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DESCRIPTION:Click for Latest Location Information: http://dgiq2023east.data
 versity.net/sessionPop.cfm?confid=158&proposalid=14948\nData leaders live d
 aily with complexity and chaos and are crushed by potential tasks. &nb
 sp;\n\n
 The "Modern" Data Stack is full of shiny new boxes of technology.
 \n	New cloud data toolchains are fragmented.\n
 Data architecture patterns are diverse and complicated.\n
 Data itself, of course, is diverse, numerous, and forever changing.\n
 The step-by-step process of ingesting, storing, transforming, predicting, v
 isualizing, and governing data is spread among various people in your organ
 ization.\n
 And your customers are asking for all sorts of new work.\n\nIs there any qu
 estion about why your day-to-day job is chaotic and stressful? Or that you 
 live in a state of hope and dread that, somewhere in the journey data takes
  from source to value, suddenly, everything will break, and you will be the
  last to notice? \n\nSomething is missing from our data systems. We ca
 nnot judge the expectations vs. reality in our production data sy
 stems. What is the variance between what is happening now and what should b
 e happening? Is it on time? Late? Is it trustworthy? What is happening now?
  Will my customers find a problem?   \n\nThat missing piece that 
 connects data system expectations and reality is a ‘Data Journey.&rsq
 uo; It starts with your data and leads to quality, trusted, on-time insight
  delivery to your customers. Data Observability and Data Quality Validation
  Testing are the core components that comprise the myriad of Data Journies 
 in Your Organization.\n
DTSTART:20231206T140000
SUMMARY:The Data Journey That Leads to Quality and Observability At Scale
DTEND:20231206T144459
LOCATION: See Description
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