Data, data everywhere, but if your goal is to provide data to a business analyst rather than a data scientist, what’s the best way to deliver analytics? There are 70+ BI tools in the market and a dozen or more SQL- or OLAP-on-Hadoop open source projects. Mark Madsen and Shant Hovsepian discuss the trade-offs between a number of architectures that provide self-service access to data as well as the pros and cons of architectures, deployment strategies, and customer examples of BI on big data.
Mark Madsen is a research analyst at Third Nature, where he advises companies on data strategy and technology planning, and the global head of architecture at Teradata, where he is responsible for understanding, forecasting, and defining the analytics landscape and architecture. Mark has designed analysis, data collection, and data management infrastructure for companies worldwide. He focuses on two types of work: the business applications of data and guiding the construction of data infrastructure. As a result, Mark does as much information strategy and IT architecture work as he does analytics.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2018, 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