SKU: 81424127495

Apache Spark 2.x for Java Developers

Sale price$1660.10 Regular price$1844.55
Save 10%

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 10 - Jul 15

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Apache Spark 2.x for Java DevelopersApache Spark is the buzzword in the big data industry right now, especially with the increasing need for real time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone."font family: verdana,

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone."font-family: verdana, arial, helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255);"The book starts with an introduction to the Apache Spark 2.x ecosystem, followed explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages."font-family: verdana, arial, helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255);" the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications. style"color: rgb(51, 51, 51); font-family: verdana, arial, helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255);"What you will learn
Process data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library.
Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library
Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library
Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems
Get to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark
style"color: rgb(51, 51, 51); font-family: verdana, arial, helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255);"About the Author"font-family: verdana, arial, helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255);"Sourav Gulati is associated with software industry for more than 7 years. He started his career with Unix/Linux and Java and then moved towards big data and NoSQL World. He has worked on various big data projects. He has recently started a technical blog called Technical Learning as well. Apart from IT world, he loves to read about mythology.Sumit Kumar is a developer with industry insights in telecom and banking. At different junctures, he has worked as a Java and SQL developer, but it is shell scripting that he finds both challenging and satisfying at the same time. Currently, he delivers big data projects focused on batch/near-real-time analytics and the distributed indexed querying system. Besides IT, he takes a keen interest in human and ecological issues.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 81424127495

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.5 ★★★★★
Based on 865 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
T
Verified Purchase
Tom Armstrong
Boise, US
★★★★★ 4
Not as Firm as I had hoped
Size: Queen - Pack of 2, Style: Medium, Configuration: Pillow
A good pillow. However, there is quite a difference between the manufacturer's and my idea of "medium firmness". I found this pillow much softer than I had anticipated. I'll have to go for firmer for my next purchase.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 28, 2025
C
Verified Purchase
Computerized Nurse
San Leandro, US
★★★★★ 5
I admit when I was wrong.
Size: Queen - Pack of 2, Style: Medium, Configuration: Pillow
3/29/26 - I took the pillows and put them in my dryer on steam refresh for the default 10 minute cycle. OMG - they fluffed up and evened out to be soft and comfortable, no lumps whatsoever. If you like a soft pillow with some support, but not firm support, THIS is what you want. I am truly amazed. ================================================== Previous review---They arrived in a vacuum seal bag. When you cut the bag and they inflate, they inflate lumpy like. Some areas are thick and some have to fill so, not very good. I am going to try washing them and drying them to see if they fluff up better. Will post the results in a day or two.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 24, 2026
K
Verified Purchase
K
Lake Worth, US
★★★★★ 3
Immediate neck and back pain
Size: Queen - Pack of 2, Style: Medium, Configuration: Pillow
Nice full pillows that holds its shape, BUT was NOT good head and neck support. I noticed an immediate difference. From non existent to growing neck pain in the first night’s use, through the week.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 30, 2026
G
Verified Purchase
Geydis Amador
Port Orchard, US
★★★★★ 5
Soft and comfortable
Size: Queen - Pack of 2, Style: Medium, Configuration: Pillow
These pillows are incredibly soft and comfortable. They provide great support while still feeling plush and cozy. I’ve been sleeping much better since I started using them.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 2, 2026
S
Verified Purchase
Sheila Sullivan
Belleville, US
★★★★★ 5
Great pillows
Size: King - 20"*34" (pack of 2), Color: Grey
Very luxurious and comfortable! Exactly as described and priced well.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 18, 2026

recommand products