Big Data Comes of Age: Shifting to a Real-time Data Platform

New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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Enabling Real-Time Big Data Movement in the Constantly Connected World

Many forces in today's world of big data are driving applications to become more real-time. Data needs to go many places, be sorted and stored in different formats, and used in a wide variety of ways. Capturing high volume data streams inside and outside datacenters can be complicated and expensive using traditional software messaging middleware on general purpose servers. In order to realize the full value of “big data” some organizations are switching to real-time message-oriented middleware appliances... Read More

Analytics: The Real-World Use of Big Data

  • Source: IBM
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Big data inspires new ways to transform processes, organizations, entire industries—and even society itself. Yet extensive media coverage and diverse opinions make it easy to perceive that big data is only for “big” organizations. So what is really happening? Our newest research finds that midsize organizations are just as likely to be using big data technologies to tap into existing data sources and get closer to their customers as any other company. Find out how. Read More

The Operational Data Lake: Your On Ramp to Big Data

Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus,... Read More

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Real-Time Data Management Delivers Faster Insights, Extreme Transaction Processing, and Competitive Advantage

Most businesses today realize they need to deliver performance and responsiveness as quickly as possible—at the speed of real-time business. New paradigms, such as the intersection of big data and predictive analytics, offer rewards to organizations that are agile enough to take advantage of the insights discovered. But achieving the agility demanded by real-time business and next-generation applications requires a new set of interconnected data management capabilities. This paper examines the opportunities... Read More

Transform Your Business with Data and Analytics

  • Source: IBM
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Harnessing all data and analytics to extract valuable insight sharpens your organization’s competitive edge. This paper presents a five-step approach to identifying, assessing, and deploying big data and analytics that repositions it as a central engine for your business. In the age of big data, this proactive strategy, combined with proper support, guidance and follow-through, can set your business apart in an increasingly crowded marketplace. Read More

Modern Finance In The Digital Age: Plan and Predict Best Practices

The “3rd platform” continues to be a driving force of change within the global business economy and investors are increasingly more interested in businesses that can leverage big data. For the financial well-being of a company, implementing best practices for planning and prediction based on big data is crucial.

All aspects of business must keep pace and respond to changing forecasts and markets, creating value with the use of digital technologies. In developing uniformity of high-quality... Read More
 
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