Big Data Summit Presentations

At the conclusion of the previous Big Data Summit, presentations from the event were posted to ensure that attendees could continue to access and share them with colleagues who were unable to attend. The Big Data Summit staff is happy to provide attendees with the content from what proved to be a very dynamic technology conference.

If you attended the Big Data Summit and would like to have access to the presentation slides and notes from the event, contact Marketing@cdmmedia.com or +1 312.374.0805

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Whitepapers

Unleashing the Power of Hadoop for Big Data Analytics Unleashing the Power of Hadoop for Big Data Analytics - Data analytics, long the obscure pursuit of analysts and quants toiling in the depths of enterprises,has emerged as the must-have strategy of organizations across the globe.

Resolving the Big Data Dilemma Resolving the Big Data Dilemma - Explore for Hidden Insights or Execute Based on Pre-determined ROI? This white paper talks about ways to resolve organizational tension which may exist between big data opportunity management and financial investment concerns.

Fostering Better Decisions with Big Data Visualization Fostering Better Decisions with Big Data Visualization - Compiling big data alone isn't enough - companies must be able to analyze and visualize it in real-time across a variety of sources.

Dealing with Big Data Every day, trillions of bytes of data are generated by organizations and individuals around the world. Companies know there are valuable insights buried within those mountains of bits—and are looking to their CIOs to find ways to use them. This paper shares Pythian’s practical perspective on how to approach the big data challenge organizationally and technically, and now to sift information of value out of the ever-growing background of digital noise.

Converging business and IT to transform to the Digital Enterprise Companies today no longer have a choice in the matter—to attract and retain customers, companies must have a digital strategy. Whether it is about offering digital products and services, streamlining the underlying IT of internal processes for greater efficiency or improving customer experience, innovative use of technology is determining market share. As a consequence, business models are being radically overhauled—not in baby steps but in big, monumental shifts. The repercussions vibrate throughout the whole enterprise —changing operating models, business processes and the operating modes of IT.

Executive Content

The Big Data Storymap Market dynamics are changing due to big data. Data, like water, is powerful. Massive volumes of structured and unstructured data, wide variety of internal and external data, and high-velocity data can either power organizational change and business innovation, or it can swamp the unprepared.

Getting big data right is hard. Koverse makes it easier. Getting big data right is hard. Koverse makes it easier. Koverse separates signal from noise for data-driven organizations. The Koverse platform consolidates the elements required to turn big data into actionable insight.

What is Qubole? The creators of Facebook’s Big Data infrastructure and founders of Apache Hive have joined forces and leveraged their experience to deliver Qubole – a Big Data cloud service offering the same advanced capabilities used by Big Data savvy organizations for a fraction of the cost.

Solution Brief: Equinix Performance Hub Solution Brief: Equinix Performance Hub. Fast, Consistent and Reliable Network and Application Performance for the Enterprise

Inside Market Data - Analytics Special Report For a long time, it was accepted that “data is data.” But now, financial firms and investors are looking to incorporate completely new data types into pricing models, risk management and trading strategies. With this comes the need for new tools to analyze this data—both the new types available, and the sheer volume being generated—in new ways, which is generating a flurry of activity among traditional and next-generation analytics providers. The analytics of the future won’t look like the old line graphs of the past. So what will they look like, and how will their value change as a result?

 
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