Name: Streaming Data
Start: 2018-10-04T11:30:00-05:00
End: 2018-10-04T13:00:00-05:00
Location: Star Space 46

Talk overview
The shift to streaming data is real, and if you're like most developers you're looking to Apache Kafka, Amazon Kinesis and perhaps Apache Pulsar, etc. as the possible solution of choice. As robust as these streaming solutions are, they also come with complexities that can get in the way of delivering near-term results. StreamSets has developed an ingest solution that vastly simplifies the process for ramping up on streaming data and that can help you deliver meaningful results in a fraction of the time.

Join us for this Lunch and Learn presentation where we will utilize Kafka and the open-source StreamSets Data Collector to demonstrate:

How to rapidly build and deploy robust data pipelines to and from Kafka, as well as other destinations such as NoSQL, and cloud services.
How to monitor dataflows, end-to-end and accelerate development cycles.
How to operate continuous data movement with agility as data sources and architecture evolve.

Speaker bio
Todd McGrath is a Solution Architect at StreamSets and the author of 5 books. He has over 20 years of software experience in development, analytics, integration, data engineering, and management.

After 6 years in Silicon Valley at 3 startups in the 1990s, Todd and his wife Sara moved to Costa Rica to try to learn how to surf. Because a career in surfing didn't work out, he started and ran a custom software development company for over 10 years. In 2012, he returned to the world of high growth, venture-backed software start-ups. Todd feels fortunate to have had the opportunities to deliver into high pressure, demanding environments at many of the world's most well-known brands.

Todd lives in Minneapolis and outside of work, you can usually find him at one of his kid's extracurricular events, walking his two golden retrievers or retreating from technology up North at the cabin.

https://www.linkedin.com/in/toddmcgrath/

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Big Data in Oklahoma City

Technology

Hadoop

Big Data

High Scalability Computing

MapReduce

Predictive Analytics

Data Mining

NoSQL

Streaming Data

Star Space 46

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Big Data in Oklahoma City

Streaming Data

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