BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CSCAR - ECPv4.9.3.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:CSCAR X-ORIGINAL-URL: X-WR-CALDESC:Events for CSCAR BEGIN:VEVENT DTSTART;TZID=America/Detroit:20181009T140000 DTEND;TZID=America/Detroit:20181009T163000 DTSTAMP:20190718T034229 CREATED:20180709T144700Z LAST-MODIFIED:20181101T131301Z SUMMARY:SparkSQL and DataFrames with PySpark DESCRIPTION:Apache Spark is a powerful open source processing engine built around speed\, ease of use\, and sophisticated analytics. Industry has quickly adopted Spark and deployed it at scale for processing big data. Its main advantage include in-memory processing and a rich set of operations for wrangling data using DataFrames. \nIn this workshop\, we’ll introduce attendees to SparkSQL and DataFrames for basic data manipulation\, file I/O and SQL querying. Spark has language bindings to R\, Python\, Scala and Java. We’ll be using PySpark (the Python API) in our workshop. The workshop is intended for users with ​INTERMEDIATE knowledge of R\, Python\, or comparable language. Attendees should be familiar with DataFrames in Python (pandas) or R (dplyr). \nAttendees will NEED to have a Cavium account beforehand to participate. \n URL: LOCATION:Modern Languages Building (MLB)\, Room 2001A CATEGORIES:Workshops ORGANIZER;CN="CSCAR" END:VEVENT END:VCALENDAR