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DTSTART:20250309T030000
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DTSTART:20241103T010000
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DTSTAMP:20241105T145929Z
UID:E6F8674F-4C4E-42C1-A65A-535D971ADFB5
DTSTART;TZID=America/New_York:20241104T180000
DTEND;TZID=America/New_York:20241104T193000
DESCRIPTION:As we move towards a data oriented world\, it is important for 
 organizations to be able to collect data from multiple sources\, apply bus
 iness logic and transformation and extract intelligence that can help in m
 aking better decisions. Data ingestion can be based on real-time streams o
 r batch based data. Apache NiFi is an easy to use reliable system that can
  be configured to ingest data from various sources\, make transformations 
 while handling multiple data formats and send data to downstream applicati
 ons\, dashboards or databases for consumption or display.\n\nBasically NiF
 i was built to automate the flow of data between systems and it performs t
 his task very well with a browser based design. We will look at NiFi basic
 s\, architecture\, data formats\, a large number of functions\, how it can
  benefit an organization\, integrate data and provide ETL/ELT functionalit
 y.\n\nSpeaker(s): Asaf\, \n\nAgenda: \n6:00PM - Introduction of IEEE Hamil
 ton Section\n\n6:15PM - Presentation\n\n7:15PM - Q&amp;A\n\n7:30PM - Refreshme
 nts\n\nRoom: Community Room C\, Bldg: Glen Abbey Community Centre\, 1415 T
 hird Line\, Oakville\, Ontario\, Canada\,  L6M3G2
LOCATION:Room: Community Room C\, Bldg: Glen Abbey Community Centre\, 1415 
 Third Line\, Oakville\, Ontario\, Canada\,  L6M3G2
ORGANIZER:patrick.nkwari.n@ieee.org, tanzeelur.rehman@ieee.org
SEQUENCE:57
SUMMARY:Data ingestion\, transformation and visualization with Apache NiFi
URL;VALUE=URI:https://events.vtools.ieee.org/m/436492
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;As we move towards a data oriented world\,
  it is important for organizations to be able to collect data from multipl
 e sources\, apply business logic and transformation and extract intelligen
 ce that can help in making better decisions. Data ingestion can be based o
 n real-time streams or batch based data. Apache NiFi is an easy to use rel
 iable system that can be configured to ingest data from various sources\, 
 make transformations while handling multiple data formats and send data to
  downstream applications\, dashboards or databases for consumption or disp
 lay.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Basically NiFi was built to automate the flow of data 
 between systems and it performs this task very well with a browser based d
 esign. We will look at NiFi basics\, architecture\, data formats\, a large
  number of functions\, how it can benefit an organization\, integrate data
  and provide ETL/ELT functionality.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6:00PM
  - Introduction of IEEE Hamilton Section&lt;/p&gt;\n&lt;p&gt;6:15PM - Presentation&lt;/p&gt;
 \n&lt;p&gt;7:15PM - Q&amp;amp\;A&lt;/p&gt;\n&lt;p&gt;7:30PM - Refreshments&lt;/p&gt;
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