Saturday 4 November 2017 9:00 AM - 5:00PM PM
November 4th, 2017Grand Canyon University

The largest big data event in the Phoenix valley

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Registration and Attendance is Free
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About Phoenix Data Conference

Phoenix Data Conference is the largest data conference in the Phoenix area. PDC brings together local and national leaders in Big Data, Data Science, Data Mining, and other data spaces to discuss the latest trends, newest technologies, and most innovative implementations in Big Data. Come join this free, all-day conference aimed to promote shared knowledge and growth within the big data community.

Speakers

We invited digital experts around the world

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Hari Gottipati

American Express
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Jeffrey Carpenter

DataStax
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Mark Castrovinci

Legacy.com
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Nitin Mulimani

American Express
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Melissa Kovacs

FirstEval
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Ann Jackson

Data Vis Consultant
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Thejas Nair

Hortonworks
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Malo Denielou

Google Cloud
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Sunil Pedapudi

Google Cloud
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Clark Richey

Factgem
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Casey Fox

Swift Transportation
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Jimmy Bates

MapR
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TBD

Clairvoyant
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TBD

Avinash Remineni amd Pankaj Mishra
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Bennie Haelen

Honeywell
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Thomas Lin

Qlik
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James Baker

Microsoft
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Venkatesh Sunderam

PayPal
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TBD

Cloudera
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Abhishek Mehta

Tresata
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Uma Kannikanti

Choice Hotels
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Giang Le and Rodrigo Rodriguez

Prism Studios
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Sunil Sabat

Protegrity

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Schedule

November 4, 2017

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Thomas Lin

Senior Architect at Qlik

Uncovering the Big ‘V’ in Big Data: Seeing the Value with Qlik

When talking about Big Data, people often talk about the three V’s to describe it: Volume, Velocity, and Variety. Solutions thus far have been focused on addressing these challenges. There are actually a couple more V’s not as widely talked about that are equally important, Veracity and Value.
This session takes a look at the different aspects of Value and how to uncover them in the sea of Big Data. With an appropriate analytics platform like Qlik Sense, see how users of all skillsets can begin extracting insights and Value from their Big Data.

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Jeff Carpenter

Technical Evangelist at DataStax

Building a Real-Time Recommendation Engine with Apache Cassandra and DataStax Enterprise Graph

Although big data technology has led to great gains in our ability to analyze vast quantities of data, one of the main obstacles to getting more value from our big data initiatives is the difficulty of operationalizing the results of our analysis in real-time. Jeff Carpenter, Technical Evangelist at DataStax, will share how his team built a real-time recommendation engine using DataStax Enterprise for a video sharing reference application called KillrVideo. You’ll learn how technologies including Apache Cassandra, Apache Spark, and the Gremlin graph traversal language can be used to create recommendation engines and a variety of other real-time analytics applications.

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James Barker

Microsoft

Succeeding with Big Data Analytics in the Cloud Using Remote Storage

The long-standing assumptions of bringing compute to the data as the best way to achieve big data analytics do not really apply in today’s hyper-scale cloud data centers. Instead, performant and cost-effective remote storage services not only succeed with running contemporary analytics workloads, they also open up a broader set of opportunities for extracting value from your data. In this talk, James Baker will share insights and data describing the benefits of disaggregated storage for the full range of analytics applications, especially in the cloud. He will show compelling performance results and cost analysis as well as best practices for designing and gaining maximum benefit from your cloud-based analytics pipelines.

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Uma Kannikanti

Choice Hotels

WordPress Theme Development Basic

Overview of choosing the right tool to build data analytics platform

  • How Choice Hotels uses Structured Streaming to develop an end-user self-service ETL framework
  • Explore Spark MLlib

Testimonials

Sponsors

Sponsor this event and showcase your Big Data and Analytics initiatives. Sponsoring grants you benefits that others miss out on.
Contact us if interested at contact@phxdataconference.com.

Event Information

Everything you need to know.

Venue

This year's Phoenix Data Conference is at Grand Canyon University, voted as one of the 10 Best College Campuses Across America.

Transportation

The campus is located near the heart of the city so it is easily reached by private or public vehicles which are available for 24 hours.

Hotel

There are hotel and rental options available around the event location. Check out Google for nearby places.