Monarch Classic is Datawatch’s original Monarch solution which allows users to perform advanced operations such as extracting data from complex multi-structured sources like PDFs and Log Files, masking sensitive information, and tracing back to source documents using data lineage features.
While Monarch Classic includes the full range of features found in previous versions of Monarch, Monarch Complete includes everything offered by Monarch Classic plus the Data Prep Studio, the Datawatch Data Connectors for access to various database types, and the ability to export to Tableau, Qlik, and Angoss file formats. Aside from launching Monarch from the Start Menu, you can also get to Monarch from the Data Prep Studio by choosing Switch to Classic Mode or Open in Classic Mode.
Monarch provides different views of report data, each with its own set of functions and operations, allowing you to extract, view, summarize, and export data.
In Report View, you may browse through pages of the loaded report, adjust fonts, create a report index, add bookmarks, copy-and paste data, and perform a search. This is also the jumping-off point for template operations.
In Table View, you are presented with the information extracted from all the reports. Here you can create filters, sorts and formula fields, and gain access to Data Prep Studio and Datawatch Panopticon / Datawatch Designer.
In Summary View, table data may be grouped, filtered and sorted to define reports for analysis and determine patterns and trends.
Table and Summary data may then be exported into various formats such as Excel, Text, PDF and Microsoft Access. These may then be used for collaboration and analysis, or as inputs into another application.
In this series, we will go through the Basic features of Monarch – from opening reports, defining templates, creating summaries, and exporting the table and summary reports to different file formats.
This video was recorded on Monarch version 13.3.
For more information on this lesson, see Chapter 4 of the Monarch Learning Guide:
To learn more about Datawatch, visit http://www.datawatch.com/
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