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Databricks Standard Onboarding Series - On Demand

Course Description:

New to Databricks? This e-learning course will help you in this journey. 


 Cluster Creation and Sizing

In this course, you will learn the basics about clusters, cost management, access control levels and governance from an experienced Customer Success Engineer (CSE), to help you get started with your projects. This course is relevant to platform admins and anyone managing clusters and/or access controls.

Topics covered:

  • Pricing and cost review – quick highlights of DBU and pricing structure

  • Governance – who can create clusters?

  • Architecting clusters – how to create the most efficient clusters

  • Cluster sizing – how large to make your clusters


 Introduction to Data Engineering with Delta Lake

In this part of the course, you will learn about the Delta Lake Open Source project, the Lakehouse architecture, and the different Delta Lake features. Users will also gain insight into big data limitations and bottlenecks and best practices around scaling out data lakes efficiently.

Topics covered:

  • Lakehouse & Delta Lake introduction

  • Delta Lake features deep dive

  • Delta Lake architecture patterns – Bronze / Silver / Gold pipeline

  • Reconciling batch and streaming

  • Demo


 Introduction to Data Science on Databricks with MLflow

In this part of the session, you will learn about the different MLflow components and how to use MLflow to track, register and serve your machine learning models.

Topics covered:

  • Introduction to MLflow

  • MLflow demo:

    • Train a single node ML model and log the results in MLflow

    • MLflow UI walkthrough

    • MLflow API


Skill Level
Onboarding
Duration
1h 30m
Prerequisites

N/A

Self-Paced

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

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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

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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

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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

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
4h
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
4h
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
4h
Professional
Career Workshop

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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