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Author: admin

Unearthing big myths about big data

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Blogs

Big data is all the rage these days. But Insead Professor Joerg Niessing says the term is misleading. And that’s only the first of many myths that can lead companies astray, as they consider the vast storehouses of data that technology can amass and help sort. More>>

Microsoft to offer three new ways to store big data on Azure

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Microsoft will soon offer three additional ways for enterprises to store data on Azure, making the cloud computing platform more supportive of big data analysis. Azure will have a data warehouse service, a "data lake" service storing large amounts of data, and an option for running "elastic" databases that can

Rocana Lands $15M To Bring Big Data Analysis To IT Ops

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Rocana (formerly ScalingData) announced $15 million in Series B funding led by Google Ventures with General Catalyst Partners, Toba Capital and Paul Sagan (former chairman at Akamai and current executive in residence at General Catalyst) also contributing. More>>

The top 3 qualities of a great data scientist

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Articles

With a growing demand for efficiency and accuracy, comes a growing demand for stellar data scientists. In fact, as of March 2015, there are over 60,000 job postings for data scientists on LinkedIn, and over 250,000 people listing data science as their profession. More>>

Microsoft Aims for Amazon with Elastic SQL #Build 2015

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Articles

Hey Amazon, can Redshift do this? We know the kinder, gentler, “we play nice with everyone” Microsoft would never egg AWS boss Andy Jassy on like this, but here's the deal: Today at Build 2015, Microsoft executive vice president for cloud and enterprise Scott Guthrie made a whole slew of

Hadoop 2.0’s deep impact on big data and big data technologies

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Businesses that ventured early into big data territory leaned on cloud computing for their Hadoop pilot projects, but that's changing, according to Merv Adrian, analyst with Stamford, Conn.-based Gartner Inc. These days, his clients are increasingly asking how to deploy Hadoop on-premises. More>>

Building Blocks For A Scale-Out Data Lake With EMC And Pivotal

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The rapid growth of unstructured data represents a significant challenge for many enterprises across a wide range of industries today. As the volume and sources of data have expanded dramatically, traditional techniques to store and analyze information have proven to be too expensive and too slow to handle the massive

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