The client is a leading IoT platform developer based out of Asia offering full-scale digital services to a global clientele. Their major focus is implementing digitalization for large scale manufacturing companies to enhance efficiencies.
As a part of digital monitoring services, the client collected data from all the devices installed at their customer’s site on IoT platform. It enabled them to have basic monitoring of assets from multiple geographical locations.
However, the IoT platform had limitations when it comes to deriving intelligent insights through various datasets. It poses challenges like:
To overcome these challenges, Hitech’s data sciences team proposed creating a data warehouse to leverage advanced analytics and enable custom reporting.
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A project team was assembled, clear milestones and roadmap were planned. Once in place, the team divided the entire project into a two-part solution, to create a data warehouse and build pipelines for streaming real-time data. The second part dealt with migration of historical data from the platform to the newly created data warehouse.
Part #1: Process for daily data ingestion [real-time data]:
Part #2: Fetching historical data:
Once the data warehouse was loaded, cloud credentials were shared with the client with secure login and role-based custom access. The client was empowered with opportunities for advanced analytics and get custom reports.
The project team successfully delivered a cloud-based data warehouse with 100% uptime and 24×7 availability. In the beginning, the primary features of this AWS Redshift data warehouse included:
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