BEGIN:VCALENDAR VERSION:2.0 PRODID:-//OpenACalendar//NONSGML OpenACalendar//EN X-WR-CALNAME:The London Java Community: LJC Virtual Meetup: Robin Moffatt's Apache Kafka Series - Open Tech Calendar BEGIN:VEVENT UID:10427@otc.opentechcalendar.co.uk URL:https://opentechcalendar.co.uk/event/10427-ljc-virtual-meetup-robin-mof fatts-apache-kafka-ser SUMMARY:The London Java Community: LJC Virtual Meetup: Robin Moffatt's Apac he Kafka Series DESCRIPTION:*** This is a placeholder for the event which is being run on E ventbrite. Please sign up with your full name here - https://www.eventbrit e.co.uk/e/ljc-virtual-meetup-robin-moffatts-apache-kafka-series-tickets-10 3321752142 ***\n\nJoin the LJC over the next 3 weeks for a series of Apach e Kafka talks by Robin Moffatt. Robin is a Senior Developer Advocate at Co nfluent\, the company founded by the original creators of Apache Kafka\, a s well as an Oracle ACE Director (Alumnus).\n\nTalk 1: Apache Kafka and ks qlDB in Action: Let's Build a Streaming Data Pipeline! - Wednesday 29th Ap ril at 7pm\n\nTalk 2: From Zero to Hero with Kafka Connect - Wednesday 6th May at 7pm\n\nTalk 3: Introduction to ksqlDB - Wednesday 13th May at 7pm\ n\nApache Kafka and ksqlDB in Action : Let's Build a Streaming Data Pipeli ne!\nKafka is a whole lot more than just a message bus! It includes stream processing and integration capabilities\, and this talk will be mostly li ve coding to demonstrate what can be built around it\, how to do it - and why to do it.\n\nHave you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again! A pache Kafka is a distributed\, scalable\, and fault-tolerant streaming pla tform\, providing low-latency pub-sub messaging coupled with native storag e and stream processing capabilities. Integrating Kafka with RDBMS\, NoSQL \, and object stores is simple with Kafka Connect\, which is part of Apach e Kafka. ksqlDB is the source-available SQL streaming engine for Apache Ka fka\, and makes it possible to build stream processing applications at sca le\, written using a familiar SQL interface.\n\nIn this talk\, we'll expla in the architectural reasoning for Apache Kafka and the benefits of real-t ime integration\, and we'll build a streaming data pipeline using nothing but our bare hands\, Kafka Connect\, and ksqlDB.\n\nFrom Zero to Hero with Kafka Connect\nIntegrating Apache Kafka with other systems in a reliable and scalable way is often a key part of a streaming platform. Fortunately\ , Apache Kafka includes the Connect API that enables streaming integration both in and out of Kafka. Like any technology\, understanding its archite cture and deployment patterns is key to successful use\, as is knowing whe re to go looking when things aren't working.\n\nThis talk will discuss the key design concepts within Kafka Connect and the pros and cons of standal one vs distributed deployment modes. We'll do a live demo of building pipe lines with Kafka Connect for streaming data in from databases\, and out to targets including Elasticsearch. With some gremlins along the way\, we'll go hands-on in methodically diagnosing and resolving common issues encoun tered with Kafka Connect. The talk will finish off by discussing more adva nced topics including Single Message Transforms\, and deployment of Kafka Connect in containers.\n\nIntroduction to ksqlDB\nYou've got streams of da ta that you want to process and store? You've got events from which you'd like to derive state or build aggregates? And you want to do all of this i n a scalable and fault-tolerant manner? It's just as well that Kafka and k sqlDB exist!\n\nThis talk will be built around a live demonstration of the concepts and capabilities of ksqlDB. We'll see how you can apply transfor mations to a stream of events from one Kafka topic to another. We'll use k sqlDB connectors to bring in data from other systems and use this to join and enrich streams--and we'll serve the results up directly to an applicat ion\, without even needing an external data store.\n\nThis event is organi sed by RecWorks on behalf of the London Java Community.\n\nSee our latest jobs here: https://recworks.co.uk/java-developer-jobs-london/.\n\nSee our privacy policy here: http://recworks.co.uk/privacy-policy\n\nContinue the conversation at our Slack Group: https://londonjavacommunity.slack.com\n\n Sign up here if you're not a member: https://bcrw.typeform.com/to/IIyQxd\n https://opentechcalendar.co.uk/event/10427-ljc-virtual-meetup-robin-moffat ts-apache-kafka-ser\nPowered by Open Tech Calendar X-ALT-DESC;FMTTYPE=text/html:
*** This is a placeholder for t
he event which is being run on Eventbrite. Please sign up with your full n
ame here - https://www.eventbrite.co.uk/e/ljc-virtual-meetup-robin-moffatt
s-apache-kafka-series-tickets-103321752142 ***
Join the LJC over th
e next 3 weeks for a series of Apache Kafka talks by Robin Moffatt. Robin
is a Senior Developer Advocate at Confluent\, the company founded by the o
riginal creators of Apache Kafka\, as well as an Oracle ACE Director (Alum
nus).
