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Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In today’s digital landscape, complexity grows with increasing data volume and degree of interconnection. A suitable data abstraction is crucial for comprehending and navigating this dense network of connections. Starting from Euler’s pioneering work on The Bridges of Konigsberg in 1735, graphs have steadily evolved as a robust and adaptable conceptual framework. Graphs are universal representations of concepts, where nodes are markers for distinct entities and edges delineate their interrelations, further enriched with detailed annotations when necessary. Graphs are successful in various domains, like bioinformatics, e-commerce, logistics and transportation networks, urban planning, and even pandemic analysis or vaccine development (e.g., during COVID-19).

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The increasing amount of data being collected, stored, and analyzed induces a need for efficient, scalable, and robust methods to handle this data. Representation learning, i.e. the practice of leveraging neural networks to obtain generic representations of data objects, has been shown effective for various applications over data modalities such as images and text. More recently, representation learning has shown initial impressive capabilities on structured data (e.g. relational tables in databases), for a limited set of tasks in data management and analysis, such as data cleaning, insight retrieval, and data analytics. Most applications traditionally relied on heuristics and statistics, which are limited in robustness, scale, and accuracy. The ability to learn abstract representations across tables unlocked new opportunities, such as pretrained models for data augmentation and machine learning, that address these limitations. This emerging research area, which we refer to as Table Representation Learning (TRL), receives increasing interest from industry as well as academia , in particular in the communities of data management, machine learning, and natural language processing. This growing interest is a result of the high potential impact of TRL in industry given the abundance of tables in the organizational data landscape, the large range of high-value applications relying on tables, and the early state of TRL research so far.

entwickler.de Akademie | Software & Support Media GmbH

In unserem 2-tägigen IT Security Camp mit Christian Schneider erhalten Sie nicht nur tiefgehendes Wissen über Angriffstechniken & Sicherheitsmaßnahmen, sondern auch die praktischen Fähigkeiten, um IT-Risiken zu identifizieren und geeignete Gegenmaßnahmen zu implementieren – exakt das, was NIS-2 fordert.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

Risikoanalysen, Schwachstellenmanagement, Sicherheitsmaßnahmen, Softwareentwicklung, IT-Infrastruktur, IT Sicherheit, IT-Security

Softwareentwicklung,    Informationssicherheit und Datenschutz

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This summer school is an intensive course on software techniques for data management and database management. Topics include database command translation and query optimization, query execution and indexing, row- and column-oriented storage structures and algorithms, optimistic and pessimistic concurrency control, logging and recovery, replication and high availability, scalability and cloud computing, and more. The goal of lectures and presentations is to understand classic techniques and to link them to industrial reality and to research opportunities. The target audience are recent MS graduates who have already taken 2-3 courses covering data management software and who are embarking on a career in industrial development or in academic research in related topics.

Veranstaltungen für Studenten der Informatik,    Datenbanktechlologie, Suchmaschinen und Data-Mining

entwickler.de Akademie | Software & Support Media GmbH

In unserem 2-tägigen IT Security Camp mit Christian Schneider erhalten Sie nicht nur tiefgehendes Wissen über Angriffstechniken & Sicherheitsmaßnahmen, sondern auch die praktischen Fähigkeiten, um IT-Risiken zu identifizieren und geeignete Gegenmaßnahmen zu implementieren – exakt das, was NIS-2 fordert.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

Risikoanalysen, Schwachstellenmanagement, Angriffstechniken, Sicherheitsmaßnahmen, Softwareentwicklung, IT-Infrastruktur, Security Schwachstellen, Web-Security-Schwachstellen, Angriffsszenarien, Trainingsanwendung, DEVSECOPS, CI/CD-PIPELINES

Softwareentwicklung,    Informationssicherheit und Datenschutz

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The Autumn School for Information Retrieval and Information Foraging (ASIRF) focuses on recent developments in Information Retrieval and Information-Seeking behavior and their applications. Information Retrieval deals with searching in huge amounts of unstructured data. In many professional fields of work and everyday life, access to text data via search engines is one of the most important forms of access to knowledge. Information Foraging aims to model the entire process from the awareness of an information problem through selecting appropriate information sources to the actual search.

Students and lecturers will live together for a week at Schloss Dagstuhl, which guarantees the school's traditionally highly communicative and interactive atmosphere. The intended audience of ASIRF are doctoral students and young researchers working in Information Retrieval, Information Foraging, or using concepts or methods from these fields in their research

Veranstaltungen für Studenten der Informatik,    Datenbanktechlologie, Suchmaschinen und Data-Mining

entwickler.de Akademie | Software & Support Media GmbH

Die Teilnehmenden lernen hier Wege zur Realisierung dynamischer Cloud-Native-Architekturen, Container Application Design, Logging/Monitoring/Alerting, Container Native Storage und Möglichkeiten zur UI-Integration. Ebenso werden typische Konzepte aktueller Container-Manager aufgezeigt und vermittelt, wie sich damit für größere Webanwendungen gängige Qualitätsanforderungen realisieren lassen. Zusätzlich werden bekannte Cloud-Anbieter klassifiziert, Möglichkeiten zur Automatisierung aufgezeigt, Ansätze der Softwareentwicklung und des Application Lifecycle besprochen.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

Infrastruktur, Container und Cloud Native, iSAQB, Schulung, Trainer, Fortbildung, Weiterbildung, Software-Architecture, Camp, Advanced, Credits, loud-Native-Architekturen, Container Application Design, Logging/Monitoring/Alerting, Container Native Storage, UI-Integration

Edge/Cloud-Computing,    Eingebettete Systeme, RFIDs

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

More and more, we find that the provenance of data is a key missing ingredient in the information set made available to us. Provenance - the origination and intention of data as collected - provides significant challenges for modern networks. While standards exist for describing data and its analysis - and even for parts of the provenance chain - there is no standard mechanism for tying together all relevant information across the series of steps which fully describe the origination of data. This workshop explores how the many contextualising factors needed to support responsible and accurate data reuse can be described, allowing for the needed chaining of provenance steps.