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Data & AI

Good data management is the basis for the business models of tomorrow

The rapid spread of artificial intelligence also creates new challenges for companies when it comes to data. Dirk Budke, Lead Data Engineering & AI at mesoneer, explains the importance of strategic data management and why employers should proactively introduce AI tools.

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Dirk Budke
September 28, 2024
Data & AI

Five challenges on the road to a modern data architecture

Outdated data systems put a strain on companies and contribute to the worsening of the shortage of skilled IT workers. However, the path to a modern data architecture is feasible. In this article, we highlight five key challenges: replacing legacy technologies, moving from isolated data streams to enterprise-wide data use, rethinking batch processing in favor of real-time data streams, managing data products properly, and making the necessary organizational transformation. Learn how to optimize your data strategy and unlock the full potential of your data.

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Dirk Budke & Anatoly Zelenin
September 23, 2024
Data & AI

The age of AI offers many opportunities - also for SMEs

The relevance of digital technologies is increasing, both in a professional and private context. mesoneer AG therefore operates right at the interface between people and technology - and uses its products and software solutions to ensure smooth interaction between companies and customers while maximizing added value. In this interview, Dirk Budke, Lead Data Engineering & AI at mesoneer, explains exactly how this works.

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Dirk Budke
September 2, 2024
Data & AI

Data Streaming - the smart way to artificial intelligence

Despite the hype, artificial intelligence (AI) often fails to achieve the desired benefits in companies. However, the reason is usually not the AI itself, but rather can be found in the depths of dusty databases.

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Dirk Budke
July 1, 2024
Data & AI

Why data streaming is becoming indispensable

From isolated data silos to networked systems: Companies are increasingly relying on data streaming with Kafka as the central data hub. This transformation is particularly relevant for industries such as banking and insurance, which work with complex applications such as ERP and CRM systems. Kafka offers a flexible and efficient solution for decoupling data flows and creating robust, scalable architectures.

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Dirk Budke
June 26, 2024
Data & AI

Highlights of the Kafka Summit London 2024

This year's Kafka Summit took place at ExCeL in London from March 19 to 20, 2024. The more than 3000 enthusiastic participants could look forward to over 100 sessions to discuss the future of data streaming. However, the star of the convention was Apache Flink, which, together with Apache Kafka and Apache Iceberg, merges the operational and analytical estates and redefines the foundation of the data mesh through Universal Data Products. An experience report featuring personal highlights.

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Dirk Budke
March 25, 2024
Data & AI

Why banks migrate from SOA to event-driven architectures

From historically grown company structures to modern solutions: Businesses transition from proprietary ESB architectures towards more flexible and resilient options. This rings true especially in the financial services industry, which needs to manage frequent technical and regulatory changes.

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Albert Finn & Michael Pecka
November 2, 2023
Data & AI

Apache Kafka version 3.3 goes live

Kafka 3.3 is out – and introduces an important change of internal metadata management. The Apache Kafka Project is parting ways with ZooKeeper in order to make room for its successor KRraft, a self managed metadata quorum.

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Taha Akbas
October 7, 2022

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