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Introduction to Databricks: The Unified Analytics Platform

4 Scenarios
1 Hour 25 Minutes
Beginner
masterclass poster
Industry
general
e-commerce
Skills
approach
data-understanding
data-storage
data-wrangling
batch-etl
cloud-management
Tools
databricks
spark

Learning Objectives

Understand the concept of Databricks as a Unified Analytics Platform.
Understand the process of creating a Databricks workspace.
Understand the types of Databricks clusters.
Explore the usage of Databricks notebooks for interactive development

Overview

Data teams face challenges in data integration, management, and analysis due to multiple tools, leading to inefficiencies and collaboration barriers.

Databricks addresses this by offering a Unified Analytics Platform that combines data lake and warehouse capabilities, supporting seamless collaboration among data engineers, scientists, and BI professionals.

In this module, you'll:

  • Learn to set up a Databricks workspace, covering essential configurations like subscriptions and resource groups.

  • Explore cluster configuration, including choosing the right cluster type for different workloads, and effective use of notebooks for collaborative development and testing across data teams.

Prerequisites

  • Basic understanding of PySpark
  • Basic understanding of Azure cloud platform
  • Familiarity with the Databricks User Interface
  • Basic idea of Data stores such as Data Lake & Data Warehouse