BEGIN:VCALENDAR PRODID:-//github.com/rianjs/ical.net//NONSGML ical.net 4.0//EN VERSION:2.0 BEGIN:VTIMEZONE TZID:America/Phoenix X-LIC-LOCATION:America/Phoenix END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:
Amazon DynamoDB is a (popular) nonrelational database (NoSQ L) that delivers reliable performance at any scale. It's a fully managed on AWS\, multi-region\, multi-master database that provides consistent si ngle-digit millisecond latency\, and offers built-in security\, backup an d restore\, and in-memory caching.
\nTo use DynamoDB effectively\, one must understand key concepts like partition/hash keys or range/sort k eys to store NoSQL data\, scan vs query calls to access data\, projection s and expressions\, a mapper class for ORM\, global secondary indexing to allow adhoc querying\, asynchronous calls and batch read/write operation s.
\nAs a cloud offering\, Dynamo DB needs resource provisioning\, time to live and autoscale configuration aligned with your application's needs along with monitoring via Cloudwatch or 3rd party tools. In additio n\, Dynamo DB also provides in memory acceleration caching via DAX\, trig ger mechanism and data exports via data pipeline.
\nThis session wi ll cover how to effectively program for DynamoDB noSQL through judicious choice of:
\nExamples will be provided in Java\, Javascript/NodeJS and will walk th rough the AWS DynamoDB SDK and console with examples for table creation\, CRUD operations\, capacity management\, accelerator cache cluster config and security group settings.
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\nKeywords: Cloud\, NoSQL\, Dynamo\, AWS\, DAX\, Amazon\, Web Services\, Storage\, Database\ , DynamoDB \;DTEND;TZID=America/Phoenix:20181006T163000 DTSTAMP:20240328T131939Z DTSTART;TZID=America/Phoenix:20181006T153000 GEO:33.293070;-111.796620 LOCATION:Chandler - Gilbert Community College - IRN-227 ORGANIZER: SEQUENCE:0 STATUS:CONFIRMED SUMMARY:
Amazon DynamoDB is a (popular) nonrelational database (NoSQL) t hat delivers reliable performance at any scale. It's a fully managed on A WS\, multi-region\, multi-master database that provides consistent single -digit millisecond latency\, and offers built-in security\, backup and re store\, and in-memory caching.
\nTo use DynamoDB effectively\, one must understand key concepts like partition/hash keys or range/sort keys to store NoSQL data\, scan vs query calls to access data\, projections an d expressions\, a mapper class for ORM\, global secondary indexing to all ow adhoc querying\, asynchronous calls and batch read/write operations. p>\n
As a cloud offering\, Dynamo DB needs resource provisioning\, time to live and autoscale configuration aligned with your application's need s along with monitoring via Cloudwatch or 3rd party tools. In addition\, Dynamo DB also provides in memory acceleration caching via DAX\, trigger mechanism and data exports via data pipeline.
\nThis session will c over how to effectively program for DynamoDB noSQL through judicious choi ce of:
\nE xamples will be provided in Java\, Javascript/NodeJS and will walk throug h the AWS DynamoDB SDK and console with examples for table creation\, CRU D operations\, capacity management\, accelerator cache cluster config and security group settings.
\n \;
\nKeywords: Cloud\, NoS QL\, Dynamo\, AWS\, DAX\, Amazon\, Web Services\, Storage\, Database\, Dy namoDB \;UID:9f1fc759-61db-4eda-bd03-ad93ee8b071b END:VEVENT END:VCALENDAR