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Modern Data Warehousing with Azure Databricks

Join our Azure Databricks course to learn data ingestion, preparation, cleaning, and loading from diverse sources. Perfect for dealing with structured/unstructured, on-prem/cloud, and big data.

Modern Data Warehousing with Azure Databricks
  • Course Info
  • Instructor
  • System Requirements
  • What to know beforehand

Course Description

The modern data warehouse is capable of ingesting data from various data sources like structured or unstructured data, on-prem data or data in the cloud, and this includes big data. A critical element to making the modern data warehouse applicable is Azure Databricks. Azure Databricks is a managed service built on the backbone of Apache Spark and is capable of not only ingesting data but also preparing and cleaning that data and then loading it. Once the data has been prepared, Databricks can leverage thousands of libraries in Python or R to run predictive analytics and machine learning algorithms. The Modern Data Warehousing with Azure Databricks course is designed to teach the fundamentals of creating clusters, developing in notebooks, and leveraging the different languages available. Specifically, this course is designed to show how and why Azure Databricks fits perfectly into the design of the “modern” data warehouse. Within a single Databricks notebook you can use multiple programming languages and install thousands of libraries extending the capability of what can be achieved.

Course Outline ( Free Preview)

Modern Data Warehousing with Azure Databricks - What you need to get started

Module 00 - Class Introduction 2 min.

Module 01A - Introduction (Provisioning A Cluster)

Module 01B - Introduction (Use Cases)

Module 01C - Introduction (Databricks Components Overview) 20 min.

Module 01D - Introduction (Databricks Components Demo) 39 min.

Module 01E - Introduction (Databricks Structure) 20 min.

Module 01F - Introduction (Importing Data) 40 min.

Module 02A - Notebooks (Markdown) 42 min.

Module 02B - Notebooks (Code Blocks) 24 min.

Module 02C - Notebooks (Visualizations) 30 min.

Module 02D - Notebooks (Keyboard Shortcuts) 14 min.

Module 02E - Notebooks (Dashboards) 16 min.

Module 03A - Languages and Libraries (Supported Languages) 16 min.

Module 03B - Languages and Libraries (Library Modes) 6 min.

Module 03C - Languages and Libraries (Loading Libraries) 22 min.

Module 03D - Languages and Libraries (Notebook Scoped Libraries) 14 min.

Module 03E - Languages and Libraries (Importing Notebooks) 11 min.

Module 03F - Languages and Libraries (Library Advice) 5 min.

Module 04A - Scheduling Jobs (Scheduling Jobs From Notebooks) 16 min.

Module 04B - Scheduling Jobs (Scheduling Jobs Outside Notebooks) 10 min.

Module 04C - Scheduling Jobs (Running Notebooks From ADF) 12 min.

Module 04D - Scheduling Jobs (Rest APIs) 21 min.

Module 04E - Scheduling Jobs (Powershell) 14 min.

Module 04F - Scheduling Jobs (Power BI) 9 min.

Module 05A - Administration (Admin Console) 26 min.

Module 05B - Administration (Table Access Control) 20 min.

Module 05C - Administration (Additional Features) 5 min.

This course includes:

  • 9+ hours of training
  • 28 Modules
  • * Access on mobile and browser
  • Certificate of Completion