Featured Content from Nik Rouda

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[ESG Blog] The Big Data Bubble Rises

As the father of two girls, I have deep appreciation for a fascination with bubbles. They are easy to make, they're shiny, and they float carelessly with the breeze. That said, a big bubble is much harder to create and more fragile than dozens of little ones. The loss is felt more acutely. Big data is not a big bubble.

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[ESG Blog] The Big Data Bubble Rises

As the father of two girls, I have deep appreciation for a fascination with bubbles. They are easy to make, they're shiny, and they float carelessly with the breeze. That said, a big bubble is much harder to create and more fragile than dozens of little ones. The loss is felt more acutely. Big data is not a big bubble.

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[ESG Blog] Highlights from Spark Summit East

Over the last couple of days, I've enjoyed meeting with business and technology leaders around Apache Spark. Hosted in Boston this time, the Spark Summits in general have become great forums to learn about what's new, what's working, and what's coming up next. Here are my quick takes if you weren't able to attend (and missed the thunder snowstorm, WHAT?!?) Highlights included...

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here

[ESG Blog] Highlights from Spark Summit East

Over the last couple of days, I've enjoyed meeting with business and technology leaders around Apache Spark. Hosted in Boston this time, the Spark Summits in general have become great forums to learn about what's new, what's working, and what's coming up next. Here are my quick takes if you weren't able to attend (and missed the thunder snowstorm, WHAT?!?) Highlights included...

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[ESG Blog] 2017 Big Data & Analytics Predictions: Part 3: Pipelines

What's coming down the pipe in 2017? The pipe itself. Expect even more gains around streaming data pipelines, not merely for analytics but for processing too. Market conditions are right and offerings are hitting the needs of more enterprise use cases.

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[ESG Blog] 2017 Big Data & Analytics Predictions: Part 3: Pipelines

What's coming down the pipe in 2017? The pipe itself. Expect even more gains around streaming data pipelines, not merely for analytics but for processing too. Market conditions are right and offerings are hitting the needs of more enterprise use cases.

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[ESG Blog] 2017 Big Data & Analytics Prediction: Part 2: Machine Learning (Video)

It doesn't take a supra-genius AI to predict that machine learning will continue to get better this year. Yet, there is a disconnect between the public Hollywood view of technology and the current limitations. Check out the video below for my ideas on how the gap will begin to narrow.

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[ESG Blog] 2017 Big Data & Analytics Prediction: Part 2: Machine Learning (Video)

It doesn't take a supra-genius AI to predict that machine learning will continue to get better this year. Yet, there is a disconnect between the public Hollywood view of technology and the current limitations. Check out the video below for my ideas on how the gap will begin to narrow.

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[ESG Blog] 2017 Big Data & Analytics Predictions: Part 1: The Cloud (Video)

It still feels strange to write "2017" on checks, but that's probably because checks are a financial anachronism at this point. In any case, a new year is well upon us, and that means we need to be looking forward to the three biggest big data and analytics trends that will impact our industry of insights. First in the series today is all about the public cloud. Watch the video below for my hot take.

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[ESG Blog] 2017 Big Data & Analytics Predictions: Part 1: The Cloud (Video)

It still feels strange to write "2017" on checks, but that's probably because checks are a financial anachronism at this point. In any case, a new year is well upon us, and that means we need to be looking forward to the three biggest big data and analytics trends that will impact our industry of insights. First in the series today is all about the public cloud. Watch the video below for my hot take.

2017 Predictions for Big Data (Part 1)

 
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For now, launching with an open source product seems like a smart approach, and Nik Rouda an analyst at Enterprise Strategy Group has the data to back up that notion. “In our research, more than 90% of those responsible for big data strategies said they valued their vendors’ active participation in open source, and 24% said they wanted a purely open source distribution for Hadoop environments.”

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