This hands-on self-paced training course targets Analysts and Data Scientists getting started using Databricks to analyze big data with Apache Spark™ SQL. The course ends with a capstone project demonstrating Exploratory Data Analysis with Spark SQL on Databricks.
Use the interactive Databricks notebook environment
Examine external data sets
Query existing data sets using Spark SQL
Visualize query results and data using the built-in Databricks visualization features
Perform exploratory data analysis using Spark SQL
Who Can Benefit
Primary Audience: Data Analysts
Secondary Audiences: Data Scientists and Engineers
Knowledge of SQL — required.
Getting Started and Accessing the Course
Querying Files with SQL
Aggregations, JOINs and Nested Queries
Uploading and Accessing Data
Querying JSON & Hierarchical Data with SQL
Querying Data Lakes with SQL
Capstone Project: Exploratory Data Analysis
Supported platforms include Azure Databricks, Databricks Community Edition, and non-Azure Databricks.
If you're planning to use the course on Azure Databricks, select the "Azure Databricks" Platform option.
If you're planning to use the course on Databricks Community Edition or on a non-Azure version of Databricks, select the "Other Databricks" Platform option.
The course is a series of six self-paced lessons plus a final capstone project performing Exploratory Data Analysis using Spark SQL on Databricks. Each lesson includes hands-on exercises.
https://www.exitcertified.com/training/databricks/apache-spark-sql-56300-detail.htmlSPARK-SQL-SELFGetting Started with Apache Spark SQLhttps://assets.exitcertified.com/assets/CourseImages/bb54a7c55f/AdobeStock_234232929__FitMaxWzEwMDAsMTAwMF0.jpg75.00USDInStock/Training/DatabricksThis hands-on self-paced training course targets Analysts and Data Scientists getting started using Databricks to analyze big...75.00DatabricksSelf Paced2019-03-21T08:32:14+00:00USD