Database

Topic managers:
Borys Neselowski, Christian Pfundtner 

Data is very important and is often referred to as gold. The amount of data is constantly increasing. Based on the information collected, analyses are carried out and reports and decision templates are created. These then serve as the basis for decisions and business adjustments and thus influence the success of companies. Data management covers all aspects, starting with concepts and architectures for integrating and aggregating a wide variety of data sources, through processing and storage, to (real-time) analysis and use for reporting and management decisions. The topics of machine learning algorithms and AI for processing and evaluating data should also not be forgotten here. 
#DataWarehouse #DataLake #Lakehouse #DataFusion #Iceberg #PaquetFiles #Partitioning #HighAvailability #Security #Performance #ETL #Redis #DataBricks #Snowflake #TrueCache #Sharding #Machine Learning #KI #Greenplum

Topic managers:
Matthias Jung, Andreas Buckenhofer

We see “Data Governance & Sovereignty” as a fundamental basis for the management and protection of data in an increasingly digitalized and globally networked world. In the context of databases, data governance primarily means the consistent management of data quality, security and access rights. DBAs play a key role here, as they are responsible for implementing and monitoring policies and processes that ensure the proper use and protection of data. We understand data sovereignty to mean that data is under the legal and political sovereignty of the country or region in which it is stored or processed. How and whether a user is tied to a product, a group or an institution plays a central role here. The challenge is how easy or difficult it is to use alternatives without the change being associated with high costs or restrictions. This not only has technical implications, but also profound implications for compliance and data protection, especially with regard to international regulations such as the GDPR.