5 Steps to Wrangle Uncontrolled Data Flow

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Step 1: Stock Your Data Lake

You may not yet know the value of all the data available to your organization, but it's time to start capturing as much as possible for future initiatives. Data lakes are purpose-built to store and process large volumes and varieties of data in today's Big Data world. A data lake's efficiency comes from its inverse approach to data storage. Rather than enforce rigid schemas upon arrival as traditional data warehouses and relational databases do, data lakes allow all types of data, structured and unstructured, to exist, unconstrained, in raw format. This approach defers the time-consuming task of data modeling until a time when the enterprise has a clear idea of what questions it would like to ask of the data.

Data is everywhere. Close inspection of a runner's shoes, a dog's collar, a prescription bottle, or even a keg of beer could reveal a flow of hidden data. And if your local pub isn't analyzing beer consumption through connected kegs today, it likely will be tomorrow. Analysts predict that the Internet of Things (IoT) will grow to encompass as many as 200 billion connected devices by 2020.

Couple the exploding IoT with other exploding data sources such as specialized cloud applications, social media feeds and mobile devices, and it's clear that there is no shortage of data for businesses to mine. Unfortunately, just as businesses have more data than ever to monetize, the data itself is becoming increasingly uncooperative as it ramps up in volume, variety and velocity — with no end in sight.

As the availability of data exponentially increases, unprecedented opportunities exist to do all kinds of amazing things: monitor illegal deforestation, improve population health, reduce traffic jams — and, yes, sell more beer. But with these unprecedented opportunities come unprecedented data wrangling challenges.

So how do you turn opportunity into insight? In this slideshow, Rob Consoli, senior vice president of sales and marketing, North America at Liaison Technologies, has compiled five tips on how to wrangle uncontrolled data flow in your enterprise.


Related Topics : Business Intelligence Vendors, Data Quality, Data Warehousing, Key Performance Indicators, Knowledge Management

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