Introduction to Apache Flink
by Ellen Friedman & Kostas Tzoumas
1: What Apache Flink can do
2: How it maintains consistency and provides flexibility
3: How people are using it (in tests and production)
4: Best practices for streaming architectures
BI and Analytics on a Data Lake: The Definitive Guide
by Sameer Nori & Jim Scott
Examine the business potential and significant dynamics of analytics and self-service data exploration on a big data platform.
Architect's Guide to Implementing a Digital Transformation
by George Demarest with Jim Scott
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
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.
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.
New Designs Using Apache Kafka and MapR Streams
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.
Real World Hadoop
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.