The Big Data landscape has evolved dramatically — from the early days of Hadoop clusters to today's cloud-native data lakehouses, real-time streaming pipelines, and AI-ready architectures built on tools like Apache Kafka, Flink, Spark, ClickHouse, and OpenSearch. Organizations are processing more data than ever, yet the real challenge has shifted from storage and ingestion to making data reliably fast, queryable, and actionable at scale. Whether you're modernizing a legacy stack or designing a new platform from scratch, the decisions you make early have long-lasting consequences on cost, performance, and maintainability. If you're navigating these choices, our solutions and consulting services are here to help you build and operate production-grade Big Data systems with confidence.

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