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Data virtualization: Using data virtualization for an integrated analytics platform
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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Data virtualization: Using data virtualization for an integrated analytics platform


Joint Event on 5th World Machine Learning and Deep Learning Congress and World Congress on Computer Science, Machine Learning and Big Data

August 30-31, 2018 Dubai, UAE

Manoj Mishra

Union Insurance, UAE

Scientific Tracks Abstracts: J Comput Sci Syst Biol

Abstract :

In order to have the competitive advantage, organizations worldwide are driving the need for better analytics (historical, realtime, predictive and cognitive) of data across various domains including customers, products, services and operations. Due to this, the data available for such analytics is exploding in size, technology and complexity. For many years companies have invested in technologies like data warehouses, data marts, OLAP tools, Big Data/Hadoop systems and streaming real-time analytics platforms to take advantage of these opportunities. Total value preposition to the business is maximized only when these are combined into an integrated analytics platform. However, traditional tools cannot integrate streaming data and dataat- rest especially when the data is spread on-premises, cloud, websites and documents everywhere. Data virtualization can be used to provide cross platform logical views of data and analytic insights across the enterprise to provide an integrated analytics platform. By utilizing native integration with in-memory data grids for data processing, data virtualization can deliver a unified and centralized data services fabric with security and real-time integration across multiple traditional and big data sources, including Hadoop, NoSQL, cloud and software-as-a-service (SaaS). Hence data virtualization is becoming a need to address the unique challenges of data explosion in todayâ??s changing business climate.

Biography :

Manoj Mishra has completed his Bachelor of Engineering in Computer Science and a Certification in Data Science from Johns Hopkins University. He has more than two decade of experience spreading across multiple geographies (US, Europe, India and Middle East) working with organizations like Adobe Systems, Dell, Perot Systems, CEB-Gartner, Rolta and Tata Group. He is currently a Chief Manager of Business Intelligence and Data with Union Insurance and currently leading their data strategy and technology transformations through data analytics, research and various AI initiatives.

E-mail: manumishra2001@gmail.com

 

Google Scholar citation report
Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

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