Big Data: It's Everywhere. And So Are We.

Chicago, Illinois
October 1, 2014

One day, two tracks, multiple sessions. There is something for everyone at Big Data Everywhere.

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Featured Talks

Keynote: The Business Value of Big Data Driven by the Internet of Everything (IoT)

By 2022, there will be 50 billion things connected to the internet in a world of 8 billion people. Use case studies have shown that smart connected cities, smart stadiums, smart grids, smart connected healthcare and patient monitoring, smart...

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Keynote: Apache Spark plus Many Other Frameworks: How Spark Fits into the Big Data Landscape

Apache Spark is intended as a fast and powerful general purpose engine for processing Hadoop data. Spark supports combinations of batch processing, streaming, SQL, ML, Graph, etc., for applications...

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Keynote: Getting Real with the MapR Platform

In this talk, we will take a look back at the short history of Hadoop, along with the trials and tribulations that have come along with this ground-breaking technology. We will explore the reasons why enterprises need to look deeper into their wants and needs and further into the future to prepare for where they are going...

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Agenda: October 1, 2014

Union League Club of Chicago
65 W. Jackson Blvd. Chicago, IL 60604

FULL SCHEDULE
7:30am - 9:00am Registration & Breakfast
9:00am - 9:15am Introductions & Welcome CHUG Members: Jim Scott, Mike Segel, Dean Wampler and Boris Lublinsky
9:15am - 9:45am Keynote: The Business Value of Big Data Driven by the Internet of Everything John Zamierowski, Business Development Manager, Cisco
9:45am - 10:15am Keynote: Apache Spark plus Many Other Frameworks: How Spark Fits into the Big Data Landscape Paco Nathan, Director of Community Evangelism, Databricks
10:15am - 11:00am
Track 1: Dev Ops & Data Science
SQL on Hadoop - Pros, Cons, the Haves and Have Nots Ted Dunning, Committer for Apache Mahout, Drill, & ZooKeeper Projects & Chief Application Architect, MapR
Track 2: Architecture & Business Case
Orbitz Case Study - When You Can’t Start from Scratch: Building a Data Pipeline with the Tools You Have Steve Hoffman & Ken Dallmeyer, Orbitz
11:00am - 11:15am Break
11:15am - 12:00pm
Track 1: Dev Ops & Data Science
TSAR (the TimeSeries AggregatoR) - How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies Gabriel Gonzalez, Software Engineer, Twitter
Track 2: Architecture & Business Case
Leading a Healthcare Company to the Big Data Promised Land: A Case Study of Hadoop in Healthcare Mohammad Quraishi, Sr. IT Principal, Cigna
12:00pm - 1:00pm Lunch
1:00pm - 1:30pm Keynote: Getting Real with the MapR Platform Jim Scott, Director of Enterprise Strategy & Architecture, MapR
1:30pm - 2:15pm
Track 1: Dev Ops & Data Science
Unleash the Power of HBase Shell Jayesh Thakrar, Sr. Systems Engineer, Conversant
Track 2: Architecture & Business Case
Customer Analytics on Hadoop Rob Rosen, Sr. Director of Solutions Architecture, Platfora
2:15pm - 2:30pm Break
2:30pm - 3:15pm
Track 1: Dev Ops & Data Science
Why Spark Is the Next Top (Compute) Model Dean Wampler, Big Data Specialist, Typesafe
Track 2: Architecture & Business Case
The Big Data Imperative: Discovering & Protecting Sensitive Data in Hadoop Jeremy Stieglitz, VP of Product Management, Dataguise
3:15pm - 3:30pm Break
3:30pm - 4:15pm
Track 1: Dev Ops & Data Science
1.5 Million Log Lines Per Second: Building and Maintaining Flume Flows at Conversant Mike Keane, Team Lead, Sr. Software Engineer, Conversant
Track 2: Architecture & Business Case
Why Would You Integrate Solr and Hadoop? Yann Yu, Systems Engineer, Lucidworks
4:15pm - 4:30pm Break
4:30pm - 5:15pm
Track 1: Dev Ops & Data Science
A Distributed Transactional Database on Hadoop John Leach, CTO, Splice Machine
Track 2: Architecture & Business Case
High Performance Computing Contributions to the World of Big Data Sharan Kalwani, Computing Services Architecht, Fermi National Accelerator Lab
5:15pm - 7:00pm Networking & Cocktails

Featured Speakers

John Zamierowski

Business Development Manager, Cisco John Zamierowski is the US Commercial Business Development Manager for Mission Critical Applications. In this role, he positions the Cisco offering and the compelling advantages they have running business critical applications. Prior to this role, John held the position of Regional Data Center Manager at Cisco. In addition, John held a variety of executive and management positions at Hewlett-Packard over his 23 years there. John also spent 5 years in a private consultancy focused on IT integration and sales.

Paco Nathan

Director of Community Evangelism, Databricks Paco Nathan, is a "player/coach" who's led innovative data teams building large-scale apps for several years. Paco has expertise in distributed systems, machine learning, cloud computing, and functional programming. Paco is an O'Reilly author with a focus on enterprise data workflows and math literacy among execs. In addition, he has a keen interest in Ag+Data. Paco is an Apache Spark open source evangelist with Databricks, and an advisor for Amplify Partners. He received his BS Math Sci and MS Comp Sci degrees from Stanford University, and has over 30 years of experience in the technology industry, ranging from Bell Labs to early-stage startups.

Jim Scott

Director of Enterprise Strategy & Architecture, MapR Jim drives enterprise architecture and strategy at MapR. Jim Scott is the co-founder of the Chicago Hadoop Users Group. As co-founder, Jim helped build the Hadoop community in Chicago for the past four years. He has implemented Hadoop at three different companies, supporting a variety of enterprise use cases from managing Points of Interest for mapping applications, to Online Transactional Processing in advertising, as well as full data center monitoring and general data processing. Prior to MapR, Jim was SVP of Information Technology and Operations at SPINS, the leading provider of retail consumer insights, analytics reporting and consulting services for the Natural, Organic and Specialty Products industry. Additionally, he served as Lead Engineer/Architect for Dotomi, one of the world’s largest and most diversified digital marketing companies. Prior to Dotomi, Jim held several architect positions with companies such as aircell, NAVTEQ, Classified Ventures, Innobean, Imagitek, and Dow Chemical, where his work with high-throughput computing was a precursor to more standardized big data concepts like Hadoop.

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Big Data Everywhere

Union League Club of Chicago
65 W. Jackson Blvd.
Chicago, IL 60604