Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop in the enterprise, allowing you to harness big data and do it in such a way that the solution:
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William leads McKnight Consulting Group. William is an internationally recognized authority in information management. His teams provide quick, agile approaches to information challenges faced by the Global 2000 and numerous midmarket companies. His unparalleled exposure to the market infuses ideas into client programs. William is an author of several books and a very popular speaker worldwide. He is a prolific writer with hundreds of articles and white papers published and has conducted numerous published benchmarks addressing big data questions. William is a distinguished entrepreneur, a former Fortune 50 technology executive and a former software engineer. He provides clients with strategies, architectures, platform and tool selection, and complete programs to manage information and has led several clients into business success with big data platforms.Jake Dolezal has more than 18 years of experience in the Information Management field with expertise in business intelligence, analytics, data warehousing, statistics, data modeling and integration, data visualization, master data management, and data quality. Jake has experience across a broad array of industries, including: healthcare, education, government, manufacturing, engineering, hospitality and gaming. Jake earned his Doctorate in Information Management from Syracuse University. He is also a Certified Business Intelligence Professional through TDWI with an emphasis in Data Analysis. In addition, he is a certified leadership coach and has helped clients accelerate their careers and earn several executive promotions.
Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop in the enterprise, allowing you to harness big data and do it in such a way that the solution: Complies with (and even extends) enterprise standards Integrates seamlessly with the existing information infrastructure Fills a critical role within enterprise architecture.Integrating Hadoop covers the gamut of the setup, architecture and possibilities for Hadoop in the organization, including: Supporting an enterprise information strategy Organizing for a successful Hadoop rollout Loading and extracting of data in Hadoop Managing Hadoop data once it s in the cluster Utilizing Spark, streaming data, and master data in Hadoop processes - examples are provided to reinforce concepts.
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