(EBOOK PDF)Real World Hadoop 1st Edition by Ted Dunning 9781491922668 1491922664 full chapters

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• ISBN 10:1491922664  

• ISBN 13:9781491922668

• Author:Ted Dunning 

Real-World Hadoop
If you’re a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues. You’ll learn about early decisions and pre-planning that can make the process easier and more productive. If you’re already using these technologies, you’ll discover ways to gain the full range of benefits possible with Hadoop. While you don’t need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects. Examine a day in the life of big data: India’s ambitious Aadhaar project Review tools in the Hadoop ecosystem such as Apache’s Spark, Storm, and Drill to learn how they can help you Pick up a collection of technical and strategic tips that have helped others succeed with Hadoop Learn from several prototypical Hadoop use cases, based on how organizations have actually applied the technology Explore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production                                                                                                                                                 

Real World Hadoop 1st Table of contents:

How to Use This Book
Chapter 1. Turning to Apache Hadoop and NoSQL Solutions
A Day in the Life of a Big Data Project
From Aadhaar to Your Own Big Data Project
What Hadoop and NoSQL Do
When Are Hadoop and NoSQL the Right Choice?
Chapter 2. What the Hadoop Ecosystem Offers
Typical Functions
Data Storage and Persistence
Data Ingest
Apache Kafka
Apache Sqoop
Apache Flume
Data Extraction from Hadoop
Processing, Transforming, Querying
Streaming
Micro-batching
Batch Processing
Interactive Query
Search Abuse—Using Search and Indexing for Interactive Query
Visualization Tools
Integration via ODBC and JDBC
Chapter 3. Understanding the MapR Distribution for Apache Hadoop
Use of Existing Non-Hadoop Applications
Making Use of a Realtime Distributed File System
Meeting SLAs
Deploying Data at Scale to Remote Locations
Consistent Data Versioning
Finding the Keys to Success
Chapter 4. Decisions That Drive Successful Hadoop Projects
Tip #1: Pick One Thing to Do First
Tip #2: Shift Your Thinking
Tip #3: Start Conservatively But Plan to Expand
Tip #4: Be Honest with Yourself
Tip #5: Plan Ahead for Maintenance
Tip #6: Think Big: Don’t Underestimate What You Can (and Will) Want to Do
Tip #7: Explore New Data Formats
Tip #8: Consider Data Placement When You Expand a Cluster
Tip #9: Plot Your Expansion
Tip #10: Form a Queue to the Right, Please
Tip #11: Provide Reliable Primary Persistence When Using Search Tools
Tip #12: Establish Remote Clusters for Disaster Recovery
Tip #13: Take a Complete View of Performance
Tip #14: Read Our Other Books (Really!)
Tip # 15: Just Do It
Chapter 5. Prototypical Hadoop Use Cases
Data Warehouse Optimization
Data Hub
Customer 360
Recommendation Engine
Marketing Optimization
Large Object Store
Log Processing
Realtime Analytics
Time Series Database
Chapter 6. Customer Stories
Telecoms
What Customers Want
Working with Money
Sensor Data, Predictive Maintenance, and a “Time Machine”
A Time Machine
Manufacturing
Extending Quality Assurance
Chapter 7. What’s Next?
Appendix A. Additional Resources
Additional Publications
About the Authors
 

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