Category: Customer Solutions

In this post, we share the journey of a multi-national financial credit reporting company, including the hurdles they faced, and why they went with Amazon OpenSearch Ingestion pipelines to make their log management smoother.

In this post, we highlight key lessons learned while helping a global financial services provider migrate their Apache Hadoop clusters to AWS and best practices that helped reduce their Amazon EMR, Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Simple Storage Service (Amazon S3) costs by over 30% per month.

Capital Fund Management (CFM) is an alternative investment management company based in Paris with staff in New York City and London. CFM takes a scientific approach to finance, using quantitative and systematic techniques to develop the best investment strategies. In this post, we share how we built a well-governed and scalable data engineering platform using Amazon EMR for financial features generation.

Salesforce and Amazon have collaborated to help customers unlock value from unified data and accelerate time to insights with bidirectional Zero Copy data sharing between Salesforce Data Cloud and Amazon Redshift. In the Part 1 of this series, we discussed how to configure data sharing between Salesforce Data Cloud and customers’ AWS accounts in the same AWS Region. In this post, we discuss the architecture and implementation details of cross-Region data sharing between Salesforce Data Cloud and customers’ AWS accounts.

While the potential of generative artificial intelligence (AI) is increasingly under evaluation, organizations are at different stages in defining their generative AI vision. In many organizations, the focus is on large language models (LLMs), and foundation models (FMs) more broadly. This is just the tip of the iceberg, because what enables you to obtain differential […]

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. This platform is an advanced information retrieval system engineered to assist healthcare professionals and researchers in navigating vast repositories of medical documents, medical literature, research articles, clinical guidelines, protocol documents, […]

This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS.

In a previous post, we showed how Zero Copy data federation empowers businesses to access Amazon Redshift data within the Salesforce Data Cloud to enrich customer 360 data with operational data. This two-part series explores how analytics teams can access customer 360 data from Salesforce Data Cloud within Amazon Redshift to generate insights on unified data without the overhead of extract, transform, and load (ETL) pipelines. In this post, we cover data sharing between Salesforce Data Cloud and customers’ AWS accounts in the same AWS Region. Part 2 covers cross-Region data sharing between Salesforce Data Cloud and customers’ AWS accounts.

In this post, we explore the performance benefits of using the Amazon EMR runtime for Apache Spark and Apache Iceberg compared to running the same workloads with open source Spark 3.5.1 on Iceberg tables. Iceberg is a popular open source high-performance format for large analytic tables. Our benchmarks demonstrate that Amazon EMR can run TPC-DS […]

Kaplan, Inc. provides individuals, educational institutions, and businesses with a broad array of services, supporting our students and partners to meet their diverse and evolving needs throughout their educational and professional journeys. In this post, we discuss how the Kaplan data engineering team implemented data integration from the Salesforce application to Amazon Redshift. The solution uses Amazon Simple Storage Service as a data lake, Amazon Redshift as a data warehouse, Amazon Managed Workflows for Apache Airflow (Amazon MWAA) as an orchestrator, and Tableau as the presentation layer.