RapidMiner 7.5 performance is fully upgraded !
What's new in the new version: increased performance for both in-memory and Hadoop workloads, new and improved cloud operators, prettier graphs, and much more.
Here’s the full list of what’s new:
1. Refer a friend, get more data
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Know someone who should be using RapidMiner Studio? RapidMiner Studio Free users can now refer a friend and get up to 10,000 additional rows of data for each referral.
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To receive the additional rows of data, your friend must download RapidMiner Studio and create an account. RapidMiner Studio Free users can refer up to 4 friends,
for a total of 50,000 rows of data.
2. In-memory performance improvements
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Lower memory footprint through more compact data representations.
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Sparse datasets are detected and dealt with for an increase in efficiency.
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The data core now keeps data in a columnar format,which significantly speeds up many data preparation tasks.
3. Hadoop performance improvements
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A new mechanism has been implemented to manage Spark containers for in-Hadoop data preparation (using Hive-on-Spark) with greatly reduced latency.
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You can now run multiple parallel jobs in a Hadoop cluster using the new parallel Loop and Loop Attributes operators available with RapidMiner Radoop.
4. Improved integration with popular cloud platforms
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New operators have been added for reading and writing data to/from Microsoft’s Azure Blob Storage.
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• The Read Amazon S3 and Write Amazon S3 operators now support KMS encryption.
5. New product tutorials
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There are two new tutorials for RapidMiner Server and RapidMiner Radoop.
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We’ve added a new mechanism to provide help and important announcements to the user directly inside RapidMiner Studio.
6. Improved graphs
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We’ve revised all graph visualizations in the results view, including Decision Tree graphs, clustering, association rules, and a few more.
7. Better machine learning in Hadoop
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The SparkRM operator now includes the Bootstrapping algorithm to easily create ensemble models including Random Forest.
8. Increased security with RapidMiner Radoop
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RapidMiner Radoop now supports the option to use different databases for UDFs and for temporary tables.