
Watch Sample Class Recording: http://www.edureka.co/apache-storm?utm_source=youtube&utm_medium=referral&utm_campaign=real-time-analytics Real-time Data Analy…
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Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes.Through real-world examples and practical exercises, you’ll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Pyth
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Tableau Emerges As Go-To Name In Data Analytics DATA CRM IBM ORCL
The fast-growing, multibillion-dollar data analytics software market is a crowded space, and Tableau Software (NYSE:DATA) is smack dab in the middle of it. According to a recent report from market tracker IDC, global sales of business analytics …
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8 big trends in big data analytics
Bill Loconzolo, vice president of data engineering at Intuit, jumped into a data lake with both feet. Dean Abbott, chief data scientist at Smarter Remarketer, made a beeline for the cloud. The leading edge of big data and analytics, which includes data …
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Pentagon Seeks to Manage, Protect Defense Systems Through Big Data Analytics
U.S. defense organizations are moving quickly to adopt big data and analytics tools for work such as military vehicle maintenance, infrastructure management and tactical decision-making, Defense Systems reported Friday. Terry Costlow writes some big …
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Research and Markets: Big Data in Financial Services Industry: Market Trends …
Big Data and predictive analytics solutions are poised to optimize the value of data within the financial services sector. Banks, investment firms, insurance companies and other service providers are learning to leverage the value of data and gain …
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During the last few decades of the 20th century, the development of an array of technologies has made it possible to observe the Earth, collect large quantities of data related to components and processes of the Earth system, and store, analyze, and retrieve these data at will. Over the past ten years, in particular, the observational, computational, and communications technologies have enabled the scientific community to undertake a broad range of interdisciplinary environmental research and as
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This highly technical work is at the leading edge of spatial analysis. It covers the Global Monitoring for Environment and Security (GMES) initiative in the international context of access to environmental data. This book identifies the data policy issues, such as intellectual property rights, privacy, licensing and archiving policies, that affect environmental monitoring organisations, statistical institutes, mapping agencies, institutes for natural resources and Earth observation. It recommend
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