Buy Learning Apache Spark 2 by Muhammad Asif Abbasi- Bookswagon UAE
close menu
Bookswagon
search
My Account
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology Books > Databases > Data mining > Learning Apache Spark 2: A beginner's guide to real-time Big Data processing using the Apache Spark framework
Learning Apache Spark 2: A beginner's guide to real-time Big Data processing using the Apache Spark framework

Learning Apache Spark 2: A beginner's guide to real-time Big Data processing using the Apache Spark framework


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Learn the fundamentals of Apache Spark 2 and build high-value Big Data solutions with ease Key Features Familiarize yourself with the new features introduced in Apache Spark 2, as well as its components for Big Data processing and analytics Manipulate your data, perform stream analytics and machine learning, and deploy your Spark models to production using practical examples If you are new to Apache Spark and want to quickly get started with it, this book will help you Book DescriptionApache Spark has seen an unprecedented growth in terms of its adoption over the last few years, mainly because of its speed, diversity and real-time data processing capabilities. It has quickly become the preferred choice of tool for many Big Data professionals looking to find quick insights from large chunks of data. This book introduces you to the Apache Spark framework, and familiarizes you with all the latest features and capabilities introduced in Spark 2. Starting with a detailed introduction to Spark’s architecture and the installation procedure, this book covers everything you need to know about the Spark framework in the most practical manner. You will learn how to perform the basic ETL activities using Spark, and work with different components of Spark such as Spark SQL, as well as the Dataset and DataFrame APIs for manipulating your data. Then, you will perform machine learning using Spark MLlib, as well as perform streaming analytics and graph processing using the Spark Streaming and GraphX modules respectively. The book also gives special emphasis on deploying your Spark models, and how they can be operated in a clustered mode. During the course of the book, you will come across implementations of different real-world use-cases and examples, giving you the hands-on knowledge you need to use Apache Spark in the best possible manner. What you will learn Get a thorough overview of Big Data processing and analytics, and its importance to organizations and data professionals Get familiarized with the Apache Spark ecosystem, and the new features released in Spark 2 for data processing and analysis Get a thorough understanding of different modules of Apache Spark such as Spark SQL, Spark RDD, Spark Streaming, Spark MLlib and GraphX Work with data of different file formats, and learn how to process it with Apache Spark Introduce yourself to SparkR and walk through the details of data munging including selecting, aggregating and grouping data using R studio Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager Build effective recommendation engines with Spark using collaborative filtering Who this book is forThis book is intended for aspiring Big Data professionals and anyone who wants to get started with Apache Spark for Big Data processing and analytics. If you’ve worked with Apache Spark before and want to get familiarized with the new features introduced in Spark 2, this book will also help you. Some fundamental understanding of Big Data concepts and knowledge of Scala programming is required to get the best out of this book.

Table of Contents:
Table of Contents

  1. Getting Started
  2. Transformation and Actions with Spark RDDs
  3. ELT with Spark
  4. Spark SQL
  5. Spark Streaming
  6. Machine Learning with Spark
  7. GraphX
  8. Operating in Clustered Mode
  9. Building a recommendation System
  10. Predicting customer churn
  11. There's more with Spark


About the Author :
Muhammad Asif Abbasi has worked in the industry for over 15 years in a variety of roles from engineering solutions to selling solutions and everything in between. Asif is currently working with SAS a market leader in Analytic Solutions as a Principal Business Solutions Manager for the Global Technologies Practice. Based in London, Asif has vast experience in consulting for major organizations and industries across the globe, and running proof-of-concepts across various industries including but not limited to telecommunications, manufacturing, retail, finance, services, utilities and government. Asif is an Oracle Certified Java EE 5 Enterprise architect, Teradata Certified Master, PMP, Hortonworks Hadoop Certified developer, and administrator. Asif also holds a Master's degree in Computer Science and Business Administration.


Best Sellers


Product Details
  • ISBN-13: 9781785889585
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Language: English
  • Sub Title: A beginner's guide to real-time Big Data processing using the Apache Spark framework
  • ISBN-10: 1785889583
  • Publisher Date: 28 Mar 2017
  • Binding: Digital (delivered electronically)
  • No of Pages: 356


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Learning Apache Spark 2: A beginner's guide to real-time Big Data processing using the Apache Spark framework
Packt Publishing Limited -
Learning Apache Spark 2: A beginner's guide to real-time Big Data processing using the Apache Spark framework
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.

Learning Apache Spark 2: A beginner's guide to real-time Big Data processing using the Apache Spark framework

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


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!