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PRODID:-//ChamberMaster//Event Calendar 2.0//EN
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20131014
DTEND;VALUE=DATE:20131019
TRANSP:TRANSPARENT
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
SUMMARY:Class: Big Data\, From Here To There
DESCRIPTION:This course brings together several key technologies used in manipulating\, storing\, and analyzing big data. We look at the details of Hadoop and related tools providing SQL-like access to unstructured data: Pig and Hive.\n\n\n\nWe will also analyze so-called NoSQL storage solutions like HBase\, Cassandra\, and Oracle NoSQL\, for their critical features: speed of reads and writes\, data consistency\, and ability to scale to extreme volumes. And we will examine memory-resident databases and streaming technologies allowing analysis of data in flight.\n\n\n\nA large section of the course is devoted to the methods of statistical analysis\, where we will work with Open-Source frameworks like Mahout and Open R and other statistical tools including taking a look at public Cloud as a resource for big data analytics.
X-ALT-DESC;FMTTYPE=text/html:This course brings together several key technologies used in manipulating\, storing\, and analyzing big data. We look at the details of Hadoop and related tools providing SQL-like access to unstructured data: Pig and Hive.<br />\n<br />\nWe will also analyze so-called NoSQL storage solutions like HBase\, Cassandra\, and Oracle NoSQL\, for their critical features: speed of reads and writes\, data consistency\, and ability to scale to extreme volumes. And we will examine memory-resident databases and streaming technologies allowing analysis of data in flight.<br />\n<br />\nA large section of the course is devoted to the methods of statistical analysis\, where we will work with Open-Source frameworks like Mahout and Open R and other statistical tools including taking a look at public Cloud as a resource for big data analytics.
LOCATION:Tyson's Corner
UID:e.1206.1216
SEQUENCE:3
DTSTAMP:20260413T175745Z
URL:https://business.loudounchamber.org/events/details/class-big-data-from-here-to-there-10-14-2013-1216
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