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Business Intelligence with Databricks SQL. Concepts, tools, and techniques for scaling business intelligence on the data lakehouse

Język publikacji: 1
Autor:
Vihag Gupta
Business Intelligence with Databricks SQL. Concepts, tools, and techniques for scaling business intelligence on the data lakehouse Vihag Gupta - okladka książki

Business Intelligence with Databricks SQL. Concepts, tools, and techniques for scaling business intelligence on the data lakehouse Vihag Gupta - okladka książki

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
348
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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.
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O autorze książki

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.

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