Data Analysis with Databricks

PLEASE NOTE: THIS VERSION OF DATA ANALYSIS WITH DATABRICKS WAS RELEASED IN AUGUST 2024 AND IS THE LATEST VERSION OF THE DATA ANALYSIS WITH DATABRICKS COURSE.

Welcome to Data Analysis with Databricks!

This content provides a comprehensive introduction to Databricks SQL. It is designed with the intention of supporting individuals seeking the Associate Data Analysis of Databricks SQL certification. Participants will learn about ingesting data, writing queries, producing visualizations and dashboards, and how to connect Databricks SQL to additional tools by using Partner Connect.

Skill Level

Associate

Duration

Prerequisites

At a minimum, you should be familiar with the following before attempting to take this content:

General SQL fundamentals (e.g. write basic SELECT from statements)

Courses you should consider taking before taking this content include:

Databricks Lakehouse Fundamentals

Self-Paced

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Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Upcoming Public Classes

Data Engineer

Deploy Workloads with Databricks Workflows

By scheduling tasks with Databricks Jobs, applications can be run automatically to keep tables in the Lakehouse fresh. Using Databricks SQL to schedule updates to queries and dashboards allows quick insights using the newest data. In this course, students will be introduced to task orchestration using the Databricks Workflow Jobs UI. Optionally, they will configure and schedule dashboards and alerts to reflect updates to production data pipelines.

In this course, you’ll learn how to orchestrate data pipelines with Databricks Workflow Jobs and schedule dashboard updates to keep analytics up-to-date. We’ll cover topics like getting started with Databricks Workflows, how to use Databricks SQL for on-demand queries, and how to configure and schedule dashboards and alerts to reflect updates to production data pipelines.

Note: This course is part of the 'Data Engineering with Databricks' course series.

Free

Associate

Machine Learning Practitioner

Machine Learning Operations

This course will guide participants through a comprehensive exploration of machine learning model operations, focusing on MLOps and model lifecycle management. The initial segment covers essential MLOps components and best practices, providing participants with a strong foundation for effectively operationalizing machine learning models. In the latter part of the course, we will delve into the basics of the model lifecycle, demonstrating how to navigate it seamlessly using the Model Registry in conjunction with the Unity Catalog for efficient model management. By the course's conclusion, participants will have gained practical insights and a well-rounded understanding of MLOps principles, equipped with the skills needed to navigate the intricate landscape of machine learning model operations.

Free

Associate

Data Engineer

Databricks Streaming and Delta Live Tables

This course provides a comprehensive understanding of Spark Structured Streaming and Delta Lake, including computation models, configuration for streaming read, and maintaining data quality in a streaming environment.

Note: This course is part of the 'Advanced Data Engineering with Databricks' course series.

Free

Professional

Career Workshop/

March 20

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Questions?

If you have any questions, please refer to our Frequently Asked Questions page.

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