Data Analytics with Spark Using Python by Jeffrey Aven

Dive into the world of Big Data with 'Data Analytics with Spark Using Python', a guide that covers all you need to know to leverage Spark and its ecosystem. Author Jeffrey Aven provides a language-agnostic introduction to foundational Spark concepts, combined with extensive programming examples using the popular PySpark development environment. This guide is accessible to a wide audience, even those with little Hadoop or Spark experience, and covers a broad range of topics from basic to advanced Spark programming, Spark SQL, and machine learning. Learn how to efficiently manage various forms of data with Spark, including streaming, structured, semi-structured, and unstructured data. The book offers concise topic overviews and extensive hands-on exercises to prepare you for real-world problem-solving. Topics include creating Spark clusters, controlling and optimizing their operation, mastering Spark Core RDD API programming techniques, and integrating Spark with both SQL and nonrelational data stores.

Reviews

Most Recommended Books · 2023-07-10

practical 4.50

This book is mentioned among the best Spark books and is highly recommended for its in-depth coverage and practical approach. It is a great resource for anyone looking to master Spark.

Data Analytics with Spark Using Python by Jeffrey Aven is frequently mentioned as one of the best books on Spark. It is highly recommended for its in-depth coverage and practical approach. The book is particularly useful for developers, architects, and data professionals who want to enhance their skills in data analytics using Spark. The author's expertise and the book's comprehensive coverage make it a valuable resource for anyone looking to master Spark. The practical examples and clear explanations make it easy to understand and apply the concepts discussed. It is a great addition to any data professional's library.

Quick quotes

Data Analytics with Spark Using Python by Jeffrey Aven is frequently mentioned as one of the best books on Spark.

The book is highly recommended for its in-depth coverage and practical approach.

The practical examples and clear explanations make it easy to understand and apply the concepts discussed.

Amazon · 2023-06-15

comprehensive 4.00

This guide by Big Data expert Jeffrey Aven is a must-read for those looking to leverage Spark and its ecosystem. It is praised for its comprehensive coverage and practical insights.

In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem. The book is highly recommended for its thorough coverage and practical insights. It is particularly useful for professionals who want to enhance their skills in data analytics using Spark. The author's expertise shines through, making the book a valuable resource for both beginners and experienced practitioners. The practical examples and clear explanations make it easy to understand and apply the concepts discussed.

Quick quotes

In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem.

The book is highly recommended for its thorough coverage and practical insights.

The practical examples and clear explanations make it easy to understand and apply the concepts discussed.

O'Reilly · 2023-01-01

instructive 4.50

The book provides a comprehensive guide to Spark development, covering a wide range of topics from basic programming to advanced integrations. It is highly recommended for developers and data professionals looking to leverage Spark's capabilities.

This book is a valuable resource for anyone interested in data analytics with Spark. It covers all aspects of Spark development, including basic programming, SparkSQL, SparkR, Spark Streaming, Messaging, NoSQL, and Hadoop integration. The author, Jeffrey Aven, is an expert in the field and provides clear, practical guidance throughout the book. It's particularly useful for working developers, architects, and data professionals who want to solidify their understanding of Spark 2.x. The book is well-structured and offers a wealth of information that can help professionals enhance their skills and effectively use Spark in their projects.

Quick quotes

Jeffrey Aven covers all aspects of Spark development, including basic programming to SparkSQL, SparkR, Spark Streaming, Messaging, NoSQL and Hadoop integration.

This guide is invaluable for developers, architects, and data professionals looking to leverage Spark's capabilities.

The book provides a comprehensive overview of Spark 2.x, making it a solid resource for both beginners and experienced professionals.

Appears in Lists

The 16 Best Apache Spark Books on Our Reading List for 2023