How to perform capacity planning for a Hadoop cluster
The number of machines, and specs of the machines, depends on a few factors: the volume of data (obviously), the data retention policy (how much can you afford to keep before throwing away), the type of workload you have (data ...
5 Big Data Trends Impacting Financial Institutions in 2016
The adoption of industry standards and more mature platforms will shift big data's focus from IT-driven infrastructure projects to business-driven data solutions. Those who adopt big data strategies early and aggressively will realize operational efficiencies and top-line growth.
In 2016, we ...
Tools of a Data Scientist
Unlike your typical programmer, who may use a standardised set of tools, data scientists tend to use a wide array of ever changing tools. This is because the data science landscape is evolving rapidly, with many new tools still far ...
18 Most Top Paying Big Data certifications
Big data has officially become big business—look no further than the cloud, cognitive and big data offerings from IBM to see how much and how quickly those arenas have grown. And they’re continuing to grow at breakneck speed.
With that growth ...
3 Tips for Optimizing Big Data Analytics
Every year, the amount and type of data companies must manage increases. Commonly called Big Data, this information—everything from social media posts, audio and images to transaction records, sensor data and video—continues growing unabated. According to IDC, data is growing ...
8 Skills You Need to Be a Data Scientist
Interested in landing a job as a data scientist? These are the core set of 8 data science competencies you should develop:
1. Basic Tools: No matter what type of company you’re interviewing for, you’re likely going to be expected to ...
Bank of America & Ticketmaster share DC optimization stories
Software-defined data center to dominate the airwaves at New York conference
The newly launched “Software-Defined” conference track at DCD Enterprise in New York on April 19-20 will explore the subject from every angle. “SDDC simply means that no layer of the ...
Big Data Analytics: Tools and Trends
One of the actual utilizations of future era parallel and appropriated frameworks is in big-data analytics. Analysis tasks regularly have hard due dates, and data quality is an essential concern in yet different applications. For most rising applications, data-driven models ...
7 Reasons Big Data Analytics initiatives fail
Every business worth its multi-million-dollar tagline wants to understand Big Data Analytics and leverage it. What I have realised is that it takes not only skill but finesse as well to understand and appreciate Big Data in all its beauty ...
Data Science Skills in Demand for 2016
Big data has been the watchword for a while in IT, so it’s no surprise that data science skills are in hot demand and the job has perhaps mischievously been labelled as the ‘sexiest job in the 21st century’ by ...