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Data Warehousing & Lakehouse — Data & Business Intelligence
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02 · Data & Business Intelligence

Data Warehousing & Lakehouse

Central data models with SAP DWC, BigQuery, Microsoft Fabric and Hadoop/Cloudera.

Overview

We design and implement central data models — from classic data warehouses through modern lakehouse architectures to cloud DWH solutions. Platform choice is driven by your existing stack and requirements: SAP Data Warehouse Cloud, Google BigQuery, Microsoft Fabric, or Hadoop/Cloudera.

Dimensional modeling, slowly changing dimensions (SCD), and performance optimization are core competencies.

We ensure your data is structured, consistent, and queryable — as a reliable foundation for all downstream analytics and reporting needs.

Typical use cases

  • Building an enterprise data warehouse as single source of truth
  • Migration from on-premises DWH to cloud (BigQuery, Fabric)
  • Lakehouse architecture for structured and unstructured data
  • Dimensional modeling for complex business analyses
  • Data mart creation for specific business units

Technologies

Data engineering & ETL
IBM DataStage Microsoft SSIS Oracle ODI Talend Python Apache Spark SAP DWC Azure Data Factory GCP Dataflow
Databases
MS SQL Server Oracle Exadata PostgreSQL MySQL MariaDB MongoDB Google BigQuery Amazon Aurora Clickhouse Apache Hive Cassandra Elastic
Big data & streaming
Hadoop on Cloudera Apache Spark Apache Kafka MinIO
Reporting & visualization
Microsoft Power BI Microsoft Fabric Tableau Apache Superset Oracle OBI SQL Reporting Services QlikSense SAP SAC

Related case studies

More focus areas

Let’s talk about your initiative.

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