Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you.
The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and Data Frame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using Spark SQL, Graph X, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment.
You will also learn how to develop Spark applications using Spark R and Py Spark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio.
By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.
Md. Rezaul Karim & Sridhar Alla
Scala and Spark for Big Data Analytics [EPUB ebook]
Explore the concepts of functional programming, data streaming, and machine learning
Scala and Spark for Big Data Analytics [EPUB ebook]
Explore the concepts of functional programming, data streaming, and machine learning
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Ngôn ngữ Anh ● định dạng EPUB ● Trang 796 ● ISBN 9781783550500 ● Kích thước tập tin 87.4 MB ● Nhà xuất bản Packt Publishing ● Thành phố Brookland ● Quốc gia US ● Được phát hành 2017 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 5386348 ● Sao chép bảo vệ không có