Foundations for Architecting Data Solutions: Managing Successful Data Projects
Ted Malaska, Jonathan Seidman
$301企業大數據處理:Spark、Druid、Flume與Kafka應用實踐(BigData Processing with Spark,Druid,Flume and Kafka)
$250PySpark 實戰指南 : 利用 Python 和 Spark 構建數據密集型應用並規模化部署 (Learning PySpark)
Foundations for Architecting Data Solutions provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects.
This practical book covers a variety of different big data architectures and applications, from massive data pipelines to web scale applications. Each chapter addresses a different part of the software development life cycle and identifies patterns that build on one another to maximize success throughout the life of your project.
You’ll learn how to:
- Build a Big Data center of excellence in your company for the first time
- Identify and manage risk in your data project
- Retain and motivate teams to increase engagement and innovation
- Maximize Big Data ROI and align cost structure to help your company attain success