Doug Bateman

In this session, we will cover best practices for analysts, data scientists, and SQL developers exploring Databricks SQL Analytics as a solution for their companies. This guided technical tour of the product walks through:

• Creating and working with queries, dashboards, query refresh and alerts
• Constructing queries for semi-structured data, such as json, structs, and arrays
• Navigating the improved Spark SQL Documentation to find and leverage powerful built-in functions to solve common problems
• Creating connections to 3rd party BI and database tools (PowerBI, Tableau, dbVisualizer etc.)

[daisna21-sessions-od]

This course covers the new features and changes introduced to Apache Spark and the surrounding ecosystem during the past 12 months. It focuses on Spark 2.4 and3.0, updates to performance, monitoring, usability, stability, extensibility, PySpark, SparkR, Delta Lakes, Pandas, and MLFlow. Students will also learn about backwards compatibility with 2.x and the considerations required for updating to Spark 3.0. This course is follow along, no hands on exercises. Requirements - Familiarity with Apache Spark 2.x

This course covers the new features and changes introduced to Apache Spark and the surrounding ecosystem during the past 12 months. It focuses on Spark 2.4 and3.0, updates to performance, monitoring, usability, stability, extensibility, PySpark, SparkR, Delta Lakes, Pandas, and MLFlow. Students will also learn about backwards compatibility with 2.x and the considerations required for updating to Spark 3.0. This course is follow along, no hands on exercises. Requirements - Familiarity with Apache Spark 2.x