Data
Data Lake Architecture(s) overview
Data Lake Architecture Data lake architecture was introduced in 2010 in response to the challenges of data warehousing architecture in satisfying the new uses …
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AWS TechnologyAWS, Snowpipe, Snowflake
Moving data from S3 to Snowflake to satisfy use cases around analysis, corporate reporting, or cross-domain information collaboration is best achieved through …
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Cloud Design GoalsAWS S3 and Snowflake – use case summary
Both platforms are valid and will likely work together in larger enterprises. The tricky part is always access, entitlements and RBAC or TBAC. Across the 2 pla…
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DataAWS S3 vs Snowflake (use cases)
AWS S3-based Data Lakes and Snowflake are both powerful solutions for data storage and analysis, but they serve different use cases and operational needs. Belo…
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DataData Quality and Governance in AWS
If you are building a Data platform the first consideration should be around data quality, cleaning, traceability, ownership and reporting on quality. If the d…
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AWS TechnologyData Glossary, Dictionary, Catalogue
The Data Glossary focuses on business terminology and definitions, bridging the gap between business and IT. A data glossary is a document that defines and des…
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Cloud Design GoalsTeradata to AWS and Snowflake
Snowflake and S3 Data Lake(s) provide a cloud native, scalable, cheaper, easier to use options when consolidating data within a corporation. Teradata is largel…
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DataData Architecture, an overview related to AI implementations
There are components to a Data Architecture, namely a Data Model, a Reference Architecture, and a Star Graph. A Data Architecture is the language and represent…
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DataData Strategy Framework, leading to a POC, MVP and implementation.
Data Strategy framework to implementation.
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