Implement anti-money laundering solutions on AWS

The detection and prevention of financial crime continues to be an important priority for banks. Over the past 10 years, the level of activity in financial crimes compliance in financial services has expanded significantly, with regulators around the globe taking scores of enforcement actions and levying $36 billion in fines .

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How MOIA built a fully automated GDPR compliant data lake using AWS Lake Formation, AWS Glue, and AWS CodePipeline

In this post, we discuss how MOIA uses AWS Lake Formation, AWS Glue, and AWS CodePipeline to store and process gigabytes of data on a daily basis to serve 20 different teams with individual user data access and implement fine-grained control of the data lake to comply with General Data Protection Regulation (GDPR) guidelines. This involves controlling access to data at a granular level. The solution enables MOIA’s fast pace of innovation to automatically adapt user permissions to new tables and datasets as they become available.

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BIOps: Amazon QuickSight object migration and version control

DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development lifecycle and provide continuous delivery with high software quality. Similarly, BIOps (business intelligence and IT operations) can help your Amazon QuickSight admin team automate assets migration and version control.

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How Tophatter improved stability and lowered costs by migrating to Amazon Redshift RA3

This is a guest post co-written by Julien DeFrance of Tophatter and Jordan Myers of Etleap. Tophatter is a mobile discovery marketplace that hosts live auctions for products spanning every major category. Etleap, an AWS Advanced Tier Data & Analytics partner, is an extract, transform, load, and transform (ETLT) service built for AWS.

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Run and debug Apache Spark applications on AWS with Amazon EMR on Amazon EKS

Customers today want to focus more on their core business model and less on the underlying infrastructure and operational burden. As customers migrate to the AWS Cloud, they’re realizing the benefits of being able to innovate faster on their own applications by relying on AWS to handle big data platforms, operations, and automation.

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Query SAP HANA using Athena Federated Query and join with data in your Amazon S3 data lake

If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use SAP HANA as your transactional data store, you may need to join the data in your data lake with SAP HANA in the cloud, SAP HANA running on Amazon Elastic Compute Cloud (Amazon EC2), or with an on-premises SAP HANA, for example to build a dashboard or create consolidated reporting.

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