The control plane oversees deployment, tracks resources, and ensures consistency and reliability. It provides a centralized dashboard for monitoring and ensures cohesion among teams and projects.
The Market Plane simplifies data discovery, empowering data consumers to discover and access data products. With a flexible graph-based configuration, it adapts to new scenarios while maintaining governance and access controls. Organized into hierarchies of domains, systems, and components, ensure seamless collaboration across environments.
Enable secure and efficient data business data discovery across domains with, on-premise, and cloud environments. Break down silos, connect teams, and unlock the full potential of your data with an intuitive interface.
Discover how Witboost can transform your business data discovery.
Find out how a European infrastructure powerhouse saved over €10 million in risk-associated costs and hundreds of hours on data products using Witboost
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:
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