High Performance Data Analytics (HPDA) Market Research Report- Global Forecast to 2022 Market Scenario: High Performance Data Analytics is a technology to provide solutions to data analytics services such as graph modeling and visualization, streaming analytics, exploratory data analysis and emerging architecture analysis among others. Also it is high demand by businesses which needs to take fast decision to gain competitive advantages. The major factor that drives the growth of high performance data analytics (HPDA) market is increasing data explosion in enterprises, growing market of big data analytics and rising advanced and analytical method & tools among others. Globally the market for high performance data analytics (HPDA) market is expected to grow at the rate of more than ~18% from 2016 to 2022.
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Taste the market data and market information presented through more than 50 market data tables and figures spread in 138 numbers of pages of the project report. Avail the in-depth table of content TOC & market synopsis on “High Performance Data Analytics (HPDA) Market Research Report“
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The early diners are offered free customization- Up To 20% Target Audience: • Software vendors • Software developers • System integrators • Research & consultants • IT and Cloud service providers • Government Segments for High Performance Data Analytics (HPDA) Market: Global High performance data analytics (HPDA) Market can be segmented as follows: Segmentation by Component: Hardware and software. Segmentation by Technologies: Structured, semi-structured and unstructured. Segmentation by Application: manufacturing, financial, telecommunications, healthcare, retailers and energy among others.
Application & Major Players in this Research: The key players profiled in Global High Performance Data Analytics (HPDA) Market report include•
Cisco system, Inc. (U.S.),
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Red hat, Inc. (U.S.),
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IBM Corporation (U.S.),
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Hewlett-Packard Enterprise (U.S.),
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Oracle Corporation (U.S.),
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Microsoft Corporation (U.S.), Cray Inc.
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Intel Corporation
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Juniper Networks
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