Data Masters and Data Analytics Folk!
This meetup is proudly sponsored by Talend at York Butter Factory.
Topic of the Night – 'Simplifying data pipelines with Talend'
Sponsor of the night is our friends at Talend, their first sponsorship (look fwd to many more to come) on all things data with a side of pizza & beer on Thursday, 24 August.
In this session, we will discuss the challenges associated with building big data pipelines and how they can be overcome. Specifically, we will cover:
- The short term challenges with data pipelines
- The long term challenges associated with maintaining those pipelines
- An introduction to Apache Beam
- A brief history of Talend and data integration
- A live demonstration to demonstrate the ease of utilising big data with Talend.
The live demo will cover how to:
- Build a simple end to end architecture
- Build and automate data integration with Spark
- Simplify data projects at an enterprise scale
More on the speaker:
A Presales Consultant at Talend, Marko brings years of experience working with customers across multiple industries, and helping them with their journey to becoming data driven businesses. In recent years Marko has particularly focused on data science but with the holistic view of treating data as an asset that must be taken care of from collection right through to the deployment of advanced analytics and the actions that are taken by a business as a result. Outside of the office, he likes to spend time with his family as well playing soccer, table tennis and cycling.
5.30pm - 6:00pm Open
6.00pm - 6.10pm Welcome
6.10pm - 6.40pm - Simplifying data pipelines with Talend – Part 1
6.40pm - 7.00pm - Networking/Food and Drink (20 mins)
7.00pm - 7.30pm - Simplifying data pipelines with Talend – Part 2
7.30pm - 8.30pm - Networking and close meetup
It's going to be another great meetup on Thursday, 24 August, this time with Talend, so please invite a friend or two (or three) to join the meetup group, RSVP this meetup, participate, network, eat some pizza with a side of beer and most importantly wear your data and use case that (regardless if your hat reads Newbie or Guru).
Till then, ciao for now folks,