This is the Part II of my blog series that simply distils the key terminology of Big Data (see Part I here). These are the remaining 16 key concepts that you should understand if you want to learn more about Big Data. Structured Data Structured data is data that can be arranged neatly into charts and tables consisting of rows,
If you Googled “metadata” and found this article, you used metadata. When you bought your mother a gift from Amazon, you used metadata. Did you just reconnect with a colleague via LinkedIn? Metadata was at work. Your afternoon Spotify fix? Yes, you guessed it; you used metadata. But what is metadata? Quite simply, metadata is data that describes other data.
How valuable would it be to know everything about your customer’s interactions with your competition? Creating a 360-degree customer view is considered the holy grail of customer intelligence, and you can create it, today. Would you like to know how much they’re spending, when they’re spending, why they’re buying with the competition and not you and, what drives their purchase
Every organization collects, stores and retains portions of dark data. It’s the digital equivalent of emotional baggage which hangs around after every user interaction, transaction, and customer engagement. In fact, not using data effectively is costing United Airlines almost $1 Billion annually in lost revenue. Gartner Inc. describes dark data as “information assets that organizations collect, process and store in the course