An increasing number of organizations are leveraging big data to realize efficiencies in their business processes. They accomplish this by using analytics to track customer behavior and campaign efficiency. With the volume of data being handled by organizations growing exponentially, big data technology is critical for analysis of data that is challenging to deal with as it is often too diverse, fast-changing, or voluminous to address with conventional technology. Also, software quality for projects that handle big data is becoming more important for enterprises to consider.
In the very early days of the Internet most servers were stored and cared for at Universities or government installations. Today, however, a whole industry has blossomed with people running data centers and server farms for individuals and companies.
An introduction to big data
Big data analytics is a technology-enabled strategy for gaining richer, deeper, and more accurate insights into customers, partners, and business operations. This collection of tools, techniques, and technologies ultimately provide competitive advantage and increased agility by deriving insight from complex, large data sets. By processing a steady stream of real-time or static data, organizations can make time-sensitive decisions faster, monitor emerging trends, course-correct rapidly, and jump on new business opportunities.
Data set volumes continue to grow at an accelerated pace. Here are some interesting facts and projections surrounding Big Data.
The following is a description of current and emerging big data database technologies. The discussion is based on the objectives of these technologies as well as the type of data involved.
IBM CEO Ginni Rometty sees “big data” services as a strategic mandate for both IBM and their customers in 2013. Leveraging Big knowledge, analytical data tools, and services will enable customers to mine vast troves of information to make better and faster decisions.
One of the main themes at the recent RSA conference in San Francisco was the call to action for information security professionals to seek training and help recruit infosec professionals into this rapidly expanding industry.
IT teams really wish to help CIOs understand and derive the most benefit from big data. Team players understand that key projects serve an essential purpose in supporting organizational goals. Today across organizations in all industries, most of big data projects never get completed because of various resource issues. /companies too often fail to accurately determine the project’s scope, and leave CIOs and IT departments with inadequate resources and staffing to get the job done. Here is a look at the root causes of most of the Big Data project flops.
What if you deployed technology to discover which of your employees was disgruntled and posed a potential security threat to your organization?
Facebook’s new “graph search” is a smart moved and appears to be aimed at winning market share from Google’s popular and profitable search product.