Labs

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MongoDB vs Cassandra

On the rare occasion that I walk into the engineer pit I am usually hard-pressed to be acknowledged with more than a grunt, smile and a quick glance away from the computer screens. I get it though, "plugged-in" engineers are focused creatures with little to no tolerance for outside distraction. Recently however, I was surprised by the heated discussion I...

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Data Science: The Endless Possibilities

With continuing advancements in computational power and the collection and processing of data, the world is seeing new and exciting uses for data analytics. From charitable ventures to "smart" homes, the FIFA World Cup and climate change, the examples are endless. Here are a few of my favorites: Help for distressed teens: Started by Nancy Lublin, the Crisis Text Line (CTL)...

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Big Data – Big Questions

With the advancements in civilization and technology, we are now seeing the world’s digital data double almost every three years. This exponential growth is leading to innovations and improved efficiencies across multiple industries. When talking about large amounts of data we hear things like machine learning, deep learning, data mining, data lakes, batch and real-time processing, but what do these terms...

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Inside the mind of a Data Scientist:

  This week, we went around the office and asked all of our engineers and data scientists one question: “What does data science mean to you?”. Stay tuned for that full post next week. One of our data scientists with a specialization in machine learning took the topic home and wrote in an email response. Read below to get inside the mind...

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Big Data: To Build Or Not To Build?

Searching the Internet, I was surprised to find a lack of complete build versus buy articles published on big data. There were plenty of technical papers, there were several high level articles on the cost of hardware, but no single research paper that looked at all of the various costs when deciding whether to build your own big data solution...

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The Big Data Balancing Act: Flexibility, Power and Accessibility

With the democratization of data, the winners will be those who deliver actionable insight. In an ideal world, big data means business questions can be answered with facts and observations, rather than guesses and hunches. This is why the democratization of data is seen as the holy grail of data tools. You can make a good case that democratizing data is the goal of anyone...

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What does SaaS mean in our world?

One of my favorite blogs is (www.saastr.com), which is run by Jason Lemkin, a serial entrepreneur turned VC.  A key part of the blog’s appeal is every post brings us one step closer to understanding what SaaS truly means. People automatically assume SaaS has to be software hosted in someone else’s environment. The notion it has to be hosted software is...

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Doing the impossible…

“Any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clark One of my favorite technology quotes. When I stand back and visualize the future of our world I dream of that moment, when technology stops being technology. When technology becomes something greater to our everyday lives. It not only changes the way we do business, but it...

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Why would anyone ever study mathematics?

The eternal questions that follow nearly all students of the discipline of mathematics: “why would you ever study math? What on earth would you ever do with a math degree? When do you start teachers' college?” Each question is more infuriating than the last. But over the years I grew to understand why people ask these questions – they aren’t...

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