Architect's Guide to Implementing a Digital Transformation

Architect's Guide to Implementing a Digital Transformation

by George Demarest

George Demarest presents the story of how organizations progress through four phases of digital transformation:
Phase 1: Experimentation
Phase 2: Implementation
Phase 3: Expansion
Phase 4: Optimization

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Getting Started With Apache Spark

The Six Elements of Securing Big Data

Theory and Principles for Defending Against Attack

by Davi Ottenheimer

This book takes you through the foundations for engineering quality big data systems. Although technology follows a long arc with many dependencies, there are interesting problems in big data that need special attention.

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Getting Started With Apache Spark

Getting Started with Apache Spark

From Inception to Production

by Jim Scott

Apache Spark is a powerful, multi-purpose execution engine for big data enabling rapid application development and high performance.

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Big Data All-Stars

Big Data All-Stars

Real-World Stories and Wisdom from the Best in Big Data

Stories collected by Datanami

Those of us looking to take a significant step towards creating a data-driven business sometimes need a little inspiration from those that have traveled the path we are looking to tread.

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Streaming Architecture

Streaming Architecture

New Designs Using Apache Kafka and MapR Streams

by Ted Dunning & Ellen Friedman

Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve the efficiency of your organization.

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Real World Hadoop

Real World Hadoop

by Ted Dunning & Ellen Friedman

This book is for you if you are interested in how Apache Hadoop and related technologies can address problems involving large-scale data in cost-effective ways. Whether you are new to Hadoop or a seasoned user, you should find the content in this book both accessible and helpful.

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