Apache Spark Projects
Home > Computing and Information Technology > Databases > Apache Spark Projects: A complete walk-through of Apache Spark's core capabilities with 7 real-world Big Data projects
Apache Spark Projects: A complete walk-through of Apache Spark's core capabilities with 7 real-world Big Data projects

Apache Spark Projects: A complete walk-through of Apache Spark's core capabilities with 7 real-world Big Data projects

|
     0     
5
4
3
2
1




Out of Stock


Notify me when this book is in stock
About the Book

Explore the potential of Apache Spark and its ecosystem through real-world applications. About This Book * A unique, practical guide with 7 end to end projects demonstrating the power of Apache Spark * Shows the readers how to perform real-time Big Data processing using different components of Apache Spark * Includes best practices and tips for highest performance of their Big Data processing pipeline with Apache Spark Who This Book Is For This book is for Big Data professionals who want to master the features of Apache Spark and bring speed and ease-of-use in executing large-scale data processing tasks. Basic understanding of Apache Spark ecosystem is sufficient to get the most out of this book. What You Will Learn * Explore Spark ecosystem and learn to deploy in large-scale clusters * Perform basic operations of Spark with the Movie lens data analysis * Learn how to do data analysis using Spark Streaming and SQL * Understand how to predict flight delays with Mlib * Learn how to forecast sales predictions with SparkR * Write Pyspark codes for building a recommendation engine In Detail Apache Spark is one of the most popular Big Data tools used in a plethora of industries today right from E-commerce, Entertainment to Travel and Retail Industry. This book demonstrates how to leverage the capabilities of Apache Spark and use them in practical projects using real-world scenarios. The book begins with a quick introduction to all the components of the Spark ecosystem and later teach the readers how to use them in real-world scenarios. It demonstrates how to use each component of Apache Spark ecosystem, i.e. Spark SQL, Spark Streaming, Spark Mllib, PySpark to build an efficient, end to end Big Data processing pipeline. Some of the projects that are covered such as Sales forecasting using SparkR and recommendation engine using PySpark. The readers will learn about the different libraries like Mlib, Spark SQL, GraphX and Spark Streaming. Throughout the book, the readers will gain knowledge about the different components of the Spark ecosystem and will also be able to manage their big data pipelines using Apache Spark. By the end of the book, you will master all the aspects of Apache Spark, and use them in your own Big Data projects without any hassle.


Best Sellers


Product Details
  • ISBN-13: 9781788995955
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Height: 235 mm
  • No of Pages: 281
  • Width: 191 mm
  • ISBN-10: 1788995953
  • Publisher Date: 14 Feb 2020
  • Binding: Paperback
  • Language: English
  • Sub Title: A complete walk-through of Apache Spark's core capabilities with 7 real-world Big Data projects


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Apache Spark Projects: A complete walk-through of Apache Spark's core capabilities with 7 real-world Big Data projects
Packt Publishing Limited -
Apache Spark Projects: A complete walk-through of Apache Spark's core capabilities with 7 real-world Big Data projects
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Apache Spark Projects: A complete walk-through of Apache Spark's core capabilities with 7 real-world Big Data projects

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!