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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Case Studies

Whitepapers

From Zero to Big Data in Minutes: Qubole vs. EMR From Zero to Big Data in Minutes: Qubole vs. EMR (Big Data Republic)

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.

Wrangling Actionable Insights from Organizational Data- Koverse Eases Big Data Analytics for Those with Strong Security Requirements Wrangling Actionable Insights from Organizational Data - The amount of data created and stored by organizations around the world is doubling in size every two years, and is expected to grow from 800,000 petabytes in 2010 to a predicted 35 Zetabytes (35 million Petabytes) according to research from IDC. Needless to say, flourishing data growth challenges organizations as they struggle to find ways to derive meaning from all of the information generated.

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.

Big Data for Big Industries There is a new universe of data being created by smart meters, mobile devices, social media, RFID, web logs, and other sources. Meanwhile, many industries have only begun exiting the paper-based documentation era. It’s no longer the case that all possible insights about an organization come only from a structured data warehouse full of vetted data developed inside one’s own four walls. Embracing big data means accepting that you can gain valuable insights about your organization, your customers, and the world at large from external sources, and by looking at data in a new way.

Executive Content

Make Intelligent Decisions with Big Data No doubt the amount of data your company collects is growing. But what’s the point of amassing all that information if you can’t use it to drive your business forward? Smart businesses are giving people throughout their organizations access to deeper intelligence by marrying their big data and business intelligence efforts into a big data solution. The result is better decisions based on meaningful insights company wide. What’s your strategy for big data analytics?

HOW DO THE MOST PROGRESSIVE BUSINESSES ACCELERATE GROWTH? How Do The Most Progressive Businesses Accelerate Growth? In a shifting landscape, you need insight and agility to prosper. Increasing digitization. Exponential growth of mobile, video, and global IP traffic. More cloud applications pushing more data to more networks.Platform Equinix is where global business and growth connect.

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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