Browsing Tag

flink

69 posts
10 FinTech Predictions That Depend On Real Time Data Streaming
Read More
  • 583 views
  • 8 minute read

10 FinTech Predictions That Depend on Real Time Data Streaming

Financial services companies are moving from batch processing to real time data flow. A data streaming platform enables financial institutions to connect systems, process events instantly, and power AI, fraud prevention, and customer engagement. This post explores ten FinTech trends and shows how real time data unlocks business value across the industry.
Read More
0
0
0
Data Streaming Trends for 2026 with Apache Kafka Flink Diskless Cloud Agentic AI
Read More
  • 1.4K views
  • 9 minute read

Top Trends for Data Streaming with Apache Kafka and Flink in 2026

Each year brings new momentum to the data streaming space. In 2026, six key trends stand out. Platforms and vendors are consolidating. Diskless Kafka and Apache Iceberg are reshaping storage. Real-time analytics is moving into the stream. Enterprises demand zero data loss and regional compliance. Streaming is now powering operational AI with real-time context. Data streaming has evolved. It is now strategic infrastructure at the heart of modern enterprise systems.
Read More
0
0
0
Social Commerce in Retail with Data Streaming using Apache Kafka Flink and Agentic AI
Read More
  • 1.3K views
  • 9 minute read

Data Streaming in Retail: Social Commerce from Influencers to Inventory

Social commerce is reshaping retail by merging entertainment, influencer marketing, and instant purchasing into one real-time experience. Platforms like TikTok and Instagram have become active digital storefronts where discovery and transactions happen at once. This article explains how data streaming with Apache Kafka and Flink enables retailers to power social commerce through continuous data flow, real-time inventory updates, and personalized engagement. It shows how streaming unifies marketing, operations, and AI-driven decision-making while helping retailers compete with new AI platforms such as OpenAI that are redefining digital shopping.
Read More
0
0
0
Stablecoins and Data Streaming with Kafka and Flink for Digital Money and Currency USDC USDT Blockchain
Read More
  • 4.4K views
  • 10 minute read

How Stablecoins Use Blockchain and Data Streaming to Power Digital Money

Stablecoins are reshaping digital money by linking traditional finance with blockchain technology. Built for stability and speed, they enable real time payments, settlements, and programmable financial services. To operate reliably at scale, stablecoin systems require continuous data movement and analysis across ledgers, compliance tools, and banking platforms. A Data Streaming Platform using technologies like Apache Kafka and Apache Flink can provide this foundation by ensuring transactions, reserves, and risk signals are processed instantly and consistently. Together, blockchain, data streaming, and AI pave the way for a new financial infrastructure that runs on live, contextual data.
Read More
0
0
0
Real Time Point of Sale POS in Retail and eCommerce with Data Streaming using Kafka and Flink at SumUp Square Shopify
Read More
  • 3.8K views
  • 6 minute read

Square, SumUp, Shopify: Real-Time Point-of-Sale (POS) in the Age of Data Streaming

Point-of-Sale systems are evolving into real-time, connected platforms that go far beyond payments. Mobile solutions from Square, SumUp, and Shopify give even the smallest merchants access to integrated sales channels, inventory management, and customer insights. Powered by Apache Kafka and Apache Flink, data streaming is transforming retail with instant decisions, automated actions, and the foundation for Agentic AI in the future of POS.
Read More
0
0
0
How Data Streaming with Apache Kafka and Flink Powers AI and Autonomous Networks in the Telecom Industry
Read More
  • 3.4K views
  • 8 minute read

How Data Streaming Powers AI and Autonomous Networks in Telecom – Insights from TM Forum Innovate Americas

AI and autonomous networks took center stage at TM Forum Innovate Americas 2025 in Dallas. Leaders from AT&T, Verizon, and other telcos showed how large-scale AI is transforming customer experience, security, and network operations, while the vision of self-optimizing networks moves closer to reality. At the heart of these advances lies data streaming: real-time, governed data flows that connect OSS/BSS, feed AI with fresh context, and enable automation at scale. This article captures the key insights from the event and explains why data streaming is becoming the central nervous system of modern telecoms.
Read More
0
0
0
Telecom OSS Modernization with Data Streaming using Apache Kafka and Flink for Cloud-Native BSS and OTT Integration
Read More
  • 3.3K views
  • 7 minute read

Telecom OSS Modernization with Data Streaming: From Legacy Burden to Cloud-Native Agility

OSS is critical for service delivery in telecom, yet legacy platforms have become rigid and costly. They slow innovation just as 5G, cloud native networks and OTT partnerships demand agility. This article explores how a data streaming platform with Apache Kafka and Flink helps telcos modernize OSS step by step, cut costs, accelerate time to market and turn OSS into the real time backbone for AI and event driven operations.
Read More
0
0
0
Connected Car Vehicle API and Data Streaming with Apache Kafka and Flink in the Automotive Industry
Read More
  • 3.3K views
  • 7 minute read

Streaming the Automotive Future: Real-Time Infrastructure for Vehicle Data

Connected vehicles are transforming the automotive industry into a software-driven, data-centric ecosystem. While APIs provide access to critical vehicle data, they fall short when it comes to real-time intelligence and scalability. This post explores how data streaming with Apache Kafka and Apache Flink turns raw API responses into reusable, governed data products that support real-time operations, analytics, and innovation. Learn how industry leaders are combining APIs and event streaming to build modern automotive platforms -where real-time data becomes a strategic asset.
Read More
0
0
0
Global Payment Processor Built with Data Streaming using Apache Kafka at Stripe Paypal Payoneer Worldline
Read More
  • 11.1K views
  • 10 minute read

How Global Payment Processors like Stripe and PayPal Use Data Streaming to Scale

This blog post explores how leading payment processors like Stripe, PayPal, Payoneer, and Worldline are leveraging data streaming with Apache Kafka to power real-time, scalable, and secure financial systems. As the industry shifts from batch processing to event-driven architecture, data streaming has become essential for handling transactions, fraud detection, compliance, and embedded services. The post highlights why Kafka is at the core of modern payment infrastructure – and how it enables innovation, resilience, and operational agility in the evolving fintech landscape.
Read More
0
0
0
Data Streaming and AI in the Automotive Industry at OEMs like Porsche Tesla BMW
Read More
  • 5.7K views
  • 13 minute read

Driving the Future: How Real-Time Data Streaming Is Powering Automotive Innovation

The automotive industry is rapidly shifting toward a software-defined, data-driven future. Real-time technologies like Apache Kafka and Apache Flink are now critical to powering connected vehicles, smart factories, autonomous platforms, and personalized mobility services. This blog explores how leading OEMs and suppliers use data streaming to drive digital transformation – from edge processing and AI to predictive maintenance and customer experience. As the industry moves toward intelligent, adaptive systems, event-driven architecture becomes a strategic foundation.
Read More
0
0
0