Overview

From data movement and storage to data lakes, big data analytics, log analytics, streaming analytics, and machine learning, we design and build data solutions on AWS that deliver the best price-performance, scalability, and lowest cost. We help you ingest, store, process, and analyse data so you can make faster, data-driven decisions.

What we do

We design and implement data pipelines and platforms that scale with your business. Whether you need a central data lake, real-time streaming, or ML-ready datasets, we use purpose-built AWS services to keep architecture simple and costs predictable.

Data lakes and analytics

Build and operate data lakes with Amazon S3, AWS Glue, and Athena. We set up cataloguing, partitioning, and access patterns so your teams can query and analyse data without managing infrastructure.

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Streaming and ML

Real-time ingestion and processing with Kinesis and managed Kafka; batch and ML workloads with EMR and SageMaker. We help you choose the right mix of services for latency, throughput, and cost.

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