Advisor

Protecting Sensitive Data in Big Data Environments

Posted March 8, 2017 | | Amplify
Curt Hall

Organizations are increasingly using big data platforms and applications to store and analyze large collections of structured, unstructured, and semistructured data. Key technologies include Hadoop and its associated components (e.g., Spark, Hive, HBase, Storm) as well as NoSQL and in-memory analytic databases. A recent Cutter survey sought to understand the extent that organizations use big data environments for their sensitive data needs.

About The Author
Curt Hall
Curt Hall is a Cutter Expert and a member of Arthur D. Little’s AMP open consulting network. He has extensive experience as an IT analyst covering technology and application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), machine learning (ML), intelligent process automation (IPA), natural language processing (NLP) and conversational computing, blockchain for business, and customer… Read More
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