Streaming Data Integration | Real-Time Kafka Event Streaming & CDC

The future of enterprise data is real-time. Businesses that rely on batch-driven architectures face growing gaps between when data is generated and when it can be acted upon — gaps that translate directly into slower decisions, poor customer experiences, and missed opportunities. LSD Open's Streaming Data Integration (SDI) service bridges this gap by delivering Kafka-native data movement, in-stream transformation, and intelligent data delivery across your existing and greenfield AWS data ecosystems. Built on the proven backbone of Apache Kafka, Confluent Platform, Apache Flink, and ksqlDB, SDI enables continuous, scalable, production-grade streaming pipelines that turn raw data in motion into a strategic asset — powering real-time decision-making, operational responsiveness, and AI-ready data infrastructure on AWS. **What SDI Delivers **

LSD Open's Streaming Data Integration service covers the full spectrum of real-time data engineering capabilities. Universal Data Ingestion via Kafka Connect enables continuous, enterprise-wide data flow from relational databases, SaaS platforms, message queues, and legacy systems. Change Data Capture (CDC) streams real-time database mutations to downstream AWS targets — eliminating batch dependencies entirely. Apache Flink and ksqlDB power stateful stream processing: aggregations, windowing, enrichment, filtering, and complex event processing at scale with sub-second latency. Confluent Schema Registry enforces schema governance and compatibility across all streaming consumers. Data is delivered in real-time to any target environment — Amazon S3 data lakes, Amazon Redshift warehouses, Amazon OpenSearch, Amazon DynamoDB, and operational datastores. End-to-end observability, fine-grained access control, encryption, and enterprise identity integration ensure streaming pipelines are secure, compliant, and production-ready from day one. **Structured Delivery, Built for AWS **

SDI engagements are delivered through a structured, phased model — Discovery, Design, Integration & Processing, Enablement, and Handover — with an Agile sprint-based execution approach that maximises transparency and accelerates time-to-value. LSD Open data engineers work in an embedded, collaborative manner alongside your teams, ensuring continuous alignment with technical and business objectives. Each engagement includes a dedicated Service Delivery & Success Manager, shared project tracking, and full knowledge transfer at conclusion. This service relates to AWS Marketplace Professional Services and integrates with AWS services including Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis, AWS Glue, Amazon S3, Amazon Redshift, Amazon OpenSearch Service, Amazon DynamoDB, and Amazon Bedrock — enabling customers to build a unified, governed, real-time event-driven data platform as the foundation for advanced analytics, GenAI, and intelligent automation on AWS.