Overview
The Data Lake on AWS with Databricks – Public Sector solution empowers councils, agencies, and public organisations to unify fragmented data from ServiceNow, SaaS platforms, IoT sensors, housing, finance, contact centres, and open data into a single, governed platform. Built on AWS-native services including Amazon S3, AWS Glue, AWS Lambda, AWS Step Functions, AWS Lake Formation, and Amazon Athena, it delivers a production‑ready data lake with automated ingestion, structured data zones, and unified governance for cost‑efficient, scalable analytics.
Databricks enables collaborative data science, advanced analytics, and rapid insight generation while AWS Lake Formation and Unity Catalog ensure secure, audit‑ready access compliant with GDPR/DPA 2018 and public sector records management requirements. Public sector teams gain faster access to trusted datasets, enabling better service delivery, operational efficiency, and data‑driven decision making across departments.
Delivered by Version 1, this implementation follows the AWS Well‑Architected Framework with embedded security controls including AWS KMS encryption, IAM least privilege, and comprehensive audit logging. The result is a secure, compliant, and cost‑effective enterprise data lake that reduces data duplication, accelerates reporting, and supports public sector digital transformation initiatives.
Highlights
- Unifies fragmented council and agency data into a governed AWS‑native data lake on Amazon S3, with automated multi‑source ingestion and structured zones to power secure, scalable public‑sector analytics.
- Uses Databricks for advanced analytics and data science on public‑sector datasets such as housing, finance, contact centre, IoT, and open data, enabling faster, trusted insight and reduced duplication.
- Delivers a Well‑Architected public‑sector data platform on AWS with Lake Formation, Glue Data Catalog, and KMS, supporting GDPR/DPA 2018 compliance, audit and records obligations, and cross‑department MI.
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