Sharing an interesting POC that I previously worked on. For this client, siloed data was a big issue on the way to fully utilize the benefit of AI, BI and ML. To
Azure SQL Data Warehouse is a fully-managed cloud-based data warehousing service provided by Microsoft through its Azure cloud platform. It is designed to handle large amounts of data and provide fast query
MoreAzure Data Lake is a powerful data storage and analytics service provided by Microsoft Azure. It allows organizations to store, process, and analyze vast amounts of data in a highly scalable and
MoreFrom my past experience, I found that Implementing an enterprise data lake can be a challenging task due to a variety of reasons. And I’d love to share those with my peers.
MoreIn this post, we will play around with the idea of implementing a modern data lake with good old OSISoft/AVEVA PI environment on the backend. After some poking around, I was able
MoreFrom my past experience, I found that Implementing an enterprise data lake can be a challenging task due to a variety of reasons. And I’d love to share those with my peers.
MoreIntegrating streaming OT data into enterprise-wide BI reporting system brings tremendous value. But there are many unique challenges to implement this e.g., security considerations, on-prem hosting requirement, data resolution etc. Hence the
MoreFew months back, I posted about the edge offerings from different vendors. I also mentioned at that time that I was very excited about the prospect of edge. We all know that
MoreFrom my past working experience, I found that siloed data, stakeholders, workgroups and customers are the main barrier towards implementing a proper IIoT solution. I think a combinational change of cultural philosophies,
MoreWhy is IT/OT convergence so disruptive? When a company grows, they can choose to expand vertically or horizontally or on both front. But this traditional process involves large CapEx. Instead, the enterprises
MoreCouple years ago, I developed an OLEDB based streaming data pipeline for a client to integrate OT data from PI system into the cloud. This enabled that client to leverage cloud computing
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