Our newest release is a major generational leap which brings significant expansion of the platform’s capabilities. We are introducing a new interface for self-service data preparation for business users – CloverDX Wrangler – and a new interface for sharing data within your organization – CloverDX Data Catalog.
Both Wrangler and Data Catalog are aimed at business users who can create data transformations without having to learn coding or complexities of CloverDX Designer. They will be able to simply pick their data source and create their first transformation within minutes. Watch our quick into video below to learn more about how Wrangler and Data Catalog can help you manage your data.
We’ve made many improvements to CloverDX libraries. Libraries can now contain new types of entities called data source connectors that can be used to share data with Wrangler users via Data Catalog. Connectors use our new refined permissions system that allows you to configure who can see connectors and the data they provide.
With this release we are dropping support for Oracle JDK 8 and we will no longer support deployments of CloverDX Server into Open Liberty application container.
CloverDX 6.0 is an evolution of CloverDX 5.x platform. It builds on top of the foundation of CloverDX 5.x and adds new functionality to allow wide range of users to build and run their data jobs. The deployment model is still as simple as before – you install a single application that hosts all the interfaces offered by CloverDX 6.0. The new architecture is illustrated on the following diagram:
You will not lose any functionality by upgrading to CloverDX 6.0 and you can continue to use the platform as before. This also means you do not need to install any additional dependencies and can take advantage of CloverDX 6.0 features as needed.
CloverDX Wrangler is a new interface that will allow non-technical users to create, edit and run data transformations. It is a web-based interactive environment designed to make the process of creating a data transformation as easy as possible. You can access it directly from your browser by going to https://my-cloverdx/clover/wrangler (where my-cloverdx is the address of your Server instance) or from the Server’s log-in page.
To create transformations in Wrangler, you do not need to learn any coding. You can work with data interactively by adding and configuring transformation steps. The preview of your data will change in real time in response to the changes you are making.
CloverDX Data Catalog collects and indexes information about the data you have available within your organization. It allows you to search this metadata so that you can find the dataset you need. Once you’ve found what you need, you can start working with your data right away with a single click – you’ll be taken into the Wrangler interface where you can build your transformation.
CloverDX Data Catalog interface is part of Wrangler and can be accessed by going to Wrangler via https://my-cloverdx/clover/wrangler (where my-cloverdx is your Server's address) and selecting Data Catalog from the menu on the left side.
Data sources that are indexed by the Data Catalog are managed by the Server administrator. To add a new data source, the administrator can install a library - either built in-house or downloaded from our CloverDX Marketplace. This way, only verified and trusted sources are shown in the catalog and administrator has full control over who can see and work with the data.
In this release, we’ve made significant improvements to CloverDX libraries. You can now include a new entity called data source connector in a library. A data source connector is a subgraph that can be used to share data with Wrangler users. Connectors and their properties are indexed by the Data Catalog which then allows users to quickly find the connector they need.
We’ve also added the ability to install a single library multiple times. This can be used to, for example, install two copies of a single library to access an accounting system and configure each to work with different instance (e.g., accounting for different branch or a region). This way, Data Catalog users will see separate connectors for each accounting system instance which will help them work with correct data set as needed.
FlatFileReader support for incomplete rows
FlatFileReader component now supports files which have fewer columns in the data than in the header. It is quite often the case that the last fields are excluded from CSV files if they are empty. Dealing with such files required various tricks before. With the new FlatFileReader these files are supported natively.
“Everyone” security group
We’ve introduced a new group called Everyone in CloverDX Server. This group is automatically maintained by the Server to include every user and is most useful when working with permissions. It can be used to quickly give access to a feature to every user.
With CloverDX 6.0, we no longer support Oracle JDK 8.0 deployments for CloverDX Server. To continue using CloverDX 6.0, you will have to upgrade your Java to one of the supported versions – Eclipse Temurin JDK 11, Bellsoft Liberica OpenJDK 11 or RedHat OpenJDK 11.
We are also dropping support for Open Liberty application server. To continue using CloverDX, please migrate to a different application container like Tomcat, Red Hat JBoss Web Server or VMware tc Server.
To help you install or upgrade to this version, we've prepared a simple checklist:
Before You Upgrade
Designer Upgrade
Server Upgrade
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Wrangler & Data Catalog
Libraries
Miscellaneous
Security
Fixes
Compatibility
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April 04, 2023 | Documentation Download CloverDX 6.0 6.0.0 |