Big Data Solutions
Process, store, and analyse data at scale with distributed computing and big data platforms designed for high volume and velocity.
Scale Your Data Processing to Match Your Ambition
When your data volume outgrows traditional databases and BI tools, you need big data architecture. AaiNova designs and builds distributed data processing systems that handle the volume, velocity, and variety of enterprise-scale data workloads.
Whether you are processing sensor streams, log data, clickstreams, or transaction histories at scale, we engineer big data platforms that are fast, reliable, and cost-efficient.
What We Deliver
Big Data Architecture
Designing the right architecture — Lambda, Kappa, or Lakehouse — for your volume, latency, and cost requirements.
Hadoop & Spark Engineering
Building and optimising Apache Hadoop and Spark clusters for batch processing and large-scale transformations.
Cloud Big Data Platforms
Implementing and tuning Databricks, EMR, Dataproc, and Azure HDInsight for cloud-native big data processing.
Streaming Data Processing
Apache Kafka, Flink, and Spark Streaming for real-time processing of high-velocity data streams.
Data Lake Management
Data lake governance, partitioning strategies, and lifecycle management for cost-effective petabyte-scale storage.
Petabyte-Scale Security
Encryption, access controls, and audit logging for sensitive data stored and processed at massive scale.