The big data steam roller continues to move forward, but if you take a brief step back, how would you define “big data?” UC Berkeley’s new Master of Information and Data Science program decided to settle the question once and for all, and proceeded to ask 40+ thought leaders.
In this special guest feature, Jesse Anderson from Cloudera writes about his perspectives on becoming a computer programmer including education, aptitude and other musings. As an extra bonus check out the tutorial video at the end of the article.
Apache Spark has had an amazing year, and the people behind the open source large-scale data processing engine have pulled some data to show just how fast it has grown in the last 12 months. Databricks, who spun out of AMPlab at UC Berkeley after creating Spark produced the infographic below that highlights some of the data, especially as it catches fire across the industry.
The Hadoop Buyer’s Guide by Robert D. Schneider, author of Hadoop for Dummies, is an invaluable resource for those investigating or evaluating Hadoop—from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success.
Glassbeam, Inc., the machine data analytics company, has announced significant new momentum with $2 million in additional funding. The investment, led by VKRM Group, a boutique venture capital firm investing in entrepreneurs building innovative and industry-leading businesses, will be used to continue the refinement of its unique, patentable Internet of Things (IoT) platform – Glassbeam SCALAR.
Prelert, the anomaly detection company, today announced the release of an Elasticsearch Connector to help developers quickly and easily deploy its machine learning-based Anomaly Detective® engine on their Elasticsearch ELK (Elasticsearch, Logstash, Kibana) stack.