BIG DATA MANAGEMENT

Top considerations for cloud native databases and data analytics

October 1, 2021

centering your database and data analytics workload development and deployment on a Kubernetes-based container, you can create a more efficient and speedy data life cycle. Access this white paper to learn how to improve key capabilities for database and data analytics workloads across hybrid cloud environments.

Spotlight

ValueBase

ValueBase is a responsive business intelligence company that specialises in healthcare. Our portfolio builds on the fusion of human and artificial intelligence to bring a new breed of personalised intelligence tools to the healthcare and pharmaceutical industries. Our intelligence tools are designed for professionals charged with demonstrating brand value. We combine innovative digital technology with specialist healthcare knowledge to identify, aggregate and structure large, disparate open data sources – and turn disorganised data into meaningful analytics. We use algorithm-based machine learning methodology to capture complex and cumbersome volumes of targeted, dynamic open source data.

OTHER WHITEPAPERS
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Hybrid Cloud and Data Analytics for Financial Services: Maturing the Model

whitePaper | August 25, 2022

This paper discusses how hybrid cloud and data analytics together enable new business value to be created in financial services organisations, proposes ways in which analytics can be embedded successfully and outlines how Atos, Microsoft and Dell EMC are collaborating to help bring these advantages about.

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Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

whitePaper | June 24, 2022

The reactive approach to discovering, analyzing, and correcting data quality issues in business applications has been marginally effective throughout the era of data consolidation for analytics (data warehousing, etc.) and the subsequent onset of “big data.”

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Building a High-Performance Data Organization

whitePaper | May 6, 2022

Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.

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The Total Economic Impact of Data Virtualization Using the Denodo Platform

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

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Big Data and Big Insights

whitePaper | June 10, 2022

The past few years have witnessed exponential growth in data volumes, forms and sources of data. To handle this ever increasing complexity and dimensionality, an Intelligent Framework for knowledge discovery is required. This framework should also support text analysis, visualization, intelligent search, man-machine interface, data management, geo-spatial, temporal data processing including statistics processing. A holistic approach based on Artificial Intelligence and Advanced Analytics provides such a framework. It brings forth a breakthrough natural language-based cognitive technology, which provides instant access to powerful predictive and visual analytic tools for businesses in general and market research in particular.

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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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Spotlight

ValueBase

ValueBase is a responsive business intelligence company that specialises in healthcare. Our portfolio builds on the fusion of human and artificial intelligence to bring a new breed of personalised intelligence tools to the healthcare and pharmaceutical industries. Our intelligence tools are designed for professionals charged with demonstrating brand value. We combine innovative digital technology with specialist healthcare knowledge to identify, aggregate and structure large, disparate open data sources – and turn disorganised data into meaningful analytics. We use algorithm-based machine learning methodology to capture complex and cumbersome volumes of targeted, dynamic open source data.

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