If you build a Data Lake or Lakehouse in Azure, or in AWS, and you choose ‘Delta Lake’ or the…
For heterogenous data sources and compute. An abstraction and middleware for data and formats.
Case study example This is a difficult architecture to realise, but there are some firms which are pursuing this. In…
1. AWS Equivalents for Azure Functions and Logic Apps 2. AWS Equivalents for Microsoft’s Power Platform The Microsoft Power Platform…
AWS Glue and Databricks Unity Catalog are both data management tools, but they have some key differences in focus and…
A SaaS platform for CRM and SFA in the wholesale/distribution industry, deployed in AWS, typically involves several key technical components.…
AWS Glue can serve a wide array of data engineering use cases. Loading Data To The Data Warehouse: One of…
AWS Glue was designed based on these principles: Glue contains minor services like the ETL stacks and the Glue Catalog.…
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…