Understanding Big Data
This is Part 2 of Data Strategy series discussing “How To” following Part 1 of Data Strategy that dealt with “5 ‘W’s of Data Strategy”. Strategy is about doing the right things and tactics is about doing things right. Data Strategy is about doing the right things to distill Data
One of the coolest things about being a data scientist is being industry-agnostic. You could dive into gigabytes or even petabytes of data from any industry and derive meaningful interpretations that may catch even the industry insiders by surprise. When the global financial crisis hit the American market in 2008, few
I am sure you’ve come across many 2016 statistics on Data and Analytics as I have. I’d like to use couple of statistics from IDG’s Enterprise 2016 Data & Analytics Research to start this article. As per their research, 78% of enterprises agree that data strategy, collection & analysis of big
Metadata. You may have heard the term before, and may have asked yourself either “what is metadata” or “why is it as important as data?” This article will be an attempt to clear up those two subjects. As this can often be quite dense, let’s jump right in! Metadata can
Another year, another stellar run for the tech world’s darling – data. Big Data analytics and Business Intelligence are both fueling the growth of Enteprises all over the world, and also getting heavy investment within the Big Data market. The ability to gain insights laying dormant in unstructured data is enabling organizations to compete and
The all flash array (AFA) market is quickly growing, bringing with it high expectations for transforming data centers. But switching to all flash can be fraught with obstacles, including silos, over-promised and under-delivered data reduction and high disaster recovery costs. When considering a move to all flash, it is important
Meet Ami Gal, Data Natives Tel Aviv 2016 Speaker Ami Gal is the CEO and Founder of SQream Technologies, a big data startup based in Tel Aviv, Israel. Ami is an expert when it comes to big data and will serve as a speaker during Data Natives Tel Aviv 2016.
Big Data. It’s everyone’s favourite buzzword. The Big Data trend has the potential to revolutionise the IT industry by offering businesses new insight into the data they previously ignored. For many, it is seen as the Holy Grail for businesses today. For organisations, it’s the route towards better understanding exactly
In the world of data analysis, one tool is often left unused. While being a very powerful analytics tool, cohorts are often pushed aside due to their seemingly complex nature. With a lot to offer in the way of data analysis, let’s take a deeper (yet simplified) look into cohorts.
Data scientists suffer needlessly when they don’t account for the time it takes to properly complete all of the steps of exploratory data analysis There’s a scourge terrorizing data scientists and data science departments across the dataland. This plague infects even the best data scientists, causing missed deadlines, overrun budgets