Big Data Analytics with Tableau

© 2013 Impact Analytix, LLC

q u i c k l y m a k e a p o s i t i v e i m p a c t

Big Data Analytics with TableauJen UnderwoodFounder & Principal ConsultantImpact Analytix, LLC

813.435.5344 [email protected]


About the Speaker

o Impact Analytix, LLC is a boutique BI and predictive analytics consulting firm that values projects that truly make a difference

o Jen Underwood, Founder & Principal Consultant

• ~20 years of business intelligence industry experience

• Former Global Microsoft BI and Analytics Technical Product Manager and seasoned BI implementer

• Passionate technology evangelist and volunteer, TDWI, PASS, SharePoint Conference, and Microsoft TechEd

• Bachelor of Business Administration degreeUniversity of Wisconsin Milwaukee

Post Graduate Certificate Computer Science - Data Mining University of California, San Diego


“Decision making and the techniques and technologies to support and automate it will be the next competitive battleground for organizations. Those who are using business rules, data mining, analytics and optimization today are the shock troops of this next wave of business innovation.”

- Tom Davenport, Competing on Analytics


Tableau DesktopFor Anyone

• Explore and visualize data• Self-service analytics for everyone• Blazing speed against massive data• Author and publish to Server


Tableau ServerFor Organizations

• Web dashboards and applications• Secure information management• Enterprise scalability• User defined and deployed


Visual Analytics • Based on a visual query language – VizQL • Unifies computer graphics and databases

Live Query Engine• Attaches directly to enterprise data stores• Supports the world’s largest databases• Compatible with data of all formats and sizes

In-Memory Data Engine• Breakthrough in-memory data engine• Column storage, architecture aware• Fast performance with massive data

Core Technology


All Data SourcesTransform all types of data into self-service analytics


Tableau and Big Data

• Hadoop via Hive • Cloudera Impala• Cassandra• HortonWorks• Hadapt• Karmasphere• Google Analytics and Google BigQuery• Amazon RedShift• SAP HANA• Many other data source types


Why Tableau with Big Data?

o 1. Easy, powerful connectiono Connect from Tableau just like any data sourceo No special configuration needed on Hadoop cluster, Hive is requiredo On the fly ETL with Custom SQLo Extended string functions support XML XPATH and custom SQL to manipulate Hadoop data as it

comes in o 2. Tune your analytic workload

o Supports passing native Hadoop functions and programso Functions are packaged as “jar” files o Power of Extracts with Data Server for Batch Processing with Big Data

o 3. Analyze data at the speed of thought o Tableau’s in-memory data engineo 10 – 100x data compression


INRIXo THE LEADING PROVIDER OF TRAFFIC

INFORMATION, DIRECTIONS, AND DRIVER SERVICES

• Powering traffic, navigation, and other in‐car connected services for 120+ industry‐leading customers

• Delivering real‐time coverage across 20 countries including 1M+ miles in North America and 1M+ km throughout Europe

• Managing the largest traffic network in the world with real‐time data from 5M+ GPS enabled vehicles and 400+ public & private sources

• Multiple petabytes of data, every minute stores traffic information across millions of segments of road


INRIX


INRIX Billions of Data Points


INRIX Incident Fusion


INRIX Directions and Driver Services


INRIX Traffic Scorecard with TableauLiterally petabytes of compressed data visualized in the Traffic Scorecard

