Skip to main content

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.


Languages Available: English | 日本語 | Português BR | 한국어

Skill Level
Professional
Duration
4h
Prerequisites

The content was developed for participants with these skills/knowledge/abilities:  

  • Ability to perform basic code development tasks using the Databricks Data Engineering and Data Science workspace (create clusters, run code in notebooks, use basic notebook operations, import repos from git, etc.)
  • Intermediate programming experience with PySpark
  • Extract data from a variety of file formats and data sources
  • Apply a number of common transformations to clean data
  • Reshape and manipulate complex data using advanced built-in functions
  • Intermediate programming experience with Delta Lake (create tables, perform complete and incremental updates, compact files, restore previous versions, etc.)
  • Beginner experience configuring and scheduling data pipelines using the Delta Live Tables (DLT) UI 
  • Beginner experience defining Delta Live Tables pipelines using PySpark
  • Ingest and process data using Auto Loader and PySpark syntax
  • Process Change Data Capture feeds with APPLY CHANGES INTO syntax
  • Review pipeline event logs and results to troubleshoot DLT syntax

Outline

Introduction to Streaming

* Streaming Data Concepts

* Introduction to Structured Streaming

* Reading from a Streaming Query

* Streaming from Delta Lake

* Streaming Query Lab


Aggregations, Time Windows, Watermarks

* Aggregations, Time Windows, Watermarks

* Event Time + Aggregatios over Time Windows

* Stream Aggregation Lab

* Windowed Aggregation with Watermark


Streaming ETL Patterns with DLT

* Data Ingestion Patterns

* Auto Load to Bronze

* Stream from Multiplex Bronze

* Quality Enforcement Patterns

* Quality Enforcement

* Streaming ETL Lab

Upcoming Public Classes

Date
Time
Language
Price
Jun 02
09 AM - 01 PM (Europe/London)
English
$750.00
Jun 03
09 AM - 01 PM (Asia/Kolkata)
English
$750.00
Jun 06
09 AM - 01 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.

See all our registration options

Registration options

Databricks has a delivery method for wherever you are on your learning journey

Runtime

Self-Paced

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

Register now

Instructors

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

Register now

Learning

Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

Purchase now

Scale

Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Questions?

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