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Mastering Databricks SQL Warehouse and Spark SQL

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A Comprehensive Course on Databricks SQL Warehouse and Spark SQL for Data Engineers, Data Analysts, BI Developers, etc


1. Introduction to Mastering Databricks SQL Warehouse and Spark SQL
  • 1. Introduction.html

  • 2. Setup Course Material and Environment for Databricks SQL
  • 1. Install Databricks CLI using Python 3 Pip Command
  • 2. Configure Databricks CLI using Token and Profile
  • 3. Setup Git Repository for Material and Data Sets related to Databricks SQL Course

  • 3. Getting Started with Databricks SQL
  • 1. Overview of Databricks SQL Platform - Introduction
  • 2. Run First Query using SQL Editor of Databricks SQL
  • 3. Overview of Dashboards using Databricks SQL
  • 4. Overview of Databricks SQL Data Explorer to review Metastore Database and Tables
  • 5. Use Databricks SQL Editor to develop scripts or queries
  • 6. Review Metadata of Tables using Databricks SQL Platform
  • 7. Overview of loading data into retail db tables
  • 8. Configure Databricks CLI to push data into Databricks Platform
  • 9. Copy JSON Data into DBFS using Databricks CLI
  • 10. Analyze JSON Data using Spark APIs
  • 11. Analyze Delta Table Schemas using Spark APIs
  • 12. Load Data from Spark Data Frames into Delta Tables
  • 13. Run Adhoc Queries using Databricks SQL Editor to validate data
  • 14. Overview of External Tables using Databricks SQL
  • 15. Using COPY Command to Copy Data into Delta Tables
  • 16. Manage Databricks SQL Endpoints

  • 4. Managing Databases using Databricks SQL Warehouse
  • 1. Review Databases using Databricks SQL Data Explorer
  • 2. Create Database or Schema using Databricks SQL
  • 3. Using IF NOT EXISTS while Creating Databases using Databricks SQL
  • 4. Listing or Showing Databases and Getting Metadata of Databases using Databricks
  • 5. Understand Default Location of Databricks SQL Database or Schema
  • 6. Create Database or Schema using Location in Databricks SQL Warehouse
  • 7. Drop Databases in Databricks SQL Warehouse
  • 8. Alter Database in Databricks SQL Warehouse
  • 9. Comments on Databases in Databricks SQL Warehouse

  • 5. Manage Delta Tables in Databricks SQL Warehouse
  • 1. List Databases and Save Databricks SQL Script
  • 2. Create Table using Delta Format in Databricks SQL Warehouse
  • 3. Understand Location and Using Clause to specify File Format for Databricks
  • 4. Create External Table using Delta Format in Databricks SQL Warehouse
  • 5. Drop External Table and Delete Folder in Databricks SQL Warehouse
  • 6. Overview of DML or CRUD Operations using Databricks SQL
  • 7. Insert Records into Databricks SQL Warehouse table
  • 8. Insert Multiple Records into Databricks SQL Warehouse table
  • 9. Update Existing Records in Databricks SQL Warehouse table
  • 10. Update Existing Records in Databricks SQL Warehouse table based on Null Values
  • 11. Delete Existing Records in Databricks SQL Warehouse table
  • 12. Cleanup Users Tables from Databricks SQL Warehouse Database or Schema

  • 6. Setup Data Set for Databricks SQL Views and Copy Commands
  • 1. Getting Started with Databricks fs Commands using Databricks CLI
  • 2. Create Folder in DBFS using Databricks CLI Commands
  • 3. Copy Files from Local File System into DBFS using Databricks CLI Commands
  • 4. Overwrite Files while Copying into DBFS using Databricks CLI Command
  • 5. Understand Course Catalog Data in the files uploaded to DBFS
  • 6. Options to Analyze Data using Databricks SQL Queries
  • 7. Run Select Queries using DBFS Path in From Cluase
  • 8. Run Queries using Temporary Views in Databricks SQL
  • 9. Run Queries using External Tables in Databricks SQL

