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DESCRIPTION:Click for Latest Location Information: http://das2018.dataversi
 ty.net/sessionPop.cfm?confid=124&proposalid=10498\n<p>Today&rsquo;s Data Ar
 chitect or Specialist will drive tomorrow&rsquo;s data-driven solutions and
  advancing levels of connected intelligence.</p>\n<p>To do this, your data 
 team must first master the mechanics of a knowledge graph persisted in a na
 tive graph database, a technology that prioritizes relationships between da
 ta elements.</p>\n<p>This disruptive technology eliminates the performance 
 problem of database joins, the inflexibility of a data warehouse, and the h
 igh cost of system integration.</p>\n<p>With GraphGrid&rsquo;s Connected Da
 ta Lab, the data team can quickly master the basics and begin to connect da
 ta about internal systems, customers, suppliers, and partners. Whether expe
 rimenting with your data or focusing on a specific use case, your team will
  see the potential for a range of new solutions from revenue-generating ser
 vices, to real-time performance analytics, to real-world risk management.</
 p>\n<p>Learning happens quickly and safely in your private data lab:</p>\n\
 n
 Create a connected data strategy to unify and analyze customer, enterprise,
  or ecosystem data\n
 Design a graph model for knowledge building and continuous learning\n
 Develop algorithms for real-time discovery\n
 Pilot interfaces for new data-driven applications\n
 Demonstrate capabilities and prove ROI of connected data\n\n<p>Learning wit
 hin your private data lab, your team can build competencies in connected da
 ta design.</p>\n
DTSTART:20181009T120000
SUMMARY:Data to Insights in Real-Time
DTEND:20181009T122959
LOCATION: See Description
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