SQL Programming and Procedural Logic

This course covers both the foundational SQL logic and advanced procedural logic in Databricks. Students will learn to leverage SQL constructs such as CTEs, temporary views, and user-defined functions, along with dynamic SQL and parameterized queries to enhance security and efficiency. The course also delves into procedural logic, where students will explore how to replicate traditional stored procedures using Lakeflow Jobs (Workflows), manage task dependencies, and automate workflows. Additionally, students will discover strategies for migrating legacy stored procedures to Databricks.

Skill Level

Associate

Duration

Prerequisites

Platform Proficiencies

⇾ SQL Workspaces and Warehouses

⇾ Notebooks (SQL, Python, markdown)
⇾ Lakehouse (inc. Delta Lake)
⇾ Unity Catalog
⇾ Workflows

Real-World Experience
⇾ Querying and analyzing data sets using SQL
⇾ Relational databases
⇾ Stored procedures in any SQL-based platform
⇾ Data migration or data modernization projects
⇾ Dynamic or parameterized queries

Broader Domain Knowledge
⇾ Core DWH concepts (ETL, schemas, data modeling)
⇾ SQL standards (ANSI SQL, SQL:2016 or later)
⇾ Data pipelines and orchestration workflows
⇾ BI and reporting concepts
⇾ Data governance and compliance principles

Outline

SQL Constructs in Databricks

- Common Table Expressions (CTEs)

- Temporary Views

- SQL User Defined Functions (UDFs)

- EXECUTE IMMEDIATE

- Parameterized SQL

- SQL Constructs

SQL Scripting in Databricks

- Compound Statements

- Variables

- Conditional Logic

- Control Flow with Looping Constructs

- Error and Exception Handling

- SQL Scripting

Procedural Logic in Databricks

- Introduction to Lakeflow Jobs

- Lakeflow Jobs

- Stored Procedure Migration Strategies

Self-Paced

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

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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 Architect

Data Modeling Strategies

This course offers a deep dive into designing data models within the Databricks Lakehouse environment, and understanding the data products lifecycle. Participants will learn to align business requirements with data organization and model design leveraging Delta Lake and Unity Catalog for defining data architectures, and techniques for data integration and sharing.

Languages Available: English | 日本語 | Português BR | 한국어

Data Warehousing with Databricks

This course is designed for data professionals who want to explore the data warehousing capabilities of Databricks. Assuming no prior knowledge of Databricks, it provides an introduction to leveraging Databricks as a modern cloud-based data warehousing solution. Learners will explore how use the Databricks Data Intelligence Platform to ingest, transform, govern, and analyze data efficiently using the industry-standard TCP-DI dataset as a reference. Learners will also explore Genie, an innovative Databricks feature that simplifies data exploration through natural language queries. By the end of this course, participants will be equipped with the foundational skills to implement and optimize a data warehouse using Databricks.

Free

Associate

Data Analyst