Talk 1: Apache Kafka and ksqlDB in Action: Let&rsquo\;s Build
a Streaming Data Pipeline! - Wednesday 29th April at 7pm
Talk 2: F
rom Zero to Hero with Kafka Connect - Wednesday 6th May at 7pm
Talk
3: Introduction to ksqlDB - Wednesday 13th May at 7pm
Apache Kafka
and ksqlDB in Action : Let&rsquo\;s Build a Streaming Data Pipeline!
K
afka is a whole lot more than just a message bus! It includes stream proce
ssing and integration capabilities\, and this talk will be mostly live cod
ing to demonstrate what can be built around it\, how to do it - and why to
do it.
Have you ever thought that you needed to be a programmer to
do stream processing and build streaming data pipelines? Think again! Apa
che Kafka is a distributed\, scalable\, and fault-tolerant streaming platf
orm\, providing low-latency pub-sub messaging coupled with native storage
and stream processing capabilities. Integrating Kafka with RDBMS\, NoSQL\,
and object stores is simple with Kafka Connect\, which is part of Apache
Kafka. ksqlDB is the source-available SQL streaming engine for Apache Kafk
a\, and makes it possible to build stream processing applications at scale
\, written using a familiar SQL interface.
In this talk\, we&rsquo\
;ll explain the architectural reasoning for Apache Kafka and the benefits
of real-time integration\, and we&rsquo\;ll build a streaming data pipelin
e using nothing but our bare hands\, Kafka Connect\, and ksqlDB.
Fr
om Zero to Hero with Kafka Connect
Integrating Apache Kafka with other
systems in a reliable and scalable way is often a key part of a streaming
platform. Fortunately\, Apache Kafka includes the Connect API that enables
streaming integration both in and out of Kafka. Like any technology\, und
erstanding its architecture and deployment patterns is key to successful u
se\, as is knowing where to go looking when things aren&rsquo\;t working.<
br>
This talk will discuss the key design concepts within Kafka Connect
and the pros and cons of standalone vs distributed deployment modes. We&r
squo\;ll do a live demo of building pipelines with Kafka Connect for strea
ming data in from databases\, and out to targets including Elasticsearch.
With some gremlins along the way\, we&rsquo\;ll go hands-on in methodicall
y diagnosing and resolving common issues encountered with Kafka Connect. T
he talk will finish off by discussing more advanced topics including Singl
e Message Transforms\, and deployment of Kafka Connect in containers.
<
br>Introduction to ksqlDB
You&rsquo\;ve got streams of data that you wa
nt to process and store? You&rsquo\;ve got events from which you&rsquo\;d
like to derive state or build aggregates? And you want to do all of this i
n a scalable and fault-tolerant manner? It&rsquo\;s just as well that Kafk
a and ksqlDB exist!
This talk will be built around a live demonstra
tion of the concepts and capabilities of ksqlDB. We&rsquo\;ll see how you
can apply transformations to a stream of events from one Kafka topic to an
other. We&rsquo\;ll use ksqlDB connectors to bring in data from other syst
ems and use this to join and enrich streams&mdash\;and we&rsquo\;ll serve
the results up directly to an application\, without even needing an extern
al data store.
This event is organised by RecWorks on behalf of the
London Java Community.
See our latest jobs here: https://recworks.
co.uk/java-developer-jobs-london/.
See our privacy policy here: htt
p://recworks.co.uk/privacy-policy
Continue the conversation at our
Slack Group: https://londonjavacommunity.slack.com
Sign up here if
you're not a member: https://bcrw.typeform.com/to/IIyQxd
More info: https://opentechcalendar.co.uk/event/10427-l jc-virtual-meetup-robin-moffatts-apache-kafka-ser
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DTSTART:20200429T180000Z DTEND:20200429T190000Z SEQUENCE:0 DTSTAMP:20200422T222608Z END:VEVENT END:VCALENDAR