Data Lakehouse
Fujitsu’s approach to building Data Lakehouses provides a rapid and low-risk approach to building a centralized data and analytics platform. Leveraging pre-built specialisted data engineering patterns and capabilities, Fujitsu will accelerate the delivery of a robust and scalable data lakehouse and reduce implementation risk. This repeatable pattern ensures consistency and efficiency, allowing you to focus on your business goals rather than complex technical challenges.
The resulting data lakehouse serves as a single, integrated repository for all your data, enabling a unified view for reporting, analytics, and data science. This centralized approach eliminates data silos and promotes data governance, ensuring data quality, security, and accessibility. We implement robust security measures to protect your data, ensuring compliance with industry regulations and safeguarding your valuable data assets.
Our data lakehouse design prioritizes scalability and future flexibility, ensuring your platform can evolve and adapt to changing business needs. This holistic approach empowers you to unlock the full potential of your data, driving informed decision-making, accelerating innovation, and achieving your strategic business objectives.
Depending on your preferred cloud architecture approach, Fujitsu has a variety of pre-built solutions (“accelerators”) that we can deploy to reduce cost, time and risk in the development and deployment of a lakehouse solution for you. These are:
Fabric Accelerator
Our Fabric Accelerator quickly creates a cloud-based data platform, combining data lake and warehouse technologies, and aligns with Microsoft's tech for rapid, informed decisions. This solution has been built with Microsoft collaboration and delivers metadata-driven data integration pipelines with:
- Built in quality assurance
- Versatile data source handling and
- Security and privacy by design
Lakehouse Accelerator with Databricks
The Lakehouse Accelerator combines the best of data lake solutions and data warehouse technologies to fast track the creation of a cloud based data platform powering your digital transformation and empowering everyone to make better and faster decisions, and be ready to take advantage of future AIML opportunities.
Azure Data Factory Accelerator
Our Azure Data Factor Accelerator is a meta data driven framework that enables customers to rapidly ingest data from a large variety of sources and store this data in Azure Data Lake and Azure SQL for analysis and value creation. It has native integration with Azure:
- Azure Data Lake Gen2
- Azure SQL
- Azure Synapse
- Azure Databricks & Azure ML
- Azure Functions App & Azure Event Grid
- PowerBI
Case Studies
Nigel Rablin
Fujitsu’s Lakehouse Accelerator family uses metadata-driven pipelines in a standard design format that reduces time to value and risk in Lakehouse Projects.
