Revolutionizing Business Intelligence with Witboost and GoodData
Streamline BI with Witboost and GoodData by automating lifecycle management, ensuring robust governance, and enhancing self-service capabilities.
In-depth articles discussing the best frameworks, methodologies, principles, practices, use cases, guides, and models that cover everything from Data Governance policies to Data Mesh architectures.
Streamline BI with Witboost and GoodData by automating lifecycle management, ensuring robust governance, and enhancing self-service capabilities.
Learn about the importance of DORA (Digital Operational Resilience Act) for banking, financial, and insurance companies and how to comply with it...
Explore the structured approach of data product management, its phases and the roles of data product teams, consumers, and the supportive Platform...
Explore the power of synthetic data in Data Mesh architecture. Learn how to leverage Tonic.ai in Witboost for automating data operations.
Discover the potential of data contracts in Witboost and how they enhance data quality, governance, and interoperability.
Learn how to automate the creation of snowflake structures, workspaces and workloads with Witboost's built-in templates.
Explore a highly configurable knowledge graph that manages data platform assets that is designed to be technology agnostic with a layered...
Discover the role of Data Mesh Observability in decentralized data ecosystems. Explore its conceptual aspects that can enhance data product quality.
Explore proactive data governance with Governance Shift Left. Navigate challenges, embrace strategies, and transform data management paradigms.
Enhance Data Governance efficiency with the Governance Decision Record framework. Improve computational governance for structured data practices.
Companies commit errors by staking their Data Mesh implementation on technology when the entire paradigm shift is based on a technology-agnostic...
When it comes to modelling Data Products people go into panic. There are no clear rules, only some conceptual and not actionable indications.
How do we identify Data Products in a Data Mesh environment? Data Product Flow can help you answer that question.
Integration patterns between operational and analytical monoliths with a data mesh and some use cases.
The race to become a data-driven company is increasingly heated, challenging the data engineering practice foundations.
Automation can help companies in reaching the scale of their Data Mesh journey
Data Mesh is completely changing the perspective on how we look at data inside a company. Read what is Data Mesh and how it works.
Data Mesh is completely changing the perspective on how we look at data inside a company. Read what is Data Mesh and how it works.
Data Mesh is completely changing the perspective on how we look at data inside a company. Read about what Data Mesh and how it works.