AWS Big Data Blog
Author: Ramakant Joshi
Ramakant Joshi is an AWS Solutions Architect, specializing in the analytics and serverless domain. He has a background in software development and hybrid architectures, and is passionate about helping customers modernize their cloud architecture.
Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job
Adoption of data lakes and the data mesh framework emerges as a powerful approach. By decentralizing data ownership and distribution, enterprises can break down silos and enable seamless data sharing. In this post, we discuss how to choose the right tool for building an enterprise data platform and enabling data sharing, collaboration and access within your organization and with third-party providers. We address three business use cases using AWS Glue, AWS Data Exchange, AWS Clean Rooms, and Amazon DataZone through three different use cases.
Accelerate data integration with Salesforce and AWS using AWS Glue
To meet the demands of diverse data integration use cases, AWS Glue now supports SaaS connectivity for Salesforce. This enables users to quickly preview and transfer their customer relationship management (CRM) data, fetch the schema dynamically on request, and query the data. This post explores the new Salesforce connector for AWS Glue and demonstrates how to build a modern extract, transform, and load (ETL) pipeline with AWS Glue ETL scripts.
Cross-account integration between SaaS platforms using Amazon AppFlow
Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements is complex. Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations. On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it […]