  • 7. Queries to Process Values in JSON String Columns
  • 1. Queries to Process Values in JSON String Columns
  • 2. Get Distinct and Count based on Key using Course Catalog Data
  • 3. Filter Data using Basic Databricks SQL Queries using Course Catalog Data
  • 4. Exploring Functions using Databricks SQL
  • 5. Understand Record Column Values in Course Catalog Table
  • 6. Processing JSON String Values using Databricks SQL Queries
  • 7. Process Instructors JSON Records using Databricks SQL Queries
  • 8. Create View for Instructors using Databricks SQL Queries

  • 8. Copy Data into Delta Tables in Databricks SQL Warehouse
  • 1. Create Delta Table for Course Catalog Data Set
  • 2. Get File Names along with Data using Databricks SQL Queries
  • 3. Overview of Databricks SQL COPY Command
  • 4. Copy Data from single file into Delta Tables using Files
  • 5. Copy Data from multiple files into Delta Tables using Files
  • 6. Copy Data from multiple files into Delta Tables using Pattern
  • 7. Create Course Catalog Table in Databricks SQL Warehouse with additional Column
  • 8. Copy Data from Files using Queries into Delta Tables
  • 9. Validate Course Catalog Table in Bronze Layer

  • 9. Insert or Merge Query Results or View into Delta Tables using Databricks SQL
  • 1. Introduction to Insert or Merge Query Results or View into Delta Tables using D
  • 2. Create Course Catalog and Instructors Tables using Databricks SQL
  • 3. Copy Data into Course Catalog Table from JSON Files using Databricks SQL
  • 4. Insert Query Results into Delta Table using Databricks SQL
  • 5. Exercise to Create Courses Table and Insert Data
  • 6. Copy Instructors Data into Course Catalog Table from new file
  • 7. Understand the Concept of Merge or Upsert in DML or CRUD Operations
  • 8. Develop Query to Get the latest Instructors Records from Course Catalog Table
  • 9. Overview of Merge Statement Syntax using Databricks SQL
  • 10. Merge Data into Instructors Table from Course Catalog using Databricks SQL
  • 11. Exercise to merge Courses Data from Course Catalog into Courses Table

  • 10. Merge Query Results and Data from Delta Table with Delete into Delta Tables u
  • 1. Introduction to Merge Query Results and Data from Delta Table with Delete in
  • 2. Overview of Merge with Delete Real Life Scenario
  • 3. Create Users Table using Delta format for Merge with Delete
  • 4. Merge First Set of Records into Users Table.cmproj
  • 5. Perform DML Operations on Users Table in Bronze Layer
  • 6. Merge Updated Data into Users Table in Silver Layer
  • 7. Scenarios for Merge into Databricks SQL Delta Tables
  • 8. Reset Users Table to Merge Data Incrementally into the target table
  • 9. Merge Into Databricks Table using Conditions on Updated Timestamp
  • 10. Perform Operations to Insert and Update records in Bronze Users Table
  • 11. Merge Incremental Data with Delete into Silver Users Table with Condition on
  • 12. Exercise to Develop Merge Statement with Condition avoiding Column Names

  • 11. Getting Started with Basic SQL Queries using Databricks SQL
  • 1. Introduction to Getting Started with Basic SQL Queries using Databricks SQL
  • 2. Exploring Databricks Data Sets
  • 3. Create Database and Temporary Table to Preview the Data
  • 4. Understand Characteristics of Online Retail Dataset
  • 5. Create External Table with Columns and Datatypes
  • 6. Get Count of Not Null Values of all Columns using Databricks SQL
  • 7. Overview of Stack or Unpivot or Transpose of Data
  • 8. Transpose Data using Stack in Databricks SQL
  • 9. Transpose Not Null Counts into Multiple Rows using Databricks SQL
  • 10. Overview of Unique or Distinct in Databricks SQL
  • 11. Overview of Distinct to get unique records using Databricks SQL
  • 12. Exercise - Get Distinct Count of Every Column
  • 13. Create View using Query for Unique Records
  • 14. Structure of SQL Query and Overview of Clauses
  • 15. Overview of Comments in Databricks SQL Queries
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    تاریخ انتشار: ۱۰ فروردین ۱۴۰۲
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