Trilogix Cloud

Author: admin@crmtrilogix.com

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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AWS Technology
AWS, 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 Snowpipe. Snowpipe is an event-based data ingestion tool that comes together with Snowflake.

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Cloud Design Goals
AWS 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 platforms and related accounts, domains and networks, this

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Data
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. Below are the distinct use cases for each, helping to identify

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Data
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 data is of poor value, the business will not use it,

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AWS Technology
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 describes the data used by an organization. It provides a common

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