Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets b
$ 40.8
Description
Introducing .NET for Apache Spark by Ed Elliott Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Intermediate-Advanced user level Publisher Description 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. What You Will LearnInstall and configure Spark .NET on Windows, Linux, and macOS Write Apache Spark programs in C# and F# using the .NET bindingsAccess and invoke the Apache Spark APIs from .NET with the same high performance as Python, Scala, and REncapsulate functionality in user-defined functionsTransform and aggregate large datasets Execute SQL queries against files through Apache HiveDistribute processing of large datasets across multiple serversCreate your own batch, streaming, and machine learning programs Who This Book Is For .NETdevelopers who want to perform big data processing without having to migrate to Python, Scala, or R; and Apache Spark developers who want to run natively on .NET and take advantage of the C# and F# ecosystems Details ISBN 1484269918 ISBN-13 9781484269916 Title Introducing .NET for Apache Spark Author Ed Elliott Format Paperback Year 2021 Pages 262 Edition 1st Publisher APress GE_Item_ID:137939071; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Seller sent me the wrong book, but the book they sent sounded interesting enough for me to keep it. I still contacted the seller and communication was fast and professional. They apologized for sending me the wrong book and said I could return it for a refund. I told them that I liked the book they sent me and wanted to keep it. They were happy. Told them thank you and happy new year. People make mistakes, but the fact that this seller was quick and professional and apologized made a difference.
The basket is perfectly what I ordered and as listed. It came in the factory packaging and was perfect upon delivery. Thank you postal service lol. The delivery took way longer than listed though, it was listed to come in a week from purchase, but took a whole month. I had some concerns at first, but communication with the company was top notch and they were very professional and answered most of my questions satisfyingly. Just prepare for a longer wait than listed, but I got what I bought lol.
The two new out-of-print books I ordered were exactly as described and shipped promptly. I did ask the seller's support person (an AI chatbot, I think) to be sure to package the items carefully, and "he" said that he'd make that request of the shipping department. I knew this was hooey, and as I expected, the books were shipped in nothing but a padded paper mailer, no other protection. I got lucky, no damage, but don't bother making special requests of this seller.
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