Azure
Azure Data Lake Concept summarised.
Azure Data Lake Concepts summarised. Why Delta Lake in Azure is a best practices implementation of a Data Lakehouse concept. ==END
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AzureFunction App workflow and AI workloads
Function App Role in an AI Data Flow A Function App is typically used for serverless, small-scale, and responsive tasks, ensuring the overall pipeline remains …
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Azure Delta Lake
Typical example of a Delta Lake and ‘Lakehouse’ architecture. The Delta Lake format as the primary storage layer for the Bronze and Gold zones is c…
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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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AILow Code Automation Platforms: Appian, Pega, Outsystems
Appian Appian is a low-code platform built on the philosophy of “Total Experience.” Its primary strength lies in end-to-end process automation and …
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DataData Lakehouse and the ‘Medallion’ Architecture
In order to manage data – migrations and operational updates – it has been necessary to take raw data and parse or process it, into both OLTP (on l…
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DataAgentic AI and Data Management
Generative AI has given rise to Agentic AI. While ChatGPT is primarily a chatbot that can generate text responses, AI agents can execute complex tasks autonomo…
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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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