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DTSTAMP:20250930T193510Z
UID:D3480A2B-E6F0-4BBA-8C6D-7EC844B56860
DTSTART;TZID=US/Eastern:20250930T130000
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DESCRIPTION:In this talk\, we will explore the core components of Apache Sp
 ark and examine what makes it a powerful and efficient engine for large-sc
 ale data processing. We&#39;ll discuss how Spark achieves performance through 
 in-memory computing\, DAG execution\, and parallelism\, while also highlig
 hting common challenges related to scalability and resource optimization i
 n big data environments. Finally\, we&#39;ll introduce how AI techniques—suc
 h as intelligent workload management and adaptive query optimization—can
  be leveraged to enhance performance and efficiency in Spark-based archite
 ctures.\n\nCo-sponsored by: Fairleigh Dickinson University\n\nSpeaker(s): 
 Hina Gandahi\n\nAgenda: \nFairleigh Dickinson University\n\n1000 River Roa
 d\, Building: Muscarelle Center\, Room Number: 105\n\nTeaneck\, New Jersey
 \, United States 07666\n\nFor additional information about the venue and p
 arking\, please contact\n\nDr. Hong Zhao\n\nzhao@fdu.edu\n\nVirtual: https
 ://events.vtools.ieee.org/m/486209
LOCATION:Virtual: https://events.vtools.ieee.org/m/486209
ORGANIZER:zhao@fdu.edu
SEQUENCE:41
SUMMARY:Architecting Scalable AI Workflows with Apache Spark in Big Data En
 vironments
URL;VALUE=URI:https://events.vtools.ieee.org/m/486209
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;M
 soNormal&quot;&gt;In this talk\, we will explore the core components of Apache Spa
 rk and examine what makes it a powerful and efficient engine for large-sca
 le data processing. We&#39;ll discuss how Spark achieves performance through i
 n-memory computing\, DAG execution\, and parallelism\, while also highligh
 ting common challenges related to scalability and resource optimization in
  big data environments. Finally\, we&#39;ll introduce how AI techniques&amp;mdash\
 ;such as intelligent workload management and adaptive query optimization&amp;m
 dash\;can be leveraged to enhance performance and efficiency in Spark-base
 d architectures.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Fairleigh Dickinson Unive
 rsity&lt;/p&gt;\n&lt;p&gt;1000 River Road\, &amp;nbsp\;&lt;span class=&quot;sublabel&quot;&gt;Building:&lt;/s
 pan&gt; Muscarelle Center\, &lt;span class=&quot;sublabel&quot;&gt;Room Number:&lt;/span&gt; 105&lt;/p
 &gt;\n&lt;p&gt;Teaneck\, New Jersey\, United States 07666&lt;/p&gt;\n&lt;p&gt;For additional in
 formation about the venue and parking\, please contact&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Dr.
  Hong Zhao&lt;/strong&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;a href=&quot;mailto:zhao@fdu.edu&quot; target=&quot;_
 blank&quot; rel=&quot;nofollow noopener noreferrer&quot;&gt;zhao@fdu.edu&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;
 &lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;
 nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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