Enhance the development Experience of the Data Producers through templates and automate the Data Projects deployment.
Created reusable, tested, and validated templates that are fully automated and are instilling best practices and software quality, thus becoming tech agnostic.
Use the Starter Kit to rapidly adopt any technology and leverage its specific provisioning blueprints, making the platform truly self-service.
Help the Platform Team deliver a faster Self-Service Platform with a unified Control Plane for Data Governance.
Create computational policies acting at run time and deploy time, collecting results in a unified location for better auditing and monitoring.
Allow all the Data Consumers to discover Business relevant information, automating the access.
Search and discover all your data projects in a single view within the Marketplace. Derive business insights from all of your domains.
Enhance the development Experience of the Data Producers through templates and automate the Data Projects deployment.
Created reusable, tested, and validated templates that are fully automated and are instilling best practices and software quality, thus becoming tech agnostic.
Use the Starter Kit to rapidly adopt any technology and leverage its specific provisioning blueprints, making the platform truly self-service.
Help the Platform Team deliver a faster Self-Service Platform with a unified Control Plane for Data Governance.
Create computational policies acting at run time and deploy time, collecting results in a unified location for better auditing and monitoring.
Allow all the Data Consumers to discover Business relevant information, automating the access.
Search and discover all your data projects in a single view within the Marketplace. Derive business insights from all of your domains.
In the competitive vertical of Banking where accurate and reliable data, as well as security, are crucial for an organization's success, our client has been powering its adoption of a new data architecture with Witboost since February 2023. Adopting a new architecture as the world's 34th largest bank by assets is no easy task.
With Witboost, users skillfully navigate and use the platform with minimal effort and domains are providing a wealth of self-service facilities, including Storage, Data Ingestion, Orchestration, ETL, SQL Access, Kafka, and Stream Processing.
Since then, they have released over 50 Data Products and are set to release another 50 in the upcoming months. This speed has been achieved with the implementation of golden paths, with minimal effort and often without the full knowledge of the specific principles that are usually required.
Learn how Poste Italiane orvercomes the limitations of DWH by switching to a Data Mesh Architecture using Witboost. This move enabled their omnichannel strategy to flourish and obtain business-level speeds with decentralized domains, infrastructure as code principles, and interoperable data products. Using Witboost's automation and technology agnostic capabilities, they reduced new opportunities' time to market.
Explore how Scania uses Witboost to implement Data Mesh. Their multiple business units, spanning across the world, had to communicate with a centralized IT and Engineering team, creating friction. Witboost's collaboration and template/scaffolding features, together with its Provisioning and Governance capabilities significantly reduced organization-wide adoption and decentralization of the business units.
Try out Witboost by cloning templates, creating policies and building data components. Here’s an example based on Covid-19 datasets:
Covid datasets are your operational system, and now you need to start to craft domains and Data Components in the analytical space. In this context we have three domains:
The overall documentation is guiding you to create your first Data Components about vaccinations, but then you can continue to create other Data Components also in other domains and connect them to each other.
The technological stack is already integrated in the playground so there is no much work for the Platform Team, even if they can create new governance policies. Instead, the Data Component team can start to clone templates and follow this walkthrough.
This sandbox starts with all permissions needed in order to implement all the required features and process and share data as a product.
Our goal is to set up a workflow that automatically reads Vaccination CSV data from Google's Covid Dataset, stores it in a database, and creates an output port for users and other data components to read from. In order to achieve that, we will use:
The following illustration summarizes the proposed solution for a Data Component architecture:
Want to see more of what Witboost can do?
Make it your Playground!
