Conferences  >  Informatics  >  Database Technology and Design, Search Engines and Data Mining  >  Germany

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.

Events for IT Students and Early Career Researchers,    Information & Knowledge Management, Big Data Computing

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

Events for IT Students and Early Career Researchers,    Information & Knowledge Management, Big Data Computing

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Retrieval-augmented generation (RAG) has proven effective in conditioning the output of large language models (LLMs) on relevant documents and for grounding LLM-generated statements, this way combatting the so-called confabulation or hallucination problem. Basically, RAG combines (1) a retrieval phase, where a search system identifies relevant documents for a user prompt, and (2) a generation phase, where an LLM synthesizes a tailored answer, probably linking to the retrieved sources.

entwickler.de Akademie | Software & Support Media GmbH

Das 3-tägige Intensivcamp richtet sich an fortgeschrittene Kubernetes-Anwender:innen, die ihre Kenntnisse vertiefen und praxisnah erweitern möchten. Im Fokus stehen moderne Cluster-Technologien und fortgeschrittene Bereitstellungsstrategien im Kubernetes-Ökosystem. Die Teilnehmenden arbeiten mit einem 4-Node-Cluster und lernen die Konfiguration dynamischer Storage-Lösungen mit Ceph/rook.io kennen. Für eine effektive Systemüberwachung kommen Prometheus und Loki zum Einsatz. Darüber hinaus werden fortgeschrittene Konzepte wie Pod Priority, Pod Disruption Budgets, Network Policies, PodSecurityPolicies und der sichere Umgang mit Secrets behandelt. Auch Themen rund um die Containerverwaltung und Automatisierung stehen im Fokus: von der Nutzung von Helm Charts und Harbor bis hin zum Schreiben eigener Operatoren und Controller sowie dem Einsatz des Operator-Lifecycle-Managers (OLM). Abgerundet wird das Camp mit einem Einblick in die kontinuierliche Bereitstellung mittels Argo CD und dem Betrieb von Datenbanken in Kubernetes-Umgebungen.

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

Intensivcamp, Prometheus, Loki, PodSecurityPolicies, Datenbanken, Operatoren und Controller

Software Engineering,    Training in Computer Science, Courses