SQL Analytics on Databricks
In this course, you'll learn how to effectively use Databricks for data analytics, with a specific focus on Databricks SQL. As a Databricks Data Analyst, your responsibilities will include finding relevant data, analyzing it for potential applications, and transforming it into formats that provide valuable business insights.
You will also understand your role in managing data objects and how to manipulate them within the Databricks Data Intelligence Platform, using tools such as Notebooks, the SQL Editor, and Databricks SQL.
Additionally, you will learn about the importance of Unity Catalog in managing data assets and the overall platform. Finally, the course will provide an overview of how Databricks facilitates performance optimization and teach you how to access Query Insights to understand the processes occurring behind the scenes when executing SQL analytics on Databricks.
Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.
Languages Available: English | 日本語 | Português BR | 한국어
The content was developed for participants with these skills/knowledge/abilities:
• A working knowledge of using SQL for data analysis purposes.
• Able to locate and inspect datasets using Unity Catalog and Catalog Explorer.
• Ability to execute code in notebooks in perform basic operations.
• Understanding of data structures including tables, schemas, and views; familiarity with Medallion Architecture and Delta Lake concepts.
• A basic understanding of statistical analysis.
• Understand the structure and defining characteristics of specific data formats such as CSV, JSON, TXT, and Parquet.
• Be familiar with the user interface of the Databricks Data Intelligence Platform.
Outline
1. Data Discovery
• Unity Catalog for Data Discovery and Ownership
• Demo: Data Discovery in Unity Catalog
• Lab: Use Unity Catalog to Locate and Inspect Datasets
2. Data Importing
• Ingesting Data into Databricks
• Demo: Uploading Data to Databricks Using the UI
• Demo: Programmatic Exploration and Data Ingestion to Unity Catalog
• Lab: Import Data into Databricks
3. SQL Execution
• Databricks SQL and Databricks SQL Warehouses
• Demo: The Unified SQL Editor
• Demo: Manipulate and Transform Data with Databricks SQL
• Demo: Creating Views with Databricks SQL
• Lab: Manipulate and Analyze a Table
4. Query Analysis
• Databricks Photon and Optimization in Databricks
• Demo: Query Insights
• Best Practices for SQL Analytics
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
Nov 10 | 01 PM - 05 PM (Australia/Sydney) | - | English | $750.00 |
Nov 10 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Nov 10 | 09 AM - 01 PM (America/Los_Angeles) | - | English | $750.00 |
Dec 08 | 09 AM - 01 PM (Asia/Kolkata) | - | English | $750.00 |
Dec 08 | 01 PM - 05 PM (Europe/Paris) | - | English | $750.00 |
Dec 08 | 09 AM - 01 PM (America/New_York) | - | English | $750.00 |
Jan 12 | 09 AM - 01 PM (Asia/Singapore) | - | English | $750.00 |
Jan 12 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Jan 12 | 01 PM - 05 PM (America/New_York) | - | English | $750.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
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