Showing posts with label nodes. Show all posts
Showing posts with label nodes. Show all posts

Friday, September 28, 2012

Customer Tips From... Scott Alessandro (MIT - Sloan School of Management)

The third edition of our customer tips series is brought to you by Scott Alessandro, Associate Director of Sloan Educational Services at MIT's Sloan School of Management. Scott is a long-time and avid Veera user who has been very creative with his applications of the software. Here are his tips: 

1. You are able to remap your data files by clicking on the connection icon either under the connections menu or in the job on the actual file. When I first started using Veera, I was afraid to move files around as it would break connections. Now I know better.  


2. Use the Find DeDup or Remove Dup node when you are working with a data file for the first time. You will be surprised how often duplicate records exist in data files (well, really we should not be surprised, but sometimes are).

3. With the output node, you can check or uncheck the columns you want to include. This is especially useful when you are using transform or merge nodes. I like to keep all of the columns throughout my job and then only select out the relevant ones in the output node. Helps you to keep track of what you are doing within a job (especially also if you create a ‘test’ output you move around the job).

4. Use ‘Set Run Order’ when you have multiple outputs in a job or a job that relies on one output to run another output. Akin to that, in the Merge node, you can also change the order that files are merged together by right clicking on the file number. Since I like to merge a lot of different files together, it is useful to be able to change the merge order especially if you add files later. 


5. Right click on a job to make a copy and then paste it onto the workspace.

6. In Cleanse, can multi-select columns and run the same type of cleanse, rather than selecting each column individually. 
7. Use the Rename node to re-order columns.

...Have tips of your own? Email them to caitlin.garrett@rapidinsightinc.com!

Tuesday, July 24, 2012

Updated Features in Veera 4.1


The new and improved version 4.1 of Veera has quite a few updates. Here are 12 of the biggest changes you'll see when you update your version:

1. Transforms can now be saved for future use. If you have a useful formula or transform that you’d like to save to apply to multiple datasets, this means you can save the whole transform and export from or import into other jobs as needed.

2. Cache node now has a ‘view data’ option. So, once a cache is full, you can see what the data looks like at that point in a job, rather than having to check it out an output.

3. When using a Combine Input node, you can now create a “file date created” column and a “file modified column” to better track the dates associated with each of the files you’re importing.

4. Job and data view windows can now be un-docked and float outside of the main Veera window.

5. Sampling node now has ‘range’ option. Instead of having to sample records from the top or bottom of a dataset (if you didn’t want to sample randomly), you can now choose which range of records you’d like to sample from.

6. Sampling node is also parameterized. You can set a parameter to prompt you for the number of records to sample in each sample node.

7. When restoring connections, Veera will now Auto-backup in case anything was to go wrong with the restoration process.

8. A “busy” window will now show when Veera Client is connecting with the server.

9. Setting run order can now be done from a list rather than having to click on each output in the order you’d like them to run.

10. The Quantile node now allows you to choose whether to sort values in a descending or ascending order.

11. Fields on an Excel Output file can now be parameterized. So, if you’re running jobs with a particular parameter, this parameter can now be included as part of the outputted field names.

12. The new Variable Reduction node has now been implemented. When available, Variable Reduction will filter down the variables in your dataset so that you’re only looking at variables that are statistically significantly related to your chosen Y-variable from that point forward. 

...As always, we update our packages based on our customers' ideas and needs. If you have any feedback or ideas regarding either of our packages, we encourage you to leave them in the comments or email us directly. We'll make sure your ideas find their way to the right person.  


-Caitlin Garrett, Statistical Analyst