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DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14478\nFINRA plays a critic
 al role in ensuring the integrity of the financial markets through writing 
 and enforcing rules and by examining firms for compliance with those rules.
  This is done to provide investors protection and to promote confidenc
 e in the US markets. To accomplish this, FINRA oversees more than 624,
 000 brokers and surveils 99% of the equities markets and 70% of the options
  markets for manipulation, fraud, abuse, and insider trading. This req
 uires processing up to 600+ market events per day that utilize 500+ petabyt
 es of storage.\n\nFINRA has established a set of Data Quality measures and 
 checks that govern the categorization of data issues identified to determin
 e if there is a need for data to be corrected, resubmitted, and reprocessed
 . This provides confidence in the data that is used in FINRA’s r
 egulatory program and provides quicker resolution of surveillance output, a
 nd eliminates the costly process of treating all data issues in a similar f
 ashion. We at FINRA made great strides in this area and would like to 
 share our experiences with you!\n\n	Who is FINRA?\n
 Concepts of Data Democratization \n	\n
 Data Literacy, Self Service Analytics, Visualizations, Governance, Security
 \n	\n	\n	Big Data processing  \n	\n
 Scale/Volume with market volatile conditions\n
 Complexity of data structures and workloads\n
 Challenges with quality and processing\n	\n	\n
 What and Why does Data quality matter for Big Data workloads?\n	\n
 Impacts of poor data quality\n		Importance of data quality\n	\n	\n
 Ensure Data Quality:\n	\n
 Quality is not about looking for needles in haystacks; it’s knowing w
 hat besides needles are hidden in there and how to find them\n
 Ensuring confidence in data with a proactive approach to catch data quality
  issues\n	\n	\n	Operational Excellence: \n	\n
 Design a data infrastructure: what’s a data lake and why is it i
 mportant\n
 FINRA’s journey to build automated and consolidated data quality syst
 ems\n
 Advanced data quality checks for large complex workloads in Big Data\n		\n
 Using Machine Learning\n			Rule based Data Quality checks\n		\n		\n	\n	\n
 Observability of Workloads\n	\n		Live Operational Dashboards\n
 Alerting & Trends\n		Tracking & Reporting\n	\n	\n\n
DTSTART:20230920T114500
SUMMARY:Data Quality Management for Big Data Processing - Operational Excel
 lence
DTEND:20230920T122959
LOCATION: See Description
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