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CREATED:20260419T075205Z
DESCRIPTION:The webinar will be presented by Andrey Alexandrov, Senior Software Engineer at GridGain. 
\nApache Ignite and Spark are complementary in-memory computing solutions that can be used together to achieve superior performance and functionality to process SQL data.
\nWhen Ignite is used as a data source for Spark, Ignite provides mechanisms, such as SQL indexes and data co-location across tables, that optimize SQL for Spark. Also, although the order of the inserted data is important to many data sources, it is not important to Ignite. Therefore, Spark SQL queries that use Ignite as a data source run much faster than Spark SQL queries that use other data sources, such as HADOOP.
\n \nIn this webinar, you learn when to use Ignite, and, using real-world examples, you learn how to configure Spark-Ignite integration...In addition, you learn about optimization techniques and best practices. Topics include the following:
\nMethods for loading data from Spark to Ignite\nMethods for reading data from Ignite via Spark\nMethods for working with Ignite data frames\nThe benchmark results for using Ignite-Spark  integration to load and query a large amount of data\nTips for debugging Ignite-Spark integrations\n
DTSTART:20210428T190000
DTEND:20210428T200000
DTSTAMP:20260419T075205Z
LOCATION:Online
PRIORITY:5
SEQUENCE:0
SUMMARY;LANGUAGE=es-es:Tecnowebinars.com - :: Spark con Apache Ignite para el procesamiento de Big Data
TRANSP:OPAQUE
UID:e57002ebb0627d9922ffd6ff624ec5f9 Tecnowebinars.com
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