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.
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.
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.
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.
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.
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?
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.
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.