Simplify and Scale Data Pipelines
Agencies are playing the game Whac-A-Mole when it comes to managing their disparate datasets. They’re addressing big datasets as stand-alone entities rather than understanding the overall value and scope of big data in government. Ingesting and processing data from multiple sources is complex and scaling a solution to manage and orchestrate it all is a difficult task for humans to do alone.
But employees don’t have to go at it by themselves. Join us Thursday, June 6 at 2-3 p.m. ET/ 11 a.m.– noon PT to learn how automation can create a unified and seamless experience for agencies.
Specifically, you’ll learn:
- How automation and orchestration can help agencies better share data between systems and scale big data solutions appropriately.
- The biggest barriers facing agencies looking to invest in automation for big data.
- How agencies are using data to make more informed decisions.
Relevant Government Agencies
Air Force, Army, Navy & Marine Corps, Intelligence Agencies, DOD & Military, Office of the President (includes OMB), Dept of Agriculture, Dept of Commerce, Dept of Education, Dept of Energy, Dept of Health & Human Services, Dept of Homeland Security, Dept of Housing & Urban Development, Dept of the Interior, Dept of Justice, Dept of Labor, Dept of State, Dept of Transportation, Dept of Treasury, Dept of Veterans Affairs, EPA, GSA, USPS, SSA, NASA, Other Federal Agencies, Legislative Agencies (GAO, GPO, LOC, etc.), Judicial Branch Agencies, State Government, County Government, City Government, Municipal Government, CIA, FEMA, Office of Personnel Management, Coast Guard, National Institutes of Health, FAA, Census Bureau, USAID, National Guard Association, EEOC, Federal Government, State & Local Government, FDA, Foreign Governments/Agencies, NSA, FCC
Event Type
Webcast
This event has no exhibitor/sponsor opportunities
When
Thu, Jun 6, 2019, 2:00pm - 3:00pm
ET
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Organizer
GovLoop
Join the event conversation:
@govloop
#gltrain