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 principal technologist at MapR Technologies. Ellen is a committer on the Apache Drill and Apache Mahout projects and coauthor of a number of books on computer science, including Machine Learning Logistics, Streaming Architecture, the Practical Machine Learning series, and Introduction to Apache Flink. Ellen has been an invited speaker at Strata Data conferences, Big Data London, Big Data Paris, Berlin Buzzwords, Nike Tech Talks, the University of Sheffield Methods Institute in the UK, and NoSQL Matters Barcelona. She holds a PhD in biochemistry.
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