AI
Machine Learning APIs with the Model Context Protocol (MCP)
In enterprise AI, a major engineering challenge is bridging the gap between existing backend systems and the fast-growing ecosystem of autonomous AI agents. A …
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AWS TechnologyDelta Lake, Delta Format vs Iceberg
If you build a Data Lake or Lakehouse in Azure, or in AWS, and you choose ‘Delta Lake’ or the ‘Delta Format’ for Azure or AWS, you migh…
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AWS TechnologyIceberg Architecture
For heterogenous data sources and compute. An abstraction and middleware for data and formats.
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AWS TechnologyDataOps and ML Ops
The data (pre-)processing part of MLOps focuses on moving data from the source to ML model, without necessarily including how the model executes on the data it…
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AWS TechnologyS3 Tables and AI
Amazon S3 Tables provide S3 storage that’s optimized for analytics workloads, with features designed to continuously improve query performance and reduce stora…
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AWS TechnologyAWS Glue and Databricks
AWS Glue and Databricks Unity Catalog are both data management tools, but they have some key differences in focus and functionality: AWS Glue Focus: ETL (Extra…
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AWS TechnologyComponents of a CRM SaaS Platform in Wholesale/Distribution Industry
A SaaS platform for CRM and SFA in the wholesale/distribution industry, deployed in AWS, typically involves several key technical components. These components …
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AWS TechnologyAWS Glue Use Case examples
AWS Glue can serve a wide array of data engineering use cases. Loading Data To The Data Warehouse: One of Glue’s earliest and most popular use cases is loading…
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AWS, ETL with Glue
AWS Glue was designed based on these principles: Provide customers the ability to solve problems when the system can not satisfy their needs. Examples include …
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