How to optimise your virtual environment

See the next generation of Big Data Analytics using Jaspersoft. See and learn how Jaspersoft’s flexible connectivity and intuitive visualization tools can turn your Big Data ideas into a reality. See how you can improve your reporting and analytics solution and get access to actionable data. Join us for one hour and watch how Jaspersoft can transform your business with reporting and analytics.

Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems.

"Data is the new science. Big Data holds the answers." - Pat Gelsinger, the CEO of VMware, Inc. Organizations use their data to support and influence decisions and build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. Apache Spark is a fast and general engine for large-scale data processing ,built around speed, ease of use, and sophisticated analytics. It was originally developed at UC Berkeley in 2009.Spark is a good fit for the Hadoop open-source community as its built on top of the Hadoop Distributed File System (HDFS).

While anyone can offer their team cloud training through a set of curriculum, the real challenge is being able to tie learning back to potential business results. With technology constantly changing, organizations need to find ways to assess the capabilities of their teams while discovering how to best train them for upcoming projects. Our end-to-end analytics and skill assessment platform provides senior leadership and corporate learning departments the needed visibility to take a quantified, data-driven approach to understanding organizational capabilities, including identifying skills gaps, addressing training opportunities, and performing ongoing assessments to measure competency.