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Data Just Right a book utterly invaluable to every Big Data decision-maker, implementer, and strategist. Google`s Michael Manoochehri organizes this book around today`s key Big Data use cases, showing how they can be best addressed by combining technologies in hybrid solutions. Drawing on his own extensive experience, Manoochehri presents the technical detail needed to implement each solution, and best practices the reader can apply to any Big Data project.
Features
• The practical, realistic guide to making Big Data work: real use cases, up-to-date examples, actual code, detailed solutions
• Not another Big Data polemic: all the details tech-savvy readers need to build high-value solutions
• Cutting-edge approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, and working with real-time data
• Techniques using Hadoop, Hive, Pig, Tableau, Google Bigquery, and other pioneering tools
• By Michael Manoochehri, Big Data expert at Google
Contents
Part I: Directives in the Big Data Era
Chapter 1: Four Rules for Data Success
Part II: Collecting and Sharing a Lot of Data
Chapter 2: Hosting and Sharing Terabytes of Raw Data
Chapter 3: Building a NoSQL-Based Web App to Collect Crowd-Sourced Data
Chapter 4: Strategies for Dealing with Data Silos
Part III: Asking Questions about Your Data
Chapter 5: Using Hadoop, Hive, and Shark to Ask Questions about Large Datasets
Chapter 6: Building a Data Dashboard with Google BigQuery
Chapter 7: Visualization Strategies for Exploring Large Datasets
Part IV: Building Data Pipelines
Chapter 8: Putting It Together: MapReduce Data Pipelines
Chapter 9: Building Data Transformation Workflows with Pig and Cascading
Part V: Machine Learning for Large Datasets
Chapter 10: Building a Data Classification System with Mahout
Part VI: Statistical Analysis for Massive Datasets
Chapter 11: Using R with Large Datasets
Chapter 12: Building Analytics Workflows Using Python and Pandas
Part VII: Looking Ahead
Chapter 13: When to Build, When to Buy, When to Outsource
Chapter 14: The Future: Trends in Data TechnologyISBN - 9789332539259
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Pages : 248
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