Data Lakehouse
A sovereign data foundation for BI and AI — open to any data source and format.
Reliable AI starts with trusted data.
Enterprise data is scattered across ERP and CRM systems, business applications, documents, and IoT environments. AltaSigma brings it together in one open data foundation, prepares it for different workloads, and makes it ready for BI, machine learning, deep learning, and AI agents — with centralized governance and control.
Connect data across the enterprise
Direct integrations and flexible data pipelines bring enterprise data together from across systems and sources, creating one open, unified data foundation for analytics, AI, and downstream applications.
One data foundation for BI and AI
Harmonized data powers analytics and AI workloads — from machine learning and deep learning to AI agents. An open architecture keeps data ready for the technologies and applications that matter.
Stay open. Avoid lock-in.
Open data formats and standardized interfaces keep data portable across analytics, machine learning, and AI technologies. Organizations remain free to choose the tools and technologies that fit their needs.
Centralize data access and governance
Centralized roles and permissions control who can access which data. Access policies apply consistently across the platform — from the user interface and notebooks to AI applications.
**From data to AI workloads:** AltaSigma brings data from diverse sources into one open data architecture, with centralized governance and ready access for BI, machine learning, and AI agents.
Data flows from bottom to top: data sources, ingestion, Bronze for raw data and staging, Silver for harmonized data, and Gold for curated data. Above these layers, AI Agents, Deep Learning, Machine Learning and BI use the prepared data. Open formats and centrally managed roles and permissions provide a shared foundation.
Curated data
Prepared for your analytics and AI use cases.
Harmonized data
Clean, standardize and combine data.
Raw data & staging
Ingest and store source data with traceability.
How the AltaSigma Data Lakehouse works
Connect data across the enterprise.
Bring data from existing systems and sources into AltaSigma through direct integrations and flexible data pipelines. Centralized access controls ensure that data is available to the right teams and applications under defined permissions.
Bring existing data into the lakehouse
Direct integrations and flexible data pipelines connect virtually any source system. S3-compatible object storage and Azure Blob Storage integrate directly with AltaSigma, making existing data available through centralized Data Management.
Connect additional data sources
Data pipelines bring data from databases, data warehouses, and business systems into a shared data foundation. Streaming data and continuous event flows, including Kafka, integrate seamlessly alongside batch data.
Govern data access centrally
Centralized roles and permissions define who can access which data. Access policies apply consistently across the platform — from the user interface and notebooks to AI applications.
Prepare data and build pipelines.
Explore, transform, and connect data in reusable processing workflows. From data discovery and preparation in the Workbench to automated pipeline execution, data engineering is integrated in one platform.
| kunden_id | kaeufe_12m | umsatz_12m |
|---|---|---|
| K-1001 | 12 | 420.50 |
| K-1002 | 8 | 289.00 |
| K-1003 | 24 | 865.20 |
| K-1004 | 5 | 156.80 |
Discover and qualify data
Data sources, buckets, folders, and files are directly accessible for exploration and preview. Centralized metadata provides visibility into available data, its structure, and its suitability for downstream processing.
Prepare data with the right tools
Python, PySpark, or no-code: the AI Workbench supports different approaches to data preparation. Data can be cleaned, harmonized, and connected, then shaped to meet the specific requirements of AI models and downstream applications.
Build and automate data pipelines
Individual processing steps become reusable data pipelines that can be centrally orchestrated and automated. The AltaSigma Orchestration module manages execution and scheduling, keeping data flows automated and downstream data continuously available.
Power AI and BI with trusted data.
Make harmonized data available across AI and analytics workloads. AI agents, machine learning, and BI run on open standards with centralized governance and full data sovereignty.
AI Agents
AI agents access enterprise data and documents within clearly defined permissions. Each agent operates within its authorized data scope, retrieving metrics, finding relevant information, and answering questions based on approved enterprise knowledge.
Machine Learning & Deep Learning
Prepared data is delivered in the structure required for model training and inference — supporting machine learning and deep learning workloads from forecasting and anomaly detection to image-based quality inspection.
Business Intelligence
Harmonized data provides a consistent foundation for analytics, reporting, and dashboards. Business teams gain a unified view of current metrics and trends, turning trusted data into better-informed decisions.
Data Lakehouse in action
How a financial services company turns thousands of data points into personalized marketing
2,000+ customer features powering personalized marketing at scale
A financial services company brings customer, transaction, and interaction data from multiple source systems into a multilayer Data Lakehouse on AltaSigma. Batch and streaming data are processed centrally and transformed into more than 2,000 reusable features per customer - with centralized governance and controlled data access.
These features provide the foundation for personalized customer engagement and predictive models. AI models consume the prepared data directly, making it easier to scale and continuously improve marketing use cases without rebuilding the underlying data foundation for every new application.
A data foundation built to scale with AI.
Open standards, centralized governance, and data sovereignty provide the foundation for scalable AI applications. AltaSigma connects data sources, standardizes data preparation, and makes trusted data available for BI, machine learning, and AI agents — under centralized control.
FAQs
A data warehouse is optimized for structured data, analytics, and reporting. A data lake provides flexible storage for data in virtually any format. A data lakehouse combines the flexibility of a data lake with powerful data processing to create a shared data foundation for BI and AI — from data integration and engineering to analytics and AI workloads.