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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues.

Analytics 101
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Pentaho Announces Online Demo Series

CTOvision

Dive Into The Pentaho Agile Business Analytics & Data Integration Platform in Action. We’ll take a spin through Pentaho’s user interface to illustrate: Intuitive, visual analytics capabilities for any business role – including ad hoc analysis, dashboards, & interactive reporting. By Bob Gourley.

Big Data 103
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Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

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Pentaho Continues To Innovate: Data Science Pack Operationalizes Use of R and Weka

CTOvision

Through Pentaho Data Integration (PDI), data scientists can offload the drudgery of the data flow process with analytic components for R and Weka, so organizations can spend more time on strategic advanced and predictive analytics to achieve a more complete view into customer behavior. About Pentaho Corporation.

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Data Virtualization with Oracle Enterprise Semantic Models

Perficient

Organizations need the agility to adapt quickly to the additional sources, while maintaining a unified business view. Data Virtualization As a Key Component Of a Data Fabric That’s where the concept of data virtualization provides an adequate solution. In addition, data movements are complex and costly.

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Building Quick, Robust, and Flexible APIs with Data Virtualization

Data Virtualization

Bring any data to any data consumer, simply and easily: that’s the goal of data virtualization. Yet contrary to what may first come to mind, data consumers are more than simply BI, analytics, or data science applications. Just about every.

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Simplifying Big Data Projects with Data Virtualization

Data Virtualization

The post Simplifying Big Data Projects with Data Virtualization appeared first on Data Virtualization and Modern Data Management. According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard!