Bring together all conceivable structured and unstructured data centrally

DATA LAKE

A data lake stores data in structured and unstructured form, for example data from ERP and other IT systems, images, videos, text documents and other office files, data from websites and social media.

 

Unlike a classic data warehouse, a data lake does not pre-structure the data so that data can be integrated more easily. However, the data lake serves as an important pool of data for data scientists to tackle new analysis tasks.

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