BOOM!! That’s a sonic explosion caused by the explosive growth of data in the digital universe. The EMC Digital Universe Study – with research and analysis by IDC – highlights this data eruption. But this explosion of data doesn’t really mean much if one can’t capture, integrate, and analyze the wealth of data to uncover new insight about your customers, products, markets, and operations.
eBay Case Study - DataStax Enterprise delivers enterpriseready Cassandra, then goes one step further by integrating the best of breed Big Data technologies — Apache Hadoop for analytics, and Apache Solr for search across multiple datacenters and the cloud.
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.
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.
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.
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.
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.
"Big Data " initiatives create significant opportunities for business and IT leaders, but both must come to terms with challenges they introduce. A focus on the impact of analytical outcomes in supporting material and measurable business decisions.
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.
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. Koverse separates signal from noise for data-driven organizations. The Koverse platform consolidates the elements required to turn big data into actionable insight.
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.
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?
Trails of data follow almost everything we do—emailing, web browsing, shopping, and social networking. Most companies used to discard this information. Today, however, they are looking for ways to collect and analyze it, hoping to drive more informed decision-making, increase revenues, and analyze consumer and industry trends. Uncomplicate your big data project with Pythian’s end-to-end consulting and managed services.
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.
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?