Executive Briefing: Top 10 big data blunders
Who is this presentation for?
- Data engineers, data stewards, data curators, data scientists, chief data officers, and chief information officers
As a steward for your enterprise’s data and digital transformation initiatives, you’re tasked with making the right choice. But before you can make those decisions, it’s important to understand what not to do when planning for your organization’s big data initiatives.
Michael Stonebraker shares his top 10 big data blunders. As a pioneer of database research and technology for more than 40 years, Michael understands the mistakes enterprises often made and knows how to correct and avoid them. By learning about the major blunders, you’ll know how best to future-proof your big data management and digital transformation needs. Common blunders include problems from not planning on moving everything to the cloud to believing that a data warehouse will solve all your problems to succumbing to the “innovator’s dilemma.” To illustrate the blunders, he shares a variety of corrective tips, strategies, and real-world examples.
- Familiarity with the major concepts of data science, data management, and databases
What you'll learn
- Understand what not to do or believe to know what to do in order to insure data management success
Michael Stonebraker is the cofounder and chief technology officer at Tamr, an adjunct professor at MIT CSAIL, and a database pioneer who has been involved with PostgreSQL, SciDB, Vertica, VoltDB, Tamr, and other database companies. He coauthored the paper “Data Curation at Scale: The Data Tamer System,” presented at the Conference on Innovative Data Systems Research (CIDR’13).
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