Data Integration with Kafka: What, Why, How

Hi Fellow Data Lovers and Big Dataers,

We're ready for our next meetup...

I've been hearing about Apache Kafka for the last year or so. I know that our data engineers love it, and it's becoming a default technology for many organizations out there.

Or, said another way, Apache Kafka has fast become the dominant messaging technology for the enterprise; if you're a data scientist or data engineer and you have not yet worked with Kafka, that situation will likely change soon! In this session, Pat Patterson, director of evangelism at StreamSets, will explain what Kafka is, why it has disrupted the previous generation of messaging products, and how you can use open source products to build dataflow pipelines with Kafka, without writing code.

Our first speaker will be Pat Patterson, Director of Evangelism at StreamSets (https://streamsets.com/). Here's Pat's info: https://www.linkedin.com/in/metadaddy/

And based on our audiences's (i.e. you guys) vote, we'll also hear about the selecting the right machine learning algorithms.

There are several factors that guide decisions in choosing the right machine learning algorithm for your models. Chuck Chekuri, a friend of our meetup, a regular attendee, and frequent provider of questions, will walk us through the different criteria and how they affect your choice of algorithms. You will walk away with the confidence to choose the right algorithm for your project. Chuck's info: https://www.linkedin.com/in/chuckchekuri/

See you all next month!

Cheers,
Jerry