Hill Education. McGraw-Hill Education is a 129-year-old...
Databricks is excited to announce the launch of Databricks Academy self-paced training offerings. Now you can master the Databricks Unified Analytics Platform, powered by Apache Spark™, anytime and anywhere.
About Databricks Academy Self-Paced Training
Databricks self-paced training allows Data Analysts, Data Scientists, and Data Engineers to gain mastery of the Databricks Unified Analytics Platform with in-depth, interactive, self-paced courses. Learn in either a linear fashion by taking all the course lessons together in a single day, or dive into specific topics as you need them for just-in-time learning.
Learn Apache Spark within the Databricks Unified Analytics Platform
What’s unique about the Databricks Academy self-paced courses is that zero setup is required and there is no need to deploy Apache Spark, spin up virtual machines, or log into training environments. Instead, the course content is delivered within instructional cells in Databricks notebooks, allowing you to read, watch, do and then review what you learned all within notebook cells.
Each self-paced course contains lessons with demos and hands-on exercises. Exercises are run within the Databricks Unified Analytics Platform, and provide immediate feedback to check your work. At the end of each course, complete a capstone project to apply what you learn in real-world scenarios.
“Self-paced training definitely has a measurable impact on the success of Databricks users,” says Ali Ghodsi, Co-founder and Chief Executive Officer at Databricks. “Databricks Academy self-paced training is super simple, can be taken at your own pace, and saves you many hours of work down the line. It also demonstrates Unified Analytics in a powerful way, so the user can combine Data Engineering with Data Science in one platform.”
Start Learning
Databricks Academy provides courses developed by industry experts. The three self-paced courses are just the beginning of an all-you-can-eat eLearning library, which will be available as an annual subscription later this year. With new courses added every quarter, you learn about the topics you care about most, on your own time and at your own pace.
Courses Now Available
- Getting Started with Apache Spark™ SQL
- Getting Started with Apache Spark™ DataFrames
- ETL Part 1 - Data Extraction
Start learning now. For a short time, self-paced courses are available at no charge on the Databricks self-paced training website.
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