Dataware Hands-On Labs Houston, The Westin Oak Houston, Thursday, 14. November 2019

Dataware Hands-On Labs Houston
Areas of Focus:
In the fast-moving landscape of technology for AI and analytics it can be hard to stay current. Dataware Hands-On Lab, a workshop for developer and data scientist enablement, is an all-inclusive forum for technology practitioners to get hands-on experience using the latest tools and techniques addressing common challenges associated with machine learning, analytics, streaming, visualization, data storage, and ETL. Learn from practitioners and industry experts as they guide you through exercises designed to teach concepts and procedures that you can put into practice right away.

We look forward to seeing you in Houston!

6:00p || Beer and Pizza Networking Opening
6:30p - 8:00p || Streaming Data Pipeline for Predicting Flight Delays Using Apache APIs: Kafka, and Spark with MapR Document Database | Carol McDonald, Solutions Architect, MapR

Featured Speakers

Carol McDonald, Solutions Architect at MapR Technologies
 Carol has experience working in many roles including software architecture and development, training, technology evangelism, and developer outreach. She has extensive experience as a software developer and architect, building complex mission-critical applications in the banking, health insurance and telecom industries. Prior to working at MapR: Carol worked as: a senior developer for a health information exchange; an architect on a massive OLTP  application to manage > 10 mill loans for the consumer credit division of a leading automobile manufacturer; a  technology evangelist at Sun, traveling worldwide, speaking, and giving hands-on-labs; developing pharmaceutical intranet applications for Roche in Switzerland, developing a Telecom Network Management Application for HP in France, developing a Email Server application for IBM in Germany, and as a student intern for the National Security Agency. Carol holds a M.S. in Computer Science from the University of Tennessee, a B.S. in Geology from Vanderbilt University, and is an OReilly certified developer on Apache Spark, Sun Certified Java Architect and Java Language Programmer. Carol is also Fluent in French and German.

Featured Sessions

Streaming Data Pipeline for Predicting Flight Delays Using Apache APIs: Kafka, and Spark with MapR Document Database 
Speaker: Carol McDonald, Solutions Architect at MapR Technologies
In this hands-on lab, we will look at the architecture of a data pipeline that combines streaming data with machine learning to predict flight delays. You will see the end-to-end process required to build this application using Apache APIs for Kafka, Spark, Drill and other technologies:

Apache Spark Machine Learning to build a model to predict flight delays.

Kafka and Spark Streaming: Using the ML model with streaming data to do real-time analysis of flight delays.

Spark Streaming and fast storage with MapR Document Database

Analysis of Flight delay data and predictions stored in MapR Document Database with Apache Spark and Apache Drill.

The possibility to blend machine learning with real-time transactional data flowing through a single platform is opening a world of new possibilities, such as enabling organizations to take advantage of opportunities as they arise. Leveraging these opportunities requires fast, scalable data processing pipelines which process, analyze, and store events as they arrive.

Presented by:

Sponsored by:

AUTHORIZATION: By registering for this event, you are authorizing MapR to (i) provide contact information including your name, your company’s name, address, email address and phone number to MapR, MapR sponsors, the event center and any service vendor contracted to conduct work for the MapR Event, and (ii) contact you about MapR products and services.

Thursday, 14. November 2019, The Westin Oak Houston, Dataware Hands-On Labs Houston

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