Schedule: Domain Data sessions

Not all data is created equal. Some tracks location; other counts money. Some data is organized by time, or by map coordinate, or by entity. In this track, we’ll focus on domain-specific data types, learning about standards and hearing expert tips from those who work with it.

Ballroom E
Chris Moody (Gnip)
Average rating: ***..
(3.67, 3 ratings)
With billions of social activities passing through the ever-growing realtime social web each day, companies are beginning to harness the power of social data. In this session, participants will learn from real-world case studies in Financial Services, Emergency Response, Brand Analytics and other industries about how businesses are applying social data to their operations to drive value. Read more.
Ballroom E
Marcel Salathé (Penn State University)
Who influences whom? Data science can help answering this question which is of fundamental importance to business, politics, public health and many others. Read more.
Ballroom E
John Mulholland (Fannie Mae)
Pascal Boillat, Fannie Mae’s Chief Information Officer, will address how changing data standards and implementation strategies is having a profound effect on the financial services industry. Read more.
Ballroom E
Jen Zeralli (S&P Capital IQ), Jeff Sternberg (S&P Capital IQ)
Average rating: ****.
(4.00, 2 ratings)
Topics will span the data flow lifecycle from data collection, curation and quality, to aggregation and standardization of a multitude of complex data sources, to the creation of valuable analytics, including recommendations that connect users to the data. Read more.
Ballroom E
Ian White (Urban Mapping, Inc)
Average rating: ***..
(3.00, 2 ratings)
Federal transparency initiatives have spawned millions of rows of data, state and local programs engage developers and wonks with APIs, contests and data galore. Private industry offers attribute-laden device exhaust, forming a geo-footprint of who is going where, when, how and (maybe) for what. Who decides data provenance? Does curated data get treated the same as heterogeneous data? Read more.
Ballroom E
Leigh Dodds (Kasabi)
Average rating: ****.
(4.00, 2 ratings)
Facebook's Open Graph, Schema.org, and a recent scramble towards a "Rosetta Stone" for geodata, are all examples of a trend towards linking data across the web. Weaving data into the web simplifies integration. Big Data offers ways to mine huge datasets for insight. Linked Data turns the web into a dataset Read more.

Sponsors

  • EMC
  • Microsoft
  • HPCC Systems™ from LexisNexis® Risk Solutions
  • MarkLogic
  • Shared Learning Collaborative
  • Cloudera
  • Digital Reasoning Systems
  • Pentaho
  • Rackspace Hosting
  • Teradata Aster
  • VMware
  • IBM
  • NetApp
  • Oracle
  • 1010data
  • 10gen
  • Acxiom
  • Amazon Web Services
  • Calpont
  • Cisco
  • Couchbase
  • Cray
  • Datameer
  • DataSift
  • DataStax
  • Esri
  • Facebook
  • Feedzai
  • Hadapt
  • Hortonworks
  • Impetus
  • Jaspersoft
  • Karmasphere
  • Lucid Imagination
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Scaleout Software
  • Skytree, Inc.
  • Splunk
  • Tableau Software
  • Talend

For information on exhibition and sponsorship opportunities at the conference, contact Susan Stewart at sstewart@oreilly.com.

For information on trade opportunities with O'Reilly conferences contact Kathy Yu at mediapartners
@oreilly.com

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

View a complete list of Strata contacts