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Presenter: Stewart Bryson
Organization: Red Pill Analytics
Biographical Sketch: Stewart Bryson is the owner and co-founder of Red Pill Analytics and has been designing and implementing BI systems since 1996. He is an Oracle ACE Director, an internationally recognized writer and speaker in the Oracle community, and co-host for the video podcast Real Time BI with Kevin & Stewart.

He founded Transcendent Data in 2004 to build a consulting practice around his considerable knowledge of best practices and Oracle BI and DW products. In 2008, he joined Rittman Mead Consulting as the US CEO and later as the global Chief Innovation Officer. In 2014, along with Kevin McGinley, Stewart founded Red Pill Analytics with the desire to affect a paradigm shift in Oracle BI and DW delivery.
 
Title: Data Streaming and Analytic Microservices
 
Abstract: While traditional data warehouses excel at sourcing data from enterprise applications, they usually fail at handling the volume, velocity, and variety of data for modern analytics applications relying on big and fast data. Instead of modeling these data sources into a system that doesn't fit, let's apply a new software design pattern to analytics: microservices. Microservices are small, independent applications building blocks that provide only a distinct subset of functionality that can be stacked together to build an end-to-end platform.

In this presentation, we'll explore using Apache Kafka and the Confluent Platform 3.0 as the data streaming hub for ingesting data bound for downstream analytic applications: an enterprise data warehouse, a Hadoop cluster for batch processing, and lightweight, purpose-built microservices in the cloud or on-premises. Experience the next generation of analytics platforms.
 
Topic: Big Data
Target Audience: Intermediate
 
 
Title: Data Streaming and Analytic Microservices
 
Abstract: While traditional data warehouses excel at sourcing data from enterprise applications, they usually fail at handling the volume, velocity, and variety of data for modern analytics applications relying on big and fast data. Instead of modeling these data sources into a system that doesn't fit, let's apply a new software design pattern to analytics: microservices. Microservices are small, independent applications building blocks that provide only a distinct subset of functionality that can be stacked together to build an end-to-end platform.

In this presentation, we'll explore using Apache Kafka and the Confluent Platform 3.0 as the data streaming hub for ingesting data bound for downstream analytic applications: an enterprise data warehouse, a Hadoop cluster for batch processing, and lightweight, purpose-built microservices in the cloud or on-premises. Experience the next generation of analytics platforms.
 
Topic: Big Data
Target Audience: Intermediate
Location: Amphitheater
 
 
 


GaOUG Tech Days
May 9-10, 2017
www.gaoug.org/

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