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?
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?
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?
Market Basket Analysis gives retailers the opportunity to find correlations of items in shopping carts in order to find strong correlations. Why might a retailer choose MBA to analyze point-of-sale data? Read on for further details on the benefits of using Market Basket Analysis as a retailer.
What would you say if I told you that your marketing and IT departments need to cozy on up together to achieve your goals? Two areas that were black and white in a traditional world are now gray and fuzzy in a digital one. Smart companies are harnessing the power of a modern data architecture (that’s right - Big Data) to gain insights into their customers’ ideas, behaviors, and actions.
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.
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 ask yourself, “What decisions could I be making better if…
Utilizing Apache tools Spark, Livy, and Zeppelin, together, can be very powerful in helping to tackle machine learning and data science.
In this article we will discuss one of the 3 V's of Big Data: Volume.
Jeremiah Evans reviews the 3 V's of Big Data and how you can tackle them one step at a time.