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Cloud Design Goals
Data products – a summary

Data products are the end result of file or data movements to the cloud; ETL; processing; de-duplication; curation and storage in a consumable layer. There is no hard definition of what a data product might

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Cloud Design Goals
Understanding Data Lakes and Data Warehouses

In simple terms we can identify the differences between Data Lakes and Data Warehouses. Data Lake: A data lake is a centralized repository, usually a platform,  that can store massive amounts of raw, structured, semi-structured,

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Application Transformation
Digital and Data Transformation (Why)

Digital Transformation Digital transformation not a magic solution nor a buffet of word salads.  DT is roughly defined as the integration of digital technologies into all areas of a business, fundamentally changing how it operates,

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Data
Iceberg and Data Format open standards

Iceberg Cometh Open table formats, such as Apache Iceberg, enable scale-out data warehousing directly on a data lake. This architecture has become known as a data lakehouse. Since the creation of enterprise data warehouses, such

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AWS Technology
Data Lake Basics and AWS

A data lake is a centralized repository that allows  a firm to store structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run

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Data
Data Products, overview, summary

Traditional Data Product Management Federated data management and data product builds and sharing has little to do with traditional data product management. Traditional data management primarily revolves around the collection, storage, and processing of data

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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 of data: access to data by data scientists in the machine learning model

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