Introducing .NET for Apache Spark
Distributed Processing for Massive Datasets
|Price||$40.99 - $49.99
|Format||Paper book / ebook (PDF)|
Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets. You will learn how to combine your knowledge of .NET with Apache Spark to bring massive computing power to bear by distributed processing of extremely large datasets across multiple servers.
This book covers how to get a local instance of Apache Spark running on your developer machine and shows you how to create your first .NET program that uses the Microsoft .NET bindings for Apache Spark. Techniques shown in the book allow you to use Apache Spark to distribute your data processing tasks over multiple compute nodes. You will learn to process data using both batch mode and streaming mode so you can make the right choice depending on whether you are processing an existing dataset or are working against new records in micro-batches as they arrive. The goal of the book is leave you comfortable in bringing the power of Apache Spark to your favorite .NET language.
by Mike Frampton
Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations.This book aims to take your limited knowledge of Spark to th...
Price: $35.25 | Publisher: Packt Publishing | Release: 2015
by Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei
Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own da...
Price: $49.99 | Publisher: Packt Publishing | Release: 2018
by Holden Karau, Rachel Warren
Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle la...
Price: $27.31 | Publisher: O'Reilly Media | Release: 2017
by Hien Luu
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.Along the way, you'll discover res...
Price: $25.33 | Publisher: Apress | Release: 2018
by Mark Needham, Amy Hodler
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-wo...
Price: $44.53 | Publisher: O'Reilly Media | Release: 2019
by Rich Bowen, Ken Coar
There's plenty of documentation on installing and configuring the Apache web server, but where do you find help for the day-to-day stuff, like adding common modules or fine-tuning your activity logging? That's easy. The new edition of the Apache Cookbook offers you updated solutions to the problems you're likely to encounter with the new ...
Price: $4.79 | Publisher: O'Reilly Media | Release: 2007
by Jeffrey Aven
Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark's amazing s...
Price: $32.51 | Publisher: SAMS Publishing | Release: 2016
by Subhashini Chellappan, Dharanitharan Ganesan
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also ...
Price: $31.66 | Publisher: Apress | Release: 2018