Anjana Data launches its version 2.0 with capabilities improvements and functionalities and new configuration, adaptation and customization features in order to implement agile, flexible, proactive and collaborative data governance.
The year 2020 has brought for Anjana Data an evolution in terms of its functionalities and features, both technical and usability, which provide a differential value in the final objective of achieving an effective and efficient Data Governance, necessary to turn data into a strategic asset of any organization.
Following the same vision and philosophy of the collaborative approach focused on metadata, we have worked in four main ways:
Below we detail the new capabilities improvements that Anjana Data’s version 2.0 offers:
With the premise of delivering a version that is easy to use and fulfills the function of being the central solution for data governance in an organization, Anjana Data presents improvements in the user experience and interface through substantial changes in different screens of the application such as the Data Portal, the detail views of the objects, the lineage graphs, the management of the workflows and the Administration Panel.
The Data Portal includes a more advanced and optimized search engine, dynamic filters, new more intuitive icons and more condensed information to facilitate the search and discovery of governed data assets. In addition, the solution now allows to visualize the properties of the objects with different views to adapt to the user’s consumption needs and also simplifies the process of massive loading of objects both from Excel and by automatic import making use of the available connectors or the API.
In relation to the lineage and traceability graphs, new elements are included to facilitate their interpretation, such as the representation of the users adhering to DSAs, directional arrows that indicate the direction of the data flow (datasets input >> process/instance >> datasets output) and the differentiation of related process instances with respect to the own ones for the solutions.
As for the visualization of workflows, new ways of consuming the information are also available in order to have a global vision of the requests, facilitating their follow-up and offering the possibility of having all the detail available at the click of a button.
Finally, to facilitate the configuration and administration of the solution, a new front panel is presented from which all the parameterization, management and maintenance tasks of the government model can be carried out graphically (business areas, roles, users, permissions, workflows, taxonomies, passive vs. active government, connections, parameter catalogues, tags, …).
In the new version, Anjana Data’s CORE Metamodel has not only been extended with additional metadata but also offers now the possibility to modify the templates for the different objects. This allows the centralization of taxonomy management and the inclusion of new metadata over time, according to the needs of the organization.
In addition, users will be able to add specific metadata to individual objects according to their permission settings and will be able to have predefined data type catalogues for some fields based on supported technologies and formats.
Being the only data governance solution that offers active government and dynamic lineage agnostic to data storage and processing technologies is not easy and, therefore, this new version of Anjana Data brings with it a new simplified architecture, specifically designed to facilitate interaction with any technology through the use of services and offering in-memory computing capabilities with unlimited horizontal scalability (yes, unlimited, Big Data style).
Similarly, to allow full interoperability and ensure quick and easy integration into any technology scenario, Anjana Data has a new optimized public API layer that is fully documented. This layer has been extended with new features to offer all the capabilities of Anjana Data to the outside world both inbound and outbound.
In addition, work has continued on native integration with different vendors and technologies such as the entire Cloudera stack (CDH and CDP), any stand-alone Hadoop cluster that uses technologies such as Sentry, HDFS, Impala, Hive, Spark 2.x, … and support for all technologies that comply with the JDBC standard (mostly relational databases, both On-Premise and Cloud).
In this way, it has been possible to evolve a solution that offers the different roles involved, a better work dynamic and optimal management of metadata that facilitates the extraction of value to the business and decision making.
This new version offers our customers capabilities improvements and a significant leap in quality but, of course, we are already developing the next version which will be launched in April this year. What can we find in this next version?
