Migrating ‘ Big Data’ pipelines and data processes to AWS will allow organizations to: Challenges in Migrating Big Data Pipelines…
Amazon S3 Tables provide S3 storage that’s optimized for analytics workloads, with features designed to continuously improve query performance and…
Example project deployment at a Financial Institution. Creation of a Data Lake with a streaming/real time data ingestion requirement. A.…
On real world projects and deployments, you hear the lament that a datawarehouse or data engine ‘does not work’. Query…
Amazon S3 Iceberg Tables introduced fully managed Apache Iceberg table support to S3, optimizing the storage and querying of tabular…
There are a wide variety of databases. With cloud and hybrid architectures often see the following: Relational DB A structured format with rows…
A useful architecture to move data from on-premises to AWS is to consider using AWS S3 outputs and move data…
AWS Database Migration Service or DMS is a mature process to move on premises data to the AWS cloud, including…
The problems with Data Pipelines and the hydration of a Data Lake include: Data teams often end with technical debt surrounding…
In essence Data Operations is based on DevSecOps or DevOps and applies these same ideas to the life cycle of…