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URL:https://www.learndesk.us/class/5272322007105536/lesson/440bc38841a0f497c42470f37452e136?ref=outlook-calendar
SUMMARY:Other Tools Used to Analyze Big Data
DTSTART;TZID=America/Los_Angeles:20260417T190000
DTEND;TZID=America/Los_Angeles:20260417T200000
LOCATION:https://www.learndesk.us/class/5272322007105536/lesson/440bc38841a0f497c42470f37452e136?ref=outlook-calendar
DESCRIPTION: 
Other Tools Used to Analyze Big Data
Other tools are out there too. One that receives a lot of attention is Apache Spark. The main selling point of Spark is that it stores much of the data for processing in memory, as opposed to on disk, which for certain kinds of analysis can be much faster. Depending on the operation, analysts may see results a hundred times faster or more. Spark can use HDFS, but it is also capable of working with other data stores, like Apache Cassandra or OpenStack Swift. It's also fairly easy to run Spark on a single local machine, making testing and development easier.
Other big data tools
Of course, these are not the only big data tools out there. There are countless open source solutions for working with big data, many of them specialized for providing optimal features and performance for a specific niche or for specific hardware configurations.
The Apache Software Foundation (ASF) supports many of these big data projects. Here are some that you may find...

https://www.learndesk.us/class/5272322007105536/lesson/440bc38841a0f497c42470f37452e136?ref=outlook-calendar
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