logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Spark: The Definitive Guide: Big Data Processing Made Simple by Bill Chambers, Matei Zaharia ISBN 9781491912218, 1491912219

  • SKU: EBN-7010736
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.6

29 reviews
Instant download (eBook) Spark: The Definitive Guide: Big Data Processing Made Simple after payment.
Authors:Bill Chambers, Matei Zaharia
Pages:606 pages.
Year:2018
Editon:1
Publisher:O’Reilly Media
Language:english
File Size:7.88 MB
Format:pdf
ISBNS:9781491912218, 1491912219
Categories: Ebooks

Product desciption

(Ebook) Spark: The Definitive Guide: Big Data Processing Made Simple by Bill Chambers, Matei Zaharia ISBN 9781491912218, 1491912219

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library.Get a gentle overview of big data and SparkLearn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examplesDive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFramesUnderstand how Spark runs on a clusterDebug, monitor, and tune Spark clusters and applicationsLearn the power of Structured Streaming, Spark’s stream-processing engineLearn how you can apply MLlib to a variety of problems, including classification or recommendation
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products