
AWS Data Lake, Streaming Architecture summary
Example project deployment at a Financial Institution. Creation of a Data Lake with a streaming/real time data ingestion requirement. AWS Data Architecture Des…
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Example project deployment at a Financial Institution. Creation of a Data Lake with a streaming/real time data ingestion requirement. AWS Data Architecture Des…
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Amazon Redshift Redshift is a fully managed data warehousing service designed for online analytical processing (OLAP) workloads. It is optimized for high-perfo…
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Amazon S3 Iceberg Tables introduced fully managed Apache Iceberg table support to S3, optimizing the storage and querying of tabular data for analytics. By cre…
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There are a wide variety of databases. With cloud and hybrid architectures often see the following: Relational DB A structured format with rows and columns, re…
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A useful architecture to move data from on-premises to AWS is to consider using AWS S3 outputs and move data directly over a Direct Connect to S3 in AWS. This …
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AWS Database Migration Service or DMS is a mature process to move on premises data to the AWS cloud, including to a S3 Data Lake. It is not recommended that fi…
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The problems with Data Pipelines and the hydration of a Data Lake include: Data teams often end with technical debt surrounding CI/CD, IaS, observability, and …
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Data Operations ‘DataOps’ has been inspired by the Agile-premised ‘Development Operations’ model. The ‘DevOps’ model which usually includes security (DevSecOps…
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The icebergth is hereth. Apache Iceberg is an open-source table format for large-scale data systems, designed to provide efficient and reliable management of s…
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