This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
Generally, the release schedule at Alteryx consists of two major releases each year, and smaller releases as needed to fix critical issues or special requests. This week we will be launching a patch update to Alteryx that is a combination of critical fixes and minor updates.
The critical issue: Alteryx can sometimes become unresponsive when the computer it is running on goes in and out of sleep/hibernation or when the screen dimensions change dramatically like when attaching to dual monitors.
- In 10.1, we put in a fix to handle field renaming where we would recursivley rename field headers and wind up with unusable field names and it would take a really long time to complete. In applying this fix, we changed the behavior of renaming numerical field names. This was unintentional and we fixed this.
- We resolved a problem where inserting into a table that did not have columns in the table order failed.
This patch is now available from downloads.alteryx.com. We will be releasing one more update next week. The upcoming update will include support for Predictive Tools with R 3.2.3. If you work with predictive tools, you may want to wait until that update is released. We will activate the in product update notification next week with the Predictive Tools update.
With version 10.0, Alteryx extends our in-database capabilities to include support for platforms that came up in discussions with customers, prospects and partners as related to their ‘big data’ use cases, specifically Amazon Redshift, Cloudera Impala, Teradata and Spark. With the emergence of ‘data lakes’ as a single repository hosting multiple datasets, users face the need to blend and analyze larger volumes of data that would be inefficient to move around, making it the perfect use case for Alteryx in-database analytics.
I had been with Alteryx for about two months when I started hearing people talk about CEF [Chromium Embedded Framework]. I did a little digging on my own, and true to its name, found that CEF was a framework for placing chromium based browsers within applications. Shortly after, I learned I would have a chance to use this technology myself for the upcoming release of Alteryx.