On our previous video on the basics of Nifi, we covered a brief definition of Nifi, how flows are built, and the different types of processors that can be used. We also stepped through a very basic flow that pulls lines from a file and pushes them into AWS. Next

There is a massive shift in mentality surrounding deployment and system maintenance. With cloud services handling the bulk of our DevOps for a fraction of the cost, companies are moving whole environments into the Cloud. But just how far can we take this? In the Amazon Webservices EcoSystem, we have

In our previous article on Nifi, we discussed the history, architecture, and features of Apache Nifi. This series will demonstrate the basics of how to create a dataflow within Nifi and the various ways to manipulate the data being ingested. Installation Instructions for downloading and starting Nifi can be found

With a Spark 2.0 release imminent, the previously experimental Datasets API will be a core feature. Spark Datasets were introduced in the 1.6 release as a bridge between the Object Oriented type safety of RDDs and the speed and optimization of Dataframes utilizing Spark SQL. Databricks has stated