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  • Sep 29 Webinar: Data Modeling and Shortcuts to Success in Scaling Time Series Applications

Sep 29 Webinar: Data Modeling and Shortcuts to Success in Scaling Time Series Applications

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DATE: September 29, 2016 This webinar has passed. The recording is available On Demand.

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

This Webinar is Sponsored by:

Basho Technologies

About the Webinar

Join Basho technologies and Databricks, creators of Apache Spark, as we share lessons learned by both organizations in building scalable applications for IoT and time series use cases.  We’ll be discussing some of the data modeling considerations unique to time series data and some of the key factors developers and architects need to take into consideration as data moves through the pipeline. You’ll learn:

  • Challenges in building apps to leverage data being generated by IoT devices
  • What you need to think about before you start modeling your IoT data
  • Shortcuts to success in building IoT apps

The webinar will also give a live demonstration of how to store and retrieve IoT data as well as a demonstration of integrated data store with analytics engine using a live Notebook as a guide.

 

About the Speakers

ThomasSigler.jpg

Thomas Sigler

Solutions Architect – Basho Technologies

Thomas Sigler is a solutions architect with Basho Technologies where he helps customers succeed with their Big Data initiatives.  Tom has many years experience helping customers with distributed data stores, OLTP/OLAP systems, and scalable application architecture.

peyman

Peyman Mohajerian

Solution Architect – Databricks

Peyman is a Solution Architect at Databricks in the Southern California region. Prior to Databricks he had numerous consulting roles working for MapR and Teradata as a Big Data Engineer in the areas of data architecture, analytic and data science. Prior to Teradata at Fox Filmed Entertainment he played a leadership role in building a new big data platform. Prior to that role, he was a Software Architect and Engineer working in the Ad Tech. 

 

 

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