Join us at our HPCC Systems Big Data Analytics Workshop
|Date of the event||Thursday 17th January 2019, 3-6pm|
|Location||L1, Andrew Wiles Building, Mathematical Institute, University of Oxford|
|Hosted by||Oxford Nie Financial Big Data Lab, Mathematical Institute|
The following instructors will be on site for the duration of the event: Dan Camper, Lily Xu and Brian Bounds. Find out more about our instructors
|What you need|
|Internship Opportunities||Find out more about the HPCC Systems intern program|
What can I do to prepare?
We have many resources available for you to use to familiarise yourself with our technology and how to use it. If you are new to us, then take some time to find out about HPCC Systems and what we do. Find out how HPCC Systems works, what ECL is and take a look at what goes on in our community.
- Watch a quick overview video about HPCC Systems
- Download the HPCC Systems VM. Select the operating systems you are using first and then check the VM download. Follow the installation guide instructions.
- Note: We will be using a cloud-based HPCC Systems cluster for the workshop.
- You can use your preferred editor to write code but we do have our own, a Windows-based ECL IDE which you can download. On the download page, select Gold and under Operating System, select Windows. Download both the ECL IDE and Client Tools.
- VS Code is a good code editor if you don't use Windows. Installation is slightly more complicated see below and also this cheat sheet:
- Download and install VS Code from here if you don't already have it installed.
- Download the HPCC Systems Client Tools from here.
- Choose your operating system from the popup list.
- Choose the appropriate "Client Tools" option for your operating system. Make sure only one checkbox on the entire page is selected.
- Download and install.
- Launch VS Code, then search for and install the extension named "ECL (Enterprise Control Language) support for Visual Studio Code".
- Once you’re up and running, try out a few examples from the installation guide and tutorials.
- Learn some ECL. This is the language used to write queries. It's easy to use, try it for yourself. Read the documentation or take a training course.
- Take a look at some video tutorials
- Take a look at the information and training examples in this GitHub repository. In particular, please look at the Taxi_Tutorial where you will find the DataSeers contribution which provides examples showing some basic ECL functionality in action.
- Take a look at our Machine Learning Documentation and Sources.