NiFi vs. Kafka… Or Is It?
With all of the exciting new tools to analyze and look at data, it's easy to get swept up and forget about a very important part of the process. Getting data to those tools! That…
What Makes Insights-Driven Organizations Different?
If you can’t stand the heat Summer is finally upon us. After an eternal winter and classic spring indecisiveness, temperatures have reached what some would consider “warm” here in the midwest. And that means it’s…
Business Intelligence Tools: Starting with Power BI
With the continued growth of machine learning and artificial intelligence, there is a constant need for reports, dashboards, and other ways of visualizing data. Whether you are downloading CSV files or connecting to a complex…
TensorFlow: Introduction & Effective Implementation
In this post I will discuss some important points of TensorFlow; namely what is it, how it works, and how easily it can be used in production environments with Keras and eager processing. Enterprises that…
Eating the Elephant: Putting it All Together
We’ve seen how what has traditionally been thought of as “big data” has evolved to encompass techniques and technologies that can benefit any company and prepare them for the future. What could an example project look like?
Why All The Hype Around Cloud?
When you start down your cloud journey, all of the unanswered questions can be overwhelming. “How do I choose the right vendor? Do I just do a “lift and shift” on IaaS (Infrastructure as a Service), or is it better to implement a PaaS (Platform as a Service) option?
Modernizing Your Data Architecture
What exactly is a Modern Data Architecture, and, more importantly, do you need one? What makes a Modern Data Architecture different from existing reporting and analytic environments?
The Changing Landscape of Data – Part IV
In this article we will discuss the importance of not filtering out data just because it doesn’t look like any other data we have, and how to quickly leverage multiple sources to derive business insights.
The Changing Landscape of Data – Part III
Eating the Elephant - Velocity So far in this series we have introduced the “3 V’s” of Big Data: Volume, Velocity, and Variety, focusing on Volume. Recall that in the introduction we encouraged you to…
Spark up the Integration of Zeppelin and Livy
Utilizing Apache tools Spark, Livy, and Zeppelin, together, can be very powerful in helping to tackle machine learning and data science.