On the data analytics front, profound change is in the air, and open source tools are leading many of the changes. Sure, you are probably familiar with some of the open source stars in this space, such as Hadoop and Apache Spark, but there is now a strong need for new tools that can holistically round out the data analytics ecosystem. Notably, many of these tools are customized to process streaming data.
The Internet of Things (IoT), which is giving rise to sensors and other devices that produce continuous streams of data, is just one of the big trends driving the need for new analytics tools. Streaming data analytics are needed for improved drug discovery, and NASA and the SETI Institute are even collaborating to analyze terabytes of complex, streaming deep space radio signals.