The potential value in big data is now widely recognized, and businesses are adopting a selection of new technologies to collect, store, and process data at large scale. But getting the benefits of these approaches takes more than just learning to run new technologies. A transformation in how people think about data, how they plan projects, and how they make the decisions that accompany the digital transformation is also needed. In essence, the whole industry is undergoing a career change.
Ellen Friedman offers practical guidance on how to adopt an organizational culture that supports digital transformation, using examples of emerging technologies that include message transport technologies such as Apache Kafka, stream processing with Apache Flink, the SQL query engine Apache Drill, and a highly scalable document-style NoSQL database—plus real-world use cases from a variety industries. Along the way, Ellen explains how to take advantage of the added flexibility of big data approaches, technologies, and design strategies that support microservices and how to work with large-scale data on-premises and in the cloud.
Ellen Friedman is a data technologist with a Ph.D. in biochemistry. She is a committer for Apache Drill and Apache Mahout projects and co-author of books including AI & Analytics in Production, Machine Learning Logistics, Streaming Architecture, the Practical Machine Learning series, and Introduction to Apache Flink, all published by O’Reilly Media. Ellen has been a keynote speaker at JFokus in Stockholm, Big Data London and NoSQL Matters Barcelona and an invited speaker at Strata Data conferences, Berlin Buzzwords, Nike Tech Talks, and the University of Sheffield Methods Institute.
©2017, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org