May 4, 2020
Trifacta® started out as a company focused on creating a new and easy-to-use experience for structuring, cleaning, blending, and aggregating data. Over the years, we saw more and more of our customers using Trifacta Wrangler Enterprise not only to clean data, but to deploy data preparation recipes into data pipelines that feed analytics processes, AI workloads and more. The feedback we got is that legacy tools for data pipelining were rigid and hard to use. Trifacta Wrangler Enterprise was not only useful for self-service data preparation, but the intelligent, visual interface made it easier for users to discover and clean data quality issues, uncover and extract new insights in data, and build and deploy data pipelines faster. A big focus of our development work over the last year has been to expand our capabilities in automation and data pipelining, and this release has several features that enhance the ability to create robust and agile data pipelines.
Pipeline Orchestration with Plans
In the Spring 2020 release, Trifacta Wrangler Enterprise has a new core feature – Plans. Plans provide a command center within the UI to orchestrate data pipelines. Plans allow for the sequencing of flows and jobs, bulk scheduling and running of jobs and organization of job runs, webhooks, and other tasks.
We are really excited to see where we can go with this feature and will be continuing to improve it over time to make it more flexible and incorporate more areas of the product in Plans.
Enhanced Flow View
Available as a Beta release on Trifacta Wrangler Enterprise only, enhanced flow view improves the user experience when working within a flow. Users can now drag and drop datasets, recipes, and outputs, can zoom in and zoom out, and leave comments and notes within the flow. You can also utilize multi-select with command/ctrl + drag. Additionally, users can now initiate joins and unions within the flow view. To check it out, you can toggle between the new flow view and the old flow view from the Flow View context menu.
Enhanced flow view will be available across all product editions in the next release.
Also new in the Spring 2020 release, flow parameters expand the possibility of templatized recipes and flows in Trifacta Wrangler Enterprise. Users can create dynamic filters, if/then statements, patterns, flags, etc. that allow them to control the output of a flow from one job to the next, without having to modify steps in the recipe each time. Parameters can be added to steps like filters, new formulas, extracts, and replaces.
After a parameter is added, users then have control at time of job execution to choose the value for their output. For example, in the screenshot we can toggle between “click” and “view”, which will either keep rows where event_type equals “click” or “view”:
Parameters can be passed in manually or by API calls. Flow parameters improve reuse within the product, because recipes can now take in different values depending on the underlying data the recipe is being used for, adding to the vision of wrangle once, use everywhere. Flow parameters should reduce the need for copies of flows and recipes, and they also allow users to pass in data from third party systems via the API, adding additional flexibility to the product.
Talk to Trifacta Wrangler Enterprise Experts Live
If you have been using Trifacta Wrangler Enterprise recently, you may have noticed a new chat widget in the bottom left of the UI. Having difficulty figuring out what step you want to use? Running into a problem or just in need of additional support? Start a conversation with us to get help immediately!
NOTE: For more information on enabling this feature in your Trifacta Wrangler Enterprise deployment, please contact Trifacta Support.
Tableau Server Publishing Enhancements – Support for Hyper
The Spring 2020 release brings improvements to direct publishing to Tableau Server. Trifacta Wrangler Enterprise now supports publishing in Hyper format to Tableau Server, which should provide faster performance, easier configuration, and improved automation through scheduling.
NOTE: Support for publishing to TDE had already been deprecated by Tableau. It is likely to be deprecated in Trifacta Wrangler Enterprise in a future release. Please switch to using Hyper format.
New Transformation Functions
The Spring 2020 release brings a new set of Date functions, covering date aggregation functions, timezone conversion functions, workday functions with regionality, and more. The functions are all listed in the table below:
Date calculation functions:
Computes the minimum value found in all row values in a Datetime column.
Computes the maximum value found in all row values in a Datetime column.
Computes the most frequent (mode) value found in all row values in a Datetime column.
Work day functions:
Calculates the number of working days between two specified dates, assuming Monday - Friday workweek. Optional list of holidays can be specified.
Calculates the number of working days between two specified dates. Optionally, you can specify which days of the week are working days as an input parameter. Optional list of holidays can be specified.
Calculates the work date that is before or after a start date, as specified by a number of days. A set of holiday dates can be optionally specified.
Calculates the work date that is before or after a start date, as specified by a number of days. You can also specify which days of the week are working days and a list of holidays via parameters.
Time zone conversion functions:
Converts Datetime value to corresponding value of the specified time zone. Input can be a column of Datetime values, a literal Datetime value, or a function returning Datetime values.
Converts Datetime value in specified time zone to corresponding value in UTC time zone. Input can be a column of Datetime values, a literal Datetime value, or a function returning Datetime values.
Converts Datetime value in specified time zone to corresponding value second specified time zone. Input can be a column of Datetime values, a literal Datetime value, or a function returning Datetime values.
These functions make it much easier to work with dates in a single step, rather than relying on complex transformations to do timezone conversion or even user defined functions. These all now come out of the box!
For the full Release 7.1 release notes, see Release Notes 7.1.
For more information on previous releases, see Past Releases.
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