Databricks Specialist Sessions

Governance with Unity Catalog (1/1)

Speaker: Michael O’Kane
Level: Advanced
Specialism: Security/Governance

This webinar takes a close look at Unity Catalog and is hosted by a specialist architect from Databricks. In this session, you will learn how the feature works, best practices for implementation utilized by our largest customers, and common avoidable issues to set up your team for long-term success. Attendees will be able to explain how Unity Catalog is structured conceptually and implement Unity Catalog while adhering to best practices.

Delta Lake – the foundation of the modern data lakehouse
Duration: 2 hours

Speaker: Omar Hamdan

Level: Advanced

Specialism: Data engineering

This session will take a deep technical dive into Delta Lake, including architecture, key features, data ingestion, and Delta Lake as an open ecosystem that enables the lakehouse. Participants will gain detailed insights into how Delta Lake has become the foundation of modern lakehouse architecture.

Governance with Unity Catalog 2/2
Duration: 1.30 hours
Speaker: Michael O’Kane
Level: Advanced
Specialism: Security/Governance

This webinar will take a close look at Unity Catalog, it will be the 2nd part of January's session.

In this session, you will learn how the feature works, best practices for implementation utilised by our largest customers, and common avoidable issues to set up your team for long-term success. Attendees will be able to explain how Unity Catalog is structured conceptually and implement Unity Catalog while adhering to best practices.

Geospatial data processing with Databricks
Duration: 2 hours
Speaker: Erni Durdevic
Level: Advanced
Specialism: Data engineering

Comprising an introduction to geospatial data processing with Databricks, this webinar will span concepts such as geospatial data formats, projections and CRS, grid indexing systems, geospatial libraries and reference data architecture for geo-analytics.

Streaming Best Practice

Duration: 2 hours
Speaker: Shasidhar Eranti (Presenter)

Level: Advanced
Specialism: Data engineering

Covering a host of advanced streaming topics, this session focuses on the various components of a streaming job, different types of streams, common pitfalls when developing structured streaming jobs, as well as exploring areas to optimize and how to increase streaming efficiency.

Skill Level

Onboarding

Duration

1h 30m

Prerequisites

Self-Paced

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

See all our registration options

Registration options

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

Self-Paced

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

Instructor-Led

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

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

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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

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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