This past May, I was one of three panelists on the “10 Things You Need to Know about Data & Data Infrastructure” panel at the Interop ITX conference in Las Vegas, which offered a full IT stack of tracks covering infrastructure, cloud, security, data & analytics, DevOps, and leadership development. I thought I’d share • Read More »
Spark Summit is a massive event, especially when you consider that it’s focused around a single product in the technology industry. Spanning 3 days of activities, presentations, networking events and get-togethers it is a truly exhaustive experience for someone interested in big data, data science, machine learning and a host of other practices and buzzwords. • Read More »
You’ve just learned about a new streaming data processing technology that would solve many of the technical challenges you are experiencing within your organization today. Unfortunately, it would require significant time and budget to integrate and operationalize within your current solution. Enter Apache Beam. According to the main website, “Apache Beam provides an advanced unified programming • Read More »
The second episode of our thought-leader podcast, Blueprint and Bourbon, is now available. Listen to hear how our own game-changers would invest $100 million, if given the opportunity, in AR and VR.
In a previous blog post, I talked about demo driven development and focusing on demonstrating business value when pursuing development efforts with new technology. If you are an organization that is focused on service based delivery, you may find yourself having to demonstrate your capabilities to deliver a potential solution to a problem that hasn’t • Read More »
Technology alone does not solve problems. Back in 2014 at Techonomy, Jack Dorsey, the cofounder of Twitter and Square, put it very well: “To me, technology fundamentally is just a tool. It’s up to us to figure out how to use those tools and how to apply those tools”. In theory, this view of technology • Read More »
During a local Spark meetup, I was introduced to the Databricks Community Edition. Within the Spark community, Databricks is well-known, so I was excited when I got my early invite to try out the Community Edition. This brief article will be a mix of overview, step-by-step instruction and opinion. However, by the end, you’ll have • Read More »
In the first part of our Machine Learning series, we illustrated the broad concept of machine learning by taking a little bit of Twitter, mixing it with some machine learning goodness and creating a web application that, based upon the user’s personal tweets, recommends Twitter accounts the user should follow. What sort of machine learning wizardry • Read More »