Apache: Big Data 2016

With data becoming more and more prevalent along with a requirement to store it managing it becomes a ever greater problem. How can Apache OODT fill that void?

Apache OODT is a distributed data processing and management platform. In this talk we’ll go through installation and configuration. How to start a project, deploy and test a project. We’ll run through the various components you’re likely to use, how to customise them and make your users embrace data management. We’ll also take a look at workflows, resources and how to build simple workflows. During this presentation we’ll also connect Apache OODT to a number of different data sources to demonstrate data ingestion and metadata capture. Finally, of course it’s all well and good capturing data, but how do you get data out to your end users? We’ll go through the options for data extraction and dissemination to end users.

How do you find the needle in the haystack?

With Big Data, finding insight is a big problem. Visualization and exploratory analysis help convert on insights and Apache Zeppelin (incubating) is an essential tool for that.

In this tutorial, Felix Cheung will introduce you to Apache Zeppelin, and provide step-by-step guides to get you up-and-running with Apache Zeppelin to run Big Data analysis with Apache Spark.

This is going to be a heavily hands-on session, no previous experience with Zeppelin, Data Science, or Statistics necessary. Bring your laptop - attendees are expected to be able to handle some software installation steps.

You can view the materials here:
http://www.slideshare.net/felixcss/interactive-data-science-from-scratch-with-apache-zeppelin-and-apache-spark