Last December, International Data Corporation presented a top ten list of technology predictions for 2014. Among those predictions, IDC claims that enterprise spending on Big Data analytics services in 2014 will increase by 21 percent over 2013, to exceed $4.5 Billion. Obviously companies are starting to recognize that their vast pools of data hold immense potential.
But spending money on Big Data and extracting real value from it are two different things. According to research by Gartner published in a 2011 article on ComputerWeekly.com, between 70 and 80 percent of corporate business intelligence projects flat out fail.
At Gartner’s 2013 Business Intelligence and Analytics Summit, a panel of vendors agreed that more than 70 percent of analytics projects failed to meet expectations. What is the main reason for that kind of failure?
New Users Embrace Avere’s Innovative Data Storage Solutions for Cloud and Performance of Critical Applications PITTSBURGH – January 22, 2014 – Avere Systems, a leading provider of enterprise storage for cloud enabled data centers, today announced the company experienced substantial growth and momentum in 2013 in the key areas of bookings, customer acquisition and product innovation. The explosion in the scale, complexity and cost of data in the enterprise combined with the adoption of cloud…
Kroll Ontrack, the leading provider of data recovery, information management and e-disclosure products and services, today announced its 11th annual list of the top 10 data disasters from 2013. For the last 11 years, Kroll Ontrack has annually been collecting and publishing a list of the 10 most interesting data losses from its offices around the globe.
Data is one of those boring but essential components of a successful, modern business. Business leaders rely on research to make marketing and sales decisions, and data records all of the interactions within the business. Since data has so much potential to guide an organization to success, it is surprising how many companies store data that is completely useless to them. It’s not that the data is inherently worthless, but the organization doesn't have the capacity to handle or analyze the data for the information to have value.
While relational databases have been the staple of the business world for decades, it may be time for businesses to switch to a Hadoop distribution that overcomes the following five deficiencies.
We have all read the articles touting the benefits of cloud computing and have also read the warnings about downtime and security. After doing your own research and evaluating your current business situation, we have decided that moving to the cloud is a good idea. Now what? As any IT professional can attest, implementing a new application or process is complicated enough, let alone moving an entire or maybe part of an infrastructure from one medium to another. How should businesses prepare for this move? What steps should they take and what issues should they watch out for? The complete answer will vary for each organization, but the following advice should get you started in the right direction when migrating to a cloud database.
Businesses have seen the value of data for years. Thus, businesses have collected survey, transaction and marketing data all with the hope that by analysing it they can improve their business processes and become more profitable. The problem is that some companies end up paying more than the data is actually worth, due to poor business practices or relying on a data warehouse that simply can't keep up with today’s influx of data. For business leaders who find the following five signs familiar, it may be time to switch to big data as a service, such as Qubole, to get the most out of the data they collect and the money they spend.
Looking at the current challenges enterprise must carefully select vendors for NoSQL trend which is growing big. Job market trends in 2012 recorded MongoDB as the hottest skill in job market. In the NoSQL category, it is the fastest growing in terms of implementation. Adoption of this platform can be credited to its developer-centric approach which makes the development of application faster. Structured storage makes the consumption of data from MongoDB simpler which makes it a popular choice. Adoption of business object in its original form makes it easy for both: enterprise as user & vendor team as a developer. Hence, a translation between the database and application is ruled out. Infrastructure can manage the data storage scaling with focus on applications’ business logic.
Those who dismissed cloud computing a couple years ago as a passing fad are quickly learning that the cloud is here to stay. Just like Twitter and Facebook evolved from a college student “fad” to key marketing tools, cloud computing is a viable business solution. CIOs and CTOs who embrace the cloud and create a plan for their company’s transition to the cloud will provide a valuable asset to their company. Those who don't will soon fall behind and find themselves replaced by someone who knows how to incorporate the cloud.
Shrinking budgets and ongoing battles in Congress have prompted US government agencies to turn increasingly to open source database options like PostgreSQL, many with the help of EnterpriseDB, to slash database costs by as much as 80 percent, the company announced today.
Recently the Strata + Hadoop World conference was held at New York. This aimed to explore the changes brought to technology and business by big data, data science, and pervasive computing. Strata joined hands this year with Hadoop World and this was largest gathering of the Apache Hadoop community. So what brings all these key decision makers around the world come together under one roof?