ESG and Sustainability powered by Data Streaming with Apache Kafka and Flink
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Green Data, Clean Insights: How Kafka and Flink Power ESG Transformations

This blog post explores the synergy between Environmental, Social, and Governance (ESG) principles and Kafka and Flink’s real-time data processing capabilities, unveiling a powerful alliance that transforms intentions into impactful change. Beyond just buzzwords, real-world deployments architectures across industries show the value of data streaming for better ESG ratings.
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SAP Datasphere and Apache Kafka as Data Fabric for ERP Integration
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SAP Datasphere and Apache Kafka as Data Fabric for S/4HANA ERP Integration

SAP is the leading ERP solution across industries around the world. Data integration with other data platforms, applications, databases, and APIs is one of the hardest challenges in the IT and software landscape. This blog post explores how SAP Datasphere in conjunction with the data streaming platform Apache Kafka enables a reliable, scalable and open data fabric for connecting SAP business objects of ECC and S/4HANA ERP with other real-time, batch, or request-response interfaces.
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Data Streaming Landscape 2024 around Kafka Flink and Cloud
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The Data Streaming Landscape 2024

The research company Forrester defines data streaming platforms as a new software category in a new Forrester Wave. Apache Kafka is the de facto standard used by over 100,000 organizations. Plenty of vendors offer Kafka platforms and cloud services. Many complementary open source stream processing frameworks like Apache Flink and related cloud offerings emerged. And competitive technologies like Pulsar, Redpanda, or WarpStream try to get market share leveraging the Kafka protocol. This blog post explores the data streaming landscape of 2024 to summarize existing solutions and market trends. The end of the article gives an outlook to potential new entrants in 2025.
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Tiered Storage for Apache Kafka - Use Cases Architecture Benefits.png
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Why Tiered Storage for Apache Kafka is a BIG THING…

Apache Kafka added Tiered Storage to separate compute and storage. The capability enables more scalable, reliable and cost-efficient enterprise architectures. This blog post explores the architecture, use cases, benefits, and a case study for storing Petabytes of data in the Kafka commit log. The end discusses why Tiered Storage does NOT replace other databases and how Apache Iceberg might change future Kafka architectures even more.
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Top 5 Trends for Data Streaming with Kafka and Flink in 2024

Do you wonder about my predicted TOP 5 data streaming trends with Apache Kafka and Flink in 2024 to set data in motion? Discover new technology trends and best practices for event-driven architectures, including data sharing, data contracts, serverless stream processing, multi-cloud architectures, and GenAI.
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Dish Wireless Cloud-native 5G Telco Network powered by Data Streaming with Apache Kafka
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How Apache Kafka helps Dish Wireless building cloud-native 5G Telco Infrastructure

5G telco infrastructure provides the basic foundations of data movement and increasingly unlocks new capabilities for low latency and critical SLAs. Real-time data processing with data streaming using Apache Kafka enables innovation across industries. This blog post explores the success story of Dish Wireless and its cloud-native standalone 5G infrastructure leveraging data streaming.
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How Michelin improves Aftermarket Sales and Customer Service with Data Streaming

Aftermarket sales and customer service require the right information at the right time to make context-specific decisions. This post explains the modernization of supply chain business process choreography based on the real-life use case of Michelin, a tire manufacturer in France. Data Streaming with Apache Kafka enables true decoupling, domain-driven design, and data consistency across real-time and batch systems. Common business goals drove them: Increase customer retention, increase revenue, reduce costs, and improve time to market for innovation.
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The State of Data Streaming for Insurance in 2023
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The State of Data Streaming for Insurance in 2023

This blog post explores the state of data streaming for the insurance industry in 2023. The evolution of claim processing, customer service, telematics, and new business models requires real-time end-to-end visibility, reliable and intuitive B2B and B2C communication, and integration with pioneering technologies like AI/machine learning for image recognition. Learn from use cases of Allianz, Generali, Policygenius, and more. A complete slide deck and on-demand video recording are included.
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Real-Time Advertising Platform with Apache Kafka and Flink
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How to Build a Real-Time Advertising Platform with Apache Kafka and Flink

An advertising platform requires real-time capabilities to provide dynamic targeting, ad personalization, ad fraud detection, budget allocation, and event-driven marketing. This blog post explores how data streaming with Apache Kafka and Apache Flink enables context-specific advertising at any scale. Real-world success stories from Pinterest, Uber, Unity, buzzwil, and TV-Insight show different solutions and architectures for serving ads in marketing campaigns, embedded into mobile apps, and as SaaS software products.
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Modernization of OT IT and SCADA with Data Streaming
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Modernizing SCADA Systems and OT/IT Integration with Data Streaming

SCADA control systems are a vital component of IT/OT modernization. The old IT/OT infrastructure and SCADA system are monolithic, proprietary, not scalable, and miss open APIs based on standard interfaces. This post explains the modernization of such a system based on the real-life use case of 50Hertz, a transmission system operator for electricity in Germany. A lightboard video is included.
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