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UID:01a1989d-2ca2-72f1-9485-a58067fc622f@www.devopschat.co
DTSTAMP:20261106T130414Z
DTSTART:20200220T160000Z
DTEND:20200220T170000Z
SUMMARY:Handling Data at Petabyte Scale
DESCRIPTION:"""\nEver wondered how organizations are handling the petabytes
  of data being generated today? Data analytics traditionally ran on a sing
 le monolithic database but have now evolved to depend on several specializ
 ed components including at the compute\, storage\, and file-format layers.
  In this talk\, we will discuss how to achieve data analytics at scale by 
 integrating multiple specialized components such as Hadoop\, Spark\, Tenso
 rFlow\, Vertica\, etc..\n\nSome of the challenges at this scale include co
 nsistent results\, data security\, and ease of use. I will describe a few 
 solutions to these challenges.\n\nAnother interesting facet of this space 
 is the co-existence of open-source (Spark\, Hadoop) and enterprise product
 s (Vertica) and I will share some insights into how they work together.\n"
 ""\n\nDeepak Majeti is a technical lead at Vertica\, Pittsburgh where he l
 eads the Vertica SQL on Data Lakes product. He is also a PMC member of the
  Apache ORC Project and a committer of the Apache Parquet Project. Deepak 
 enjoys hikes\, board games\, and loves science fiction.\n\nhttps://www.dev
 opschat.co/meetings/handling-data-at-petabyte-scale
URL:https://www.devopschat.co/meetings/handling-data-at-petabyte-scale
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