Name: Join us for our first Kafka Meetup in Leeds
Start: 2018-03-14T18:00:00Z
End: 2018-03-14T21:00:00Z
Location: Sky Betting and Gaming

• What we'll do
Join us for our First Leeds Apache Kafka meetup on March 14th from 6:00pm hosted by Sky Betting and Gaming in Leeds. The agenda, venue and speaker information can be found below. See you there!

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Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Networking, Pizza and Drinks
6:30pm - 7:15pm: Look Ma, no Code! Building Streaming Data Pipelines with Apache Kafka and KSQL, Robin Moffatt - Confluent
7:15pm - 8:00pm: Full Stream Ahead!, Ashley Broadley - Sky Betting & Gaming
8:00 pm - 8:15pm: Additional Q&A and Networking

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Title:
Look Ma, no Code! Building Streaming Data Pipelines with Apache Kafka and KSQL

Abstract:
Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again!

Companies new and old are all recognising the importance of a low-latency, scalable, fault-tolerant data backbone, in the form of the Apache Kafka streaming platform. With Kafka, developers can integrate multiple sources and systems, which enables low latency analytics, event driven architectures and the population of multiple downstream systems. These data pipelines can be built using configuration alone.

In this talk, we’ll see how easy it is to stream data from a database such as Oracle into Kafka using the Kafka Connect API. In addition, we’ll use KSQL to filter, aggregate and join it to other data, and then stream this from Kafka out into multiple targets such as Elasticsearch and MySQL. All of this can be accomplished without a single line of code!

Why should Java geeks have all the fun?

Speaker:
Robin Moffatt, Confluent

Bio:
Robin is a Partner Technology Evangelist at Confluent, the company founded by the creators of Apache Kafka, as well as an Oracle ACE Director. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop, and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization. He blogs at https://www.confluent.io/blog/author/robin/ and http://rmoff.net/ (and previously http://ritt.md/rmoff) and can be found tweeting grumpy geek thoughts as @rmoff. Outside of work he enjoys drinking good beer and eating fried breakfasts, although generally not at the same time.

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Title:
Full Stream Ahead!

Abstract:
How the Promotions Tribelet at Sky Betting & Gaming plan to go faster, why it's important to keep reassessing your previous choices and why Kafka is integral to our future plans. A little story about what we've learnt and what it takes to affect change.

Speaker:
Ashley Broadley

Bio:
Ash is a Principal Engineer at Sky Betting & Gaming. Starting off as a standard LAMP Engineer, introduced to Real-Time data processing in 2016, his world changed as he was blown away by the capabilities that Kafka offers. Leading the technical side of the Promotions API & Messaging API services, aiming to build Real-Time data models based on Apache Kafka.

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The full address for the venue is:

Sky Betting & Gaming
3rd Floor
6 Wellington Place
Leeds
LS1 4AP

For people who have visited the Sky Betting & Gaming offices previously, this is our new building.

There is wheelchair access. There is basic seating, an accessible toilet, a gender neutral toilet, and general car parking. There is a designated quiet space by request in advance. This isn’t a hearing loop, or a bsl interpreter. There is a level route from the NCP car park (which has limited accessible parking spaces), CitiPark, and the train station. The venue is on the 3rd floor with multiple lifts available.

Car parking: http://www.wellingtonplace.co.uk

• What to bring

• Important to know

Alice Richardson

Leeds Apache Kafka® Meetup by Confluent

Confluent

Technology

Open Source

Software Development

New Technology

Web Technology

Web Development

Big Data

Technology Professionals

Computer Programming

Technology Startups

Stream Processing

Apache Kafka

Microservices