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.
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.
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.
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.
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?
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.
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.