Browsing Tag

open source

164 posts
Tesla Energy Platform - The Power of Data Streaming with Apache Kafka
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  • 7 minute read

Tesla Energy Platform – The Power of Data Streaming with Apache Kafka

Tesla’s Virtual Power Plant (VPP) turns thousands of home batteries, solar panels, and energy storage systems into a coordinated, intelligent energy network. By leveraging Apache Kafka for event streaming and WebSockets for real-time IoT connectivity, Tesla enables instant energy redistribution, dynamic grid balancing, and automated market participation. This event-driven architecture ensures millisecond-level decision-making, allowing homeowners to optimize energy usage and utilities to stabilize power grids. Tesla’s approach highlights how real-time data streaming and intelligent automation are reshaping the future of decentralized, resilient, and sustainable energy systems.
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Top 10 Real Time Innovations in FinServ with Data Streaming using Apache Kafka and Flink
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  • 10 minute read

How Data Streaming with Apache Kafka and Flink Drives the Top 10 Innovations in FinServ

The financial industry is rapidly shifting toward real-time, intelligent, and seamlessly integrated services. From IoT payments and AI-driven banking to embedded finance and RegTech, financial institutions must process vast amounts of data instantly and securely. Data Streaming with Apache Kafka and Apache Flink provides the backbone for real-time payments, fraud detection, personalized financial insights, and compliance automation. This blog post explores the top 10 emerging financial technologies and how data streaming enables them, helping banks, fintechs, and central institutions stay ahead in the future of finance.
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  • 6 minute read

Free Ebook: Data Streaming Use Cases and Industry Success Stories Featuring Apache Kafka and Flink

Real-time data is no longer optional—it’s essential. Businesses across industries use data streaming to power insights, optimize operations, and drive innovation. After 7+ years at Confluent, I’ve seen firsthand how Apache Kafka and Flink transform organizations. That’s why I wrote The Ultimate Data Streaming Guide: Concepts, Use Cases, Industry Stories—a free eBook packed with insights, real-world examples, and best practices. Download your free copy now and start your data streaming journey!
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Data Streaming with Apache Kafka and Flink vs Visual Coding with Low-Code No-Code
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  • 9 minute read

Why Generative AI and Data Streaming Are Replacing Visual Coding with Low-Code / No-Code Platforms

Low-code/no-code tools have revolutionized software development and data engineering by providing visual interfaces that empower non-technical users. However, their limitations in scalability, consistency, and integration pose significant challenges in modern, real-time architectures. Generative AI is emerging as a game-changer, offering unprecedented flexibility and customization, addressing many of the pitfalls of traditional low-code/no-code platforms. Simultaneously, the data ecosystem is evolving with Apache Kafka and Flink, enabling real-time, event-driven architectures that resolve inefficiencies of fragmented, batch-driven systems. This blog explores the evolution of low-code/no-code tools, their challenges, when (not) to use visual coding, and how generative AI and data streaming are reshaping the landscape.
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SaaS vs PaaS Cloud Service for Data Streaming with Apache Kafka and Flink
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  • 6 minute read

Fully Managed (SaaS) vs. Partially Managed (PaaS) Cloud Services for Data Streaming with Kafka and Flink

The cloud revolution has reshaped how businesses deploy and manage data streaming with solutions like Apache Kafka and Flink. Distinctions between SaaS and PaaS models significantly impact scalability, cost, and operational complexity. Bring Your Own Cloud (BYOC) expands the options, giving businesses greater flexibility in cloud deployment. Misconceptions around terms like “serverless” highlight the need for deeper analysis to avoid marketing pitfalls. This blog explores deployment options, enabling informed decisions tailored to your data streaming needs.
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Virgin Australia Journey with Apache Kafka - Innovation in the Airline and Aviation Industry
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  • 5 minute read

Virgin Australia’s Journey with Apache Kafka: Driving Innovation in the Airline Industry

Data streaming with Apache Kafka and Flink is transforming the airline industry, enabling real-time efficiency and exceptional customer experiences. Virgin Australia exemplifies this innovation to modernize its Flight State Engine and overhaul its loyalty program. By embracing event-driven architecture, the airline has improved operational reliability and personalized services, setting a benchmark for aviation digitalization.
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Stateless and Stateful Stream Processing with Kafka Streams and Apache Flink
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  • 8 minute read

Stateless vs. Stateful Stream Processing with Kafka Streams and Apache Flink

The rise of stream processing has changed how we handle and act on data. While traditional databases, data lakes, and warehouses are effective for many batch-based use cases, they fall short in scenarios demanding low latency, scalability, and real-time decision-making. This post explores the key concepts of stateless and stateful stream processing, using Kafka Streams and Apache Flink as examples.
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Data Streaming with Apache Kafka and Flink in Healthcare and Manufacturing at Siemens Healthineers
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  • 6 minute read

How Siemens Healthineers Leverages Data Streaming with Apache Kafka and Flink in Manufacturing and Healthcare

Siemens Healthineers, a global leader in medical technology, delivers solutions that improve patient outcomes and empower healthcare professionals. A significant aspect of their technological prowess lies in their use of data streaming to unlock real-time insights and optimize processes. This blog post explores how Siemens Healthineers uses data streaming with Apache Kafka and Flink, their cloud-focused technology stack, and the use cases that drive tangible business value, such as real-time logistics, robotics, SAP ERP integration, AI/ML, and more.
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The Data Streaming Landcape 2025 with Kafka Flink Confluent Amazon MSK Cloudera Event Hubs and Other Platforms
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  • 21 minute read

The Data Streaming Landscape 2025

Data streaming is a new software category. It has grown from niche adoption to becoming a fundamental part of modern data architecture, leveraging open source technologies like Apache Kafka and Flink. With real-time data processing transforming industries, the ecosystem of tools, platforms, and cloud services has evolved significantly. This blog post explores the data streaming landscape of 2025, analyzing key players, trends, and market dynamics shaping this space.
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Data Streaming Trends for 2025 - Leading with Apache Kafka and Flink
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  • 18 minute read

Top Trends for Data Streaming with Apache Kafka and Flink in 2025

Apache Kafka and Apache Flink are leading open-source frameworks for data streaming that serve as the foundation for cloud services, enabling organizations to unlock the potential of real-time data. Over recent years, trends have shifted from batch-based data processing to real-time analytics, scalable cloud-native architectures, and improved data governance powered by these technologies. Looking ahead to 2025, the data streaming ecosystem is set to undergo even greater changes. Here are the top trends shaping the future of data streaming for businesses.
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