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Business Intelligence with Databricks SQL
This is the code repository for Business Intelligence with Databricks SQL, published by Packt.
Concepts, tools, and techniques for scaling business intelligence on the data lakehouse
What is this book about?
In this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark™, Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics.
This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You’ll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse – data security, governance, and management of the computational power of the lakehouse. You’ll also delve into the core technology enablers of Databricks SQL – Delta Lake and Photon. Finally, you’ll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse.
By the end of this book, you’ll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse.
This book covers the following exciting features:
- Understand how Databricks SQL fits into the Databricks Lakehouse Platform
- Perform everyday analytics with Databricks SQL Workbench and business intelligence tools
- Organize and catalog your data assets
- Program the data security model to protect and govern your data
- Tune SQL warehouses (computing clusters) for optimal query experience
- Tune the Delta Lake storage format for maximum query performance
- Deliver extreme performance with the Photon query execution engine
- Implement advanced data ingestion patterns with Databricks SQL
If you feel this book is for you, get your copy today!
Instructions and Navigations
All of the code is organized into folders.
The code will look like the following:
OPTIMIZE table_name [WHERE predicate]
[ZORDER BY (col_name1 [, ...] ) ]Following is what you need for this book: This book is for business intelligence practitioners, data warehouse administrators, and data engineers who are new to Databrick SQL and want to learn how to deliver high-quality insights unhindered by the scale of data or infrastructure. This book is also for anyone looking to study the advanced technologies that power Databricks SQL. Basic knowledge of data warehouses, SQL-based analytics, and ETL processes is recommended to effectively learn the concepts introduced in this book and appreciate the innovation behind the platform.
With the following software and hardware list you can run all code files present in the book (Chapter 1-14).
Software and Hardware List
| Chapter | Software required | OS required |
|---|---|---|
| 1-14 | Databricks SQL | Windows, Mac OS , or Linux |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
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Get to Know the Author
Vihag Gupta is a solutions architect with a specialization in cloud data platform architecture and design. He has a background in data engineering and a professional interest in machine learning. He loves getting hands-on and solving real business problems with technology. He graduated with a degree in information technology from PES University, Bengaluru, in 2011 and earned a degree in information systems management from Carnegie Mellon University, Pittsburgh, in 2016. He has worked at companies including Deloitte Consulting, DataSpark, and Qubole. He currently works at Databricks, helping clients bring their lakehouse platforms for analytics to life. Originally from Jharkhand, India, Vihag currently lives in Singapore with his wife and dog.
Download a free PDF
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Simply click on the link to claim your free PDF.