Global Data Management – a practical framework to rethinking enterprise, operational, and analytical data

Global Data Management – a practical framework to rethinking enterprise, operational, and analytical data

Tuesday, June 19
2:00 PM - 2:40 PM
Executive Ballroom 210D/H

Global data management is not a newly coined term. However, what it stands for is actually widening in scope particularly around data-in-motion and data-at-rest. Significant technology trends such as IoT, cloud, AI/ML, blockchain, and streaming data have given rise to excessive data volumes and also innovative use cases. The scope for global data management now extends all the way from ingestion, processing, storage, governance, security to analysis. With a good number of endpoints served through the cloud and major application footprints remaining on-premisess, it is pertinent to have a global data management strategy that supports hybrid models and more specifically, a multi-cloud model.

Many modern businesses struggle to balance the demands of rapidly innovating through new technologies like machine learning with the need to keep data safe and secure, all while responding to a constantly changing regulatory landscape. This puts data stewards, data engineers, architects, data scientists, and analysts under intense pressure as they must contend with existing and new applications, multiple logical and physical data stores and sources, diverse data types, and data spread across several deployment environments.

Attend this session led by Matt Aslett, Research Director at 451 Research and Dinesh Chandrasekhar, Director, Hortonworks to learn more about creating a framework for your enterprise that offers guidance on how to think about global data management—priorities, responsibilities, key stakeholders, compliance, and growth.


Dinesh Chandrasekhar
Dinesh Chandrasekhar is a technology evangelist, a thought leader and a seasoned product marketer with over 24+ years of industry experience. He has an impressive track record of taking new integration/mobile/IoT/Big Data products to market with a clear GTM strategy of pre-and-post launch activities. He has extensive experience working on enterprise software as well as SaaS products delivering sophisticated solutions for customers with complex architectures. His areas of expertise include IoT, Application/Data integration, BPM, Analytics, B2B, API management, Microservices and Mobility. He can articulate detailed use cases across multiple industry verticals like retail, manufacturing, utilities and healthcare. He is a prolific speaker, blogger and a weekend coder. He currently works at Cloudera, managing their Data-in-Motion product line. He is fascinated about new technology trends including blockchain and deep learning.
Matt Aslett
Research Director, Data Platforms and Analytics
451 Research
Matt Aslett is a Research Director for the Data Platforms and Analytics Channel at 451 Research. Matt has overall responsibility for the data platforms and analytics research coverage, which includes operational and analytic databases, Hadoop, grid/cache, stream processing, search-based data platforms, data integration, data quality, data management, analytics, machine learning and advanced analytics. Matt's own primary area of focus includes data management, reporting and analytics, and exploring how the various data platforms and analytics technology sectors are converging in the form of next-generation data platforms. Matt is a regular speaker at client and industry events and has delivered keynotes and moderated panels at Strata + Hadoop World, Hadoop Summit, Percona Live MySQL Conference, GraphConnect, Data Leadership and NoSQL Roadshow. Matt has been named by AnalyticsWeek as being among the top 200 Thought Leaders in the field of Big Data and Analytics.