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.
The definition of ecommerce has dramatically expanded to include non-retail environments, with all smart businesses tailoring and marketing their products and services at the individual customer level. Meeting the increasing demands of customer-facing line-of-business applications greatly depends on the databases supporting them. This paper discusses the five key rules of great ecommerce and the changes they require in your database infrastructure.
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.
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.
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.
Solution Brief: Equinix Performance Hub. Fast, Consistent and Reliable Network and Application Performance for the Enterprise
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.
The Road to Real Time: The Internet of Things - Today, many businesses are embracing a Hybrid Data Ecosystem to meet the evolving needs of Big Data projects.
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.
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?