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Introduction to Databricks SQL

IntermediarNivel de calificare
Actualizat 05.2026
Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.
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DatabricksData Engineering3 oră16 videos46 exercises3,600 XP5,972Declarație de realizare

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Descrierea cursului

Every organization has a need for a data warehousing capability to run critical business intelligence analyses. Over the years, there have been many different tools to satisfy these needs, but often were separate technology stacks that struggled to keep up with modern data needs and scale.Databricks is a powerful Data Intelligence Platform that can satisfy many of an organization's analytical needs. By leveraging Databricks SQL, an organization can utilize a hyper scalable and performant data warehouse solution directly in the lakehouse architecture.In this course, you will be introduced to the key components and workflows within Databricks SQL.First, you will learn how to use Databricks SQL to perform different data engineering tasks and moving your data through the medallion architecture to serve data teams. You will earn the common techniques many data engineers use, how to choose between different data storage techniques, and how to keep your data up to date.Next, you will learn how to analyze your data in Databricks SQL like many data analysts do in the industry. You will learn the common functions and techniques using ANSI based SQL, and will then create in-platform visualizations and dashboards to better tell a story about your data.Finally, you will learn some more advanced techniques that leverage the key differentiators of the Databricks platform. You will learn how to handle high-velocity and fast changing data using window functions, and will be able to merge datasets together as they come in.

Cerințe preliminare

Intermediate SQLIntroduction to Databricks
1

Data Warehousing in Databricks

Build a strong data warehousing foundation with the Databricks Data Intelligence Platform! You will learn how Databricks and the lakehouse architecture set your organization up for a modern SQL and BI stack. You will also explore the key components of the Databricks SQL product, ranging from data storage techniques to compute optimizations.
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2

Data engineering with Databricks SQL

Build a strong data foundation for the lakehouse architecture! You will learn how to ingest, transform, and model your data using the capabilities in Databricks SQL. You will explore GUI-based and programmatic approaches to building out the medallion architecture, and creating a data ecosystem ready for any analytics workload.
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3

Data analysis with Databricks SQL

Create powerful data insights using Databricks SQL! You will learn how to write queries, create visualizations, and power dashboards using in-platform Databricks capabilities. You will practice leveraging SQL code, filters, and parameters to create a robust analytical application for your end users.
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4

Advanced patterns with Databricks SQL

In the final chapter, you will learn some more advanced techniques that leverage the key differentiators of the Databricks platform. You will learn how to handle high-velocity and fast-changing data using window functions, and will be able to merge datasets as they come in.
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Introduction to Databricks SQL
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