AWS 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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Data 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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Data 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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Teradata 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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Data 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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Data Strategy Framework, leading to a POC, MVP and implementation.
Data Strategy framework to implementation.
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AWS Big Data Strategy Overview
Big Data Strategy in AWS Define Business Objectives: Objective: Align Big Data initiatives with business goals. Approach: Understand specific business objectiv…
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Snowflake, Overview, Use Cases
Snowflake is a columnar data warehouse and data integration platform SaaS hosted on AWS, GCP, or Azure. Database Type When data is loaded into Snowflake, Snowf…
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Curating raw data in S3 to production ready data
Curating raw data stored in one Amazon S3 bucket into curated data in another S3 bucket typically involves a series of data processing and transformation steps…
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