Build a thriving business using data and analytics at scale

February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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CodeXNow

CodeX gives a new blend to Big Data analytics by coupling novel secure processing methods with new types of highly-efficient data search and analysis techniques running at wire speed. CodeX containerized microservices-based architecture for the cloud platform offers unique services to Fortune 500 customers.

OTHER WHITEPAPERS
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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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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

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Adopting a Modern Data Infrastructure for Trading Analytics

whitePaper | August 25, 2022

As they seek an edge in their trading and investment activities, hedge funds and other sophisticated trading firms are looking to harness new sources of insight that can allow them to identify and exploit emerging market and industry opportunities. But many organizations are saddled with a disconnected sprawl of legacy systems that are unable to handle the demands of today’s fast and often volatile markets.

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6 best practices for cloud data integration

whitePaper | September 1, 2022

Organizations often adopt a hybrid cloud strategy when deploying their first analytical solution to the cloud. The cloud combines sheer infinite scalability with consumption-based pricing. These are desirable attributes for analytical environments that require scalability and can be very expensive when scaled for maximum capacity over an extended period.

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Building Data Products: The Ultimate How-To Guide

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

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Spotlight

CodeXNow

CodeX gives a new blend to Big Data analytics by coupling novel secure processing methods with new types of highly-efficient data search and analysis techniques running at wire speed. CodeX containerized microservices-based architecture for the cloud platform offers unique services to Fortune 500 customers.

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