What is Hadoop? Organizations including eBay, Facebook, Amazon, Twitter and the New York Times utilize open source Hadoop to get the most out of their data, and this week there’s been interest around Facebook’s data analysis. The Diffusion of Support in an Online Social Movement analyzes factors that predict social support on Facebook, and following the Supreme Court’s decision regarding same-sex marriage on Friday, Facebook saw over one million users implementing their rainbow filter within the first few hours of its availability. This mass activity raises questions around what leads people to participate in social change, and research of the data provides some understanding of social influence and solidarity among users.
(Infographic Source: ikanow.com)
Some predictions have 75% of the Fortune 2000 running a 1,000-node Hadoop cluster by 2020, but ensuring your business is getting the most from Hadoop is a lot of work. Spending time learning how to best implement and use Hadoop slows the benefits organizations could be gaining from the actual study of the data, and so startups providing simplified Hadoop solutions are in demand. AtScale recently raised $7 million in capital, and founder Dave Mariani believes they’ve built a “true business interface for Hadoop.”
LinkedIn is another company offering its own data-processing solution. open source Pinot, designed to run at scale, stores, and analyzes data, and Hadoop is one of its data sources. With low latency and near-real-time results, Pinot allows LinkedIn to process “billions of events per day” and supply “thousands of queries per second”. With the project going open source, the benefits can be relayed to the general market.
Last year, Oracle estimated that data was growing at a compounded rate of 40% per annum; set to reach 45 zettabytes by 2020. Hadoop’s open source framework lets you store vast amounts of data on many commodity computers without the need for hefty and costly data stores, and allows you to query big data sources to find trends and valuable business information. While the advantages of efficiently utilizing big data are evident, making the shift to Hadoop might seem daunting. The Essentials of Business Intelligence/Big Data – Summer 2015 Exclusive Kit takes a look at big data and the six factors for Hadoop proof-of-concept projects. Included are a couple of excellent videos looking at big data, keeping it simple with Hadoop, and driving healthy outcomes with big data. So what’s Hadoop? keep visiting to find out…
By Jennifer Klostermann