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Learning Spark SQL. Architect streaming analytics and machine learning solutions

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Learning Spark SQL. Architect streaming analytics and machine learning solutions Aurobindo Sarkar - okladka książki

Learning Spark SQL. Architect streaming analytics and machine learning solutions Aurobindo Sarkar - okladka książki

Learning Spark SQL. Architect streaming analytics and machine learning solutions Aurobindo Sarkar - audiobook MP3

Learning Spark SQL. Architect streaming analytics and machine learning solutions Aurobindo Sarkar - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
452
Dostępne formaty:
     PDF
     ePub
     Mobi
In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems.
This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL.
It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project.

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O autorze książki

Aurobindo Sarkar is currently the country head (India Engineering Center) for ZineOne Inc. With a career spanning over 25 years, he has consulted at some of the leading organizations in India, the US, the UK, and Canada. He specializes in real-time architectures, machine learning, cloud engineering, and big data analytics. Aurobindo has been actively working as a CTO in technology startups for over 8 years now. He also teaches machine learning courses at business schools and corporates.

Packt Publishing - inne książki

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