Data Analysis with Databricks

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Data Analysis with Databricks

Data Analysis with Databricks

Course ID: DTB-DAD

Duration: 1 Day

Overview

This course provides a comprehensive introduction to Databricks SQL. Learners will ingest data, write queries, produce visualizations and dashboards, and configure alerts. This course will prepare you to take the Databricks Certified Data Analyst Associate exam.

This course consists of two four-hour modules.

SQL Analytics on Databricks

In this course, you’ll learn how to effectively use Databricks for data analytics, with a specific focus on Databricks SQL. As a Databricks Data Analyst, your responsibilities will include finding relevant data, analyzing it for potential applications, and transforming it into formats that provide valuable business insights.

You will also understand your role in managing data objects and how to manipulate them within the Databricks Data Intelligence Platform, using tools such as Notebooks, the SQL Editor, and Databricks SQL.

Additionally, you will learn about the importance of Unity Catalog in managing data assets and the overall platform. Finally, the course will provide an overview of how Databricks facilitates performance optimization and teach you how to access Query Insights to understand the processes occurring behind the scenes when executing SQL analytics on Databricks.

AI/BI for Data Analysts

In this course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a Databricks Data Analyst, you will be tasked with creating AI/BI Dashboards and AI/BI Genie Spaces within the platform, managing the access to these assets by stakeholders and necessary parties, and maintaining these assets as they are edited, refreshed, or decommissioned over the course of their lifespan. This course intends to instruct participants on how to design dashboards for business insights, share those with collaborators and stakeholders, and maintain those assets within the platform. Participants will also learn how to utilize AI/BI Genie Spaces to support self-service analytics through the creation and maintenance of these environments powered by the Databricks Data Intelligence Engine.

Private in-house training

Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.

What are the skills covered

SQL Analytics on Databricks

Data Discovery
Data Importing
SQL Execution
Query Analysis

AI/BI for Data Analysts

Dashboards and Visualizations in Databricks
AI/BI Genie

Who should attend this course

Everyone who is interested

Course Modules

Module 1: SQL Analytics on Databricks

Data Discovery

Using Unity Catalog as a Data Discovery Tool
Understanding Data Object Ownership
Use Unity Catalog to Locate and Inspect Datasets

Data Importing

Ingesting Data into Databricks

Uploading Data to Databricks Using the UI
Programmatic Exploration and Data Ingestion to Unity Catalog
Import Data into Databricks

SQL Execution

Databricks SQL and Databricks SQL Warehouses
The Unified SQL Editor
Manipulate and Transform Data with Databricks SQL
Creating Views with Databricks SQL
Manipulate and Analyze a Table

Query Analysis

Databricks Photon and Optimization in Databricks
Query Insights
Best Practices for SQL Analytics

Module 2: AI/BI for Data Analysts

Dashboards and Visualizations in Databricks

AI/BI Dashboards
Just enough SQL
Designing Datasets for Dashboards
Creating Visualizations and adding Summary Statistics to Dashboards
AI Enhanced Features
Filters
Sharing Dashboards with Stakeholders and Others
Managing Dashboards in Production
Dashboard and Visualization Lab Activity

AI/BI Genie

AI/BI Genie
Developing Genie Spaces
Sharing Genie Spaces
AI/BI Genie Development Activity Lab

Prerequisites

A working knowledge of using SQL for data analysis purposes.
Be familiar with how data is created, stored, and managed.
A basic understanding of the purpose and use of statistical analysis results
Understand the structure and defining characteristics of specific data formats such as CSV, JSON, TXT, and Parquet.
Be familiar with the user interface of the Databricks Data Intelligence Platform.
Prior experience or basic familiarity with the Databricks Workspace UI.
Familiarity with the concepts around dashboards used for business intelligence.

Data Analysis with Databricks