What you’ll learn
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Setup Databricks SQL Warehouse Environment using Azure Databricks for hands-on Practice
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Getting Started with Databricks SQL for Data Analysis or Data Engineering
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Features of Databricks SQL Warehouse – Clusters, Query Editor, Visualizations and Dashboards, etc
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Overview of building reports and dashboards using Databricks SQL
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Creating Databases and Tables using Databricks SQL or Spark SQL
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Writing Basic Queries using Databricks SQL or Spark SQL
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DML to load data into Databricks SQL or Spark SQL Tables
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Advanced Operations such as Ranking and Aggregations using Databricks SQL or Spark SQL
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Processing Semi-Structured Data using Databricks SQL or Spark SQL
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In-depth Coverage about Delta Tables including all possible DML Operations such as Insert, Update, Delete, Merge, etc
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End to End Life Cycle of Data Analysis of Data in Files using Databricks (Uploading File to Databricks to Reports and Dashboards)
Who this course is for:
- Data Analysts and BI Developers who want to understand Databricks SQL or Spark SQL Queries to analyze the data
- Data Engineers who would like to understand Databricks SQL
- QA Analysts or Engineers who would like to understand Databricks SQL for the validation of the data
- Business Analysts to analyze the Data in the Data Lake using Databricks SQL or Spark SQL Queries
- BI Developers who want to understand how to connect BI Tools to Databricks SQL Endpoint and develop required reports and dashboards
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