Sunday, February 7, 2016
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Big Data

Looking ahead at Big Data

It’s the week for predictions, as we start a new year and look ahead at what is in store for the cloud. Yesterday, we discussed 2016 from a managed services perspective and today I want to look at the upcoming trends around big data.

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Big Data can make our wildest dreams a reality

Big Data Wildest Dreams

According to a number of statistical reports, the amount of digital data we produce is expected to double every year. That means the amount of digital data in the world will exceed 44 zetabytes by the end of 2020 – nearly 5,200 GB for every woman, man and child on earth. With this excess of transient data in the world, …

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Make big data small with the right toolset for your business

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It is widely accepted that 90% of the world’s data has been created in the last two years alone. So it’s no wonder that analyzing and storing such astonishing amounts of data is still a relatively new challenge. As Dr. Mark Kennedy, Director of the KPMG Centre for Advanced Business Analytics at Imperial College Business School said at a recent …

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Big data predicted to be a $50 billion industry within five years

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A recent forecast from research firm International Data Corp (IDC) made a bold prediction: big data spending will reach $48.6 billion by 2019. IDC separates the big data market into three major submarkets: software, infrastructure and services. It predicts that collectively they will grow at a compound annual growth rate (CAGR) of 23%. Software– including information management, discovery, analytics, and …

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When it comes to Big Data deployments, know your options

Three colorful arrow signs reading Good, Better, Best, offering help and decisions on comparison shopping or traveling and looking for the ideal route

In his book, Digital Exhaust: What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation, David Neef offers three options (highlighted in this recent TechTarget article) for building a big data system: Do-it-yourself ‘build-on’ to a company’s current enterprise IT structure Run parallel database frameworks Let someone else do it in the cloud. I would argue there is …

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Datapipe at re:Invent

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Datapipe is headed to Vegas next week for AWS re:Invent 2015! The event is designed to bring together the cloud computing community for a week filled with collaboration and best practices regarding AWS. Whether you are going to be onsite or keeping up on the event activity from afar, there are a number of ways to connect with Datapipe during …

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Datapipe partners with DataStax to simplify data analysis for the enterprise

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As an industry leader, we pride ourselves on partnering with like-minded, innovative organizations; companies that are also experts in their fields, who can work with us to provide our customers with the very best in custom solutions, managed services, security, and reliability. Today we are excited to announce we are teaming up with DataStax, the company that delivers Apache Cassandra™ to …

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How To Successfully Implement a Big Data Project in 8 Steps

Cloud-based analytics rapidly becoming the norm

There are countless ways to incorporate Big Data to improve your company’s operations. But the hard truth is that there’s no one-size-fits-all approach when it comes to Big Data. Beyond understanding your infrastructure requirements, you still need to create an implementation plan to understand what each Big Data project will mean to your organization. At a minimum, that plan should …

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