Data Lakehouse

Bring together all conceivable structured and unstructured data centrally in one Lakehouse

Thanks to the use of a Data Lakehouse, companies can achieve highly effective data availability while optimizing the efficiency of their data infrastructure and reducing costs in the process, since they do not have to manage multiple separate systems for data storage, data integration and data analysis.

A Data Lakehouse derives from the concepts of the data warehouse and the data lake, providing a single platform that integrates all of these functions into one system.

ETL CHAINS

Merging of separately held but related data from relevant data sources via customer-specific and automatable ETL process chains

INTERFACES

Any SQL database can be easily connected via ODBC, JDBC and other interfaces to integrate data from ERP, CRM and other IT systems

SQL & NOSQL

The use of NoSQL databases such as Cassandra, MongoDB, Neo4j or HBase enables the effective and efficient storage of data of any kind from text documents via machine data to graph-oriented social media data

UNSTRUCTURED DATA

Using intelligent parsing and MapReduce algorithms, collecting and analysing unstructured data is no problem

DISTRIBUTED COMPUTING

Tools from the Apache Hadoop ecosystem enable distributed storage and evaluation of data