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Hadoop Blueprints
Anurag Shrivastava Tanmay Deshpande
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Hadoop BlueprintsAnurag Shrivastava Tanmay Deshpande
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.
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.
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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.
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出版社Packt Publishing
出版时间2016年9月
字数356,579
分类计算机-编程设计
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Hadoop Blueprints
Anurag Shrivastava Tanmay Deshpande
- 扉页
- 版权页+书签
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Why subscribe?
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Hadoop and Big Data
- The beginning of the big data problem
- Building open source Hadoop
- Enterprise Hadoop
- The design of the Hadoop system
- MapReduce
- Building a MapReduce Version 2 program
- Hadoop platform tools
- Big data use cases
- The architecture of Hadoop-based systems
- Summary
- Chapter 2. A 360-Degree View of the Customer
- Capturing business information
- Setting up the technology stack
- Test driving Hive and Sqoop
- Engineering the solution
- Presenting the view
- Summary
- Chapter 3. Building a Fraud Detection System
- Understanding the business problem
- Selecting and cleansing the dataset
- Machine learning for fraud detection
- Designing the high-level architecture
- Creating our fraud detection model
- Putting the fraud detection model to use
- Chapter 4. Marketing Campaign Planning
- Creating the solution outline
- Supervised learning
- Tree-structure models for classification
- Finding the right dataset
- Setting the up the solution architecture
- Building the machine learning model
- Running the Model on Hadoop
- Creating the target List
- Post campaign activities
- Summary
- Chapter 5. Churn Detection
- A business case for churn detection
- Creating the solution outline
- Building a churn predictor using Hadoop
- Summary
- Chapter 6. Analyze Sensor Data Using Hadoop
- A business case for sensor data analytics
- Creating the solution outline
- Technology stack
- Batch data analytics
- Stream data analytics
- Summary
- Chapter 7. Building a Data Lake
- Data lake building blocks
- Hadoop security
- Apache Ranger
- Apache Flume
- Apache Zeppelin
- Technology stack for Data Lake
- Data Lake business requirements
- Summary
- Chapter 8. Future Directions
- Hadoop solutions team
- Hadoop on Cloud
- NoSQL databases
- Summary
Hadoop Blueprints
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