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?
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?
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.
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.