He is a recognized expert worldwide in the strategy, architecture and implementation of high performance Big Data Analytics, Data Warehousing, Analytics and Business Intelligence solutions. He is a visionary Data Warehouse thought leader, ranked as one of the top 20 Data Warehouse consultants in the world. Mr. Krishnan is an independent analyst, writing and speaking at industry leading conferences, user groups and trade publications. He has authored three books, four eBooks, over 395 plus whitepapers, articles, viewpoints and case studies in Big Data, Analytics, Business Intelligence, Data Warehousing and Data Warehouse Appliances and Architectures. Mr. Krishnan is an internationally recognized authority on Unstructured Data, Social Analytics and Big Data, Text mining and Text analytics. An innovator and solution expert, he is recognized for his work in high performance Data Warehouse architectures and is an acknowledged expert in performance tuning of complex database and Data Warehouse platforms. In his 24 plus years of professional experience he has been solving complex solution architecture problems spanning all aspects of Data Warehousing and Business Intelligence for fortune 500 clients. He has designed and tuned some of the world’s largest Big Data platforms, Data Warehouses, Analytics and Business Intelligence platforms. Clients include Commonwealth Bank of Australia, HBO, Bank of America, Target, Tesco, RBS, JP Morgan Chase, Allstate, Walgreens, Time Warner Cable, Boeing, Macys, GAP, Williams Sonoma, Allianz and more. Mr. Krishnan is an Independent Analyst in Big Data, Data Warehouse and Business Intelligence areas. He is a faculty with TDWI and presents and speaks at DAMA, IRM UK, MIT Symposium, Strata and other industry conferences. Mr. Krishnan serves as a technology advisor to many startup companies and advises Venture Capital firms on their technology portfolio of investments. He is sought after to assess startup companies in the data management and its associated emerging technology areas.
Past events by this speaker
- From 12/03/15 to 12/04/15 - International Big Data Conference 2015