Many of us have been learning more about the data lake, especially in the last 6 months. Some suggest that the data lake is just a reincarnation of the data warehouse—in the spirit of “been there, done that.” Others focus on how much better this “shiny, new” data lake is, while others are standing on the shoreline screaming, “Don’t go in! It’s not a lake—it’s a swamp!” All kidding aside, the commonality I see is that they are both data storage repositories. Beyond that, the table below highlights some key differences. This is, by no means, an exhaustive list, but it does get us past this “been there, done that” mentality. A data lake is not a data warehouse.
While there’s no question that the buzz of “big data” is still going strong, how well is big data actually catching on? To answer this question, we’ll review some of the recent research to see what’s trending in the world of big data.
Big Data has become one of the key buzzwords for businesses everywhere over the last few years. With data of all kinds being produced in record amounts every year, collating and analyzing this information will give businesses more insights than ever before into their customers, their industries as a whole and perhaps even let them predict what might happen in the future.
This week I moderated another Social Media Today webinar as part of their Best Thinker webinar series, this time on the topic of: Stop Drowning in Digital Data: Social Listening for Campaign Measurement. This webinar was sponsored by Brandwatch and featured panelists from Brandwatch, Sony Electronics, and Visa. We discussed why, and most importantly what, you should measure for your campaigns.
The quickest way to make a CMO roll their eyes is to tell them they should be making more data-driven decisions. Of course we should, everyone knows that. Unfortunately there are a lot of “buts” attached to making this a reality.
Big Data as a concept is characterized by 3Vs: Volume, Velocity, and Variety. Big Data implies a huge amount of data. Due to the sheer size, Big Data tends to be clumsy. The dominating implementation solution is Hadoop, which is batch based. Not just a handful of companies in the market merely collect lots of data with noise blindly, but they don't know how to cleanse it, let alone how to transform, store and consume it effectively.
This week I moderated another Social Media Today webinar as part of their Best Thinker webinar series: Transforming Data Noise Into Data Intelligence. We discussed how to develop a framework to understand big data and how to create a data strategy that gives you a competitive edge!
By 2017, Gartner says that 25 per cent of organizations will have a Chief Data Officer. In industries where regulatory compliance is key, the figure is expected to be much higher, perhaps even 50 per cent. If your business collects data, stores it and uses it to determine strategy, a Chief Data Officer could be the key person who will commit to high data quality across the business.
SXSW is filled with sessions. The Interactive part of SXSW boasts more than 800 total sessions across Austin during the event. This isn’t counting speakers, exhibits, networking events and the countless other activities, panels and discussions occurring during SXSW Interactive. And even though...