A commitment to data products
Bülow-consulting is a data management firm that are committed to help customers on data journeys with data architecture, data engineering, data security and to the final data products.
Building Data Products in Secured Environments
Our professional services caters to a diverse clientele, ranging from small companies to large enterprises.
Data Governance
Policies and standards: Rules for quality, security, retention, and usage.
Roles and responsibilities: Data owners (business accountability), stewards (quality enforcement), and councils (oversight).
Data quality management: Profiling, validation rules, monitoring, and remediation workflows.
Security and compliance: Access controls, encryption, audit logs, and regulatory alignment.
Metadata and lineage: Catalogs tracking data origins, transformations, and impact.
Processes and tools: Frameworks like DAMA-DMBOK, implemented via Unity Catalog, Purview, or Collibra
Business Continuity
Business Impact Analysis (BIA): Maps critical processes, dependencies (data pipelines, air-gapped systems), and impact of disruptions.
Risk assessment: Identifies threats (cyber, vendor failure, compliance events) and mitigation priorities.
Recovery strategies: Backup sites, data replication, failover automation, alternate suppliers.
Response procedures: Incident command structure, communication plans, escalation paths.
Testing and maintenance: Tabletop exercises, full failovers, annual updates.
Data Architecture
Data sources: Databases, APIs, files, streams.
Ingestion/pipelines: ETL/ELT tools moving raw data into storage.
Storage layer: Data lakes/lakehouses (Delta Lake), warehouses (Databricks, Snowflake), marts.
Metadata & governance: Catalogs (Unity Catalog, Purview), lineage, quality rules, access controls.
Processing & transformation: Compute engines, modeling.
Consumption layer: APIs, BI tools, ML endpoints, real-time serving.
Security: Encryption, RBAC, auditing, compliance tagging.
Data Engineering
Data ingestion: Extracting data from sources using batch or real-time.
Data storage: Managing data lakes/lakehouses (Delta Lake), warehouses (Databricks, Snowflake), and databases with partitioning, compression, and lifecycle policies.
Data transformation: Cleaning, enriching, aggregating via Spark, dbt, or SQL—optimizing for quality, schema evolution, and performance.
Orchestration: Scheduling and monitoring pipelines with dependency management, retries, and alerting.
Data quality: Validation rules, profiling, anomaly detection integrated into pipelines.
Governance and security: Metadata tagging, lineage, access controls (Unity Catalog), encryption.
Data Architects
Our data architects can help improving the blueprint for how your organization collects, stores, processes, integrates, and consumes data to support your business goals.
Data Architecture
- Collaborate with fellow data architects through our network
- Showcase your data projects for us and get feedback
- Data architecture is the structural framework that connects business strategy to technical data systems.
- Data architecture specifies data models, flows, storage patterns, security rules, and integration methods—ensuring data is reliable, scalable, and accessible for analytics, AI, and operations.
Bülow-Consulting Newsletter
- Data management latest news.
- Case studies inspires data architecture.
- Exclusive access to data security insights.
“Bülow-consulting has protected our data with Microsoft Purview and has built the foundation for our data governance.”
Sebastian Mabillon
CISO, Bunker-Holding
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