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Hadoop Blueprints
Hadoop Blueprints

Hadoop Blueprints: Use Hadoop to solve business problems by learning from a rich set of real-life case studies

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Profile Icon Anurag Shrivastava Profile Icon Sudheesh Narayan Profile Icon Deshpande
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€36.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Sep 2016 316 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Anurag Shrivastava Profile Icon Sudheesh Narayan Profile Icon Deshpande
Arrow right icon
€36.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Sep 2016 316 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

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Hadoop Blueprints

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Key benefits

  • Solve real-world business problems using Hadoop and other Big Data technologies
  • Build efficient data lakes in Hadoop, and develop systems for various business cases like improving marketing campaigns, fraud detection, and more
  • Power packed with six case studies to get you going with Hadoop for Business Intelligence

Description

If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space.

Who is this book for?

If you are interested in building efficient business solutions using Hadoop, this is the book for you This book assumes that you have basic knowledge of Hadoop, Java, and any scripting language.

What you will learn

  • Learn about the evolution of Hadoop as the big data platform
  • Understand the basics of Hadoop architecture
  • Build a 360 degree view of your customer using Sqoop and Hive
  • Build and run classification models on Hadoop using BigML
  • Use Spark and Hadoop to build a fraud detection system
  • Develop a churn detection system using Java and MapReduce
  • Build an IoT-based data collection and visualization system
  • Get to grips with building a Hadoop-based Data Lake for large enterprises
  • Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 30, 2016
Length: 316 pages
Edition : 1st
Language : English
ISBN-13 : 9781783980307
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Apache
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Product feature icon Access this title in our online reader with advanced features
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OR
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Estimated delivery fee Deliver to Malta

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€32.95
(Includes tracking information)

Product Details

Publication date : Sep 30, 2016
Length: 316 pages
Edition : 1st
Language : English
ISBN-13 : 9781783980307
Vendor :
Apache
Category :
Languages :
Tools :

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Table of Contents

8 Chapters
1. Hadoop and Big Data Chevron down icon Chevron up icon
2. A 360-Degree View of the Customer Chevron down icon Chevron up icon
3. Building a Fraud Detection System Chevron down icon Chevron up icon
4. Marketing Campaign Planning Chevron down icon Chevron up icon
5. Churn Detection Chevron down icon Chevron up icon
6. Analyze Sensor Data Using Hadoop Chevron down icon Chevron up icon
7. Building a Data Lake Chevron down icon Chevron up icon
8. Future Directions Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
5 star 100%
4 star 0%
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1 star 0%
Wissem Dec 22, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a technical reviewer of this book, I highly recommend reading it. It has very complete and useful real world use cases of using Hadoop and its ecosystem. Chapters explain Big Data technology trends like IOT , Data Lakes and how Hadoop fits with is ecosystem to solve those problems. Analyze Sensor Data Using Hadoop, Building a data lake, Building a Fraud Detection System, Churn Detection are my favorites chapters where the authors bring with examples the steps of using Hadoop ecosystem. In Summary, if you want to learn Hadoop with examples, this is the right book for you.Cheers
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Shipping Details

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Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
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Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

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Rest of the World:

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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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  8. Guinea-bissau
  9. Iran
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