The Portland Big Data User Group brings together those using or interested in Apache Hadoop, related projects, and Big Data in general.
Aditya Kishore View Bio
Time to value is everything.
With the emergence of new data sources such as web logs, social media, mobile applications and sensor data, organizations are looking extend BI by providing insights into new areas such as operational performance, product optimization and customer satisfaction.
However, traditional data management processes simply don’t work in this new world of big data. Organizations now not only have to manage higher volumes of information, but the data itself arrives at faster rates in real time and is more complex, dynamic than traditional transactional datasets. To be useful, this data must be analyzed in much more shorter intervals than traditional reporting cycles of weeks and months.
In this session, we will see how Apache Drill is driving this audacious goal to bring Self Service data exploration to Hadoop/NoSQL data, by letting users explore any type of data, immediately as it comes in, using the ANSI SQL language/SQL tools they are already familiar with. We'll see Drill in action on a live Hadoop cluster.
Aditya Kishore is a software engineer at MapR Technologies, where he works on Apache HBase, MapR-DB, Hadoop security, and Apache Drill. He has over nine years of experience in product development, with expertise in multiple programming languages such as Java, C/C++, and scripting languages. Prior to MapR, Aditya worked at Novell as a software engineer on the infrastructure team. Earlier in his career, Aditya worked with several small businesses as a freelance software developer. Aditya holds a Master of Computer Applications degree from the National Institute of Technology in Trichy, India, as well as a Bachelor of Science in Computer Applications from St. Xavier’s College in Ranchi, India.