Category: Database

Customer data is critical for modern digital organizations, but is often scattered across tools which can render it useless. Historically, customer data platforms (CDPs) aimed to consolidate data for insights and activation, but organizations now prefer a composable CDP architecture on AWS to sync data from Amazon Redshift and Amazon S3 into downstream tools. Hightouch facilitates this composable CDP approach, making it easy to activate AWS data across channels without engineering work.

As data becomes increasingly valuable, robust security measures are critical. This post reviews how Protegrity’s tokenization integration with Amazon Redshift Dynamic Data Masking enables organizations to effectively protect sensitive data. It provides an overview of key concepts like Protegrity Vaultless Tokenization and Redshift Dynamic Data Masking, including code examples to better safeguard sensitive information within their Redshift data warehouse both at rest and in use.

Leveraging AWS Lambda response streaming functionality enables progressive data delivery from large datasets, enhancing web application performance. This post compares a traditional API implementation to a Lambda streaming API, demonstrating reduced time-to-first-byte latency and quicker, more dynamic client-side rendering. By incrementally sending data, response streaming eliminates lag from waiting on entire dataset transfers, vastly improving user experience for data-intensive applications.

ADP provides cloud-based human capital management solutions to over 1 million clients in 140 countries. Using an active-active multi-region architecture on AWS, ADP built a highly available and resilient Voice of Employee application to collect employee feedback throughout the workforce lifecycle. The multi-region deployment meets availability goals and leverages AWS services to enable rapid disaster recovery.

Brands struggle to deliver personalized customer experiences, giving competitors with real-time end-to-end personalization a competitive edge. Mastering personalization requires unifying customer data across systems into a Customer 360 view. RudderStack and AWS make building a Customer 360 in Amazon Redshift easy, as RudderStack handles complex data unification and automatically generates insights while Redshift provides a scalable, performant data warehouse.

Verana Health leverages an exclusive real-world data network and AI-enhanced data engine to transform healthcare data into curated, disease-specific data modules called Qdata. This powers Verana’s analytics solutions for real-world evidence generation, clinical trials, quality reporting, and registry data management to enhance patient care and quality of life. Through AWS Data Exchange and Amazon Redshift, Verana offers life sciences customers easy, convenient access to high-quality clinical real-world data for research.

Winning and retaining customers requires thoughtful engagement fueled by customer data. While legacy customer data platforms (CDPs) aggregate data, they also create silos. RudderStack’s warehouse-native CDP built on Amazon Redshift provides flexible data pipelines to collect, unify, and activate customer data. This eliminates silos and establishes a single source of truth to enable teams to collaborate and create tailored customer experiences that drive growth.

Many AWS customers using SQL Server for analytics seek to migrate to Amazon QuickSight, a cloud-native business intelligence that provides interactive dashboards and charts unmatched by SQL Server Reporting Services (SSRS). IPsense developed a tool to accelerate migrating SSRS reports to QuickSight which automates converting SSRS queries and stored procedures into AWS Glue jobs that populate a cloud data lake.

Shipsy is an AWS Partner and AI-powered logistics management platform that streamlines supply chain operations. Shipsy’s business intelligence platform leverages AWS to deliver a robust, cost-effective analytics infrastructure that provides rapid, reliable insights from operational data. It enables powerful visualization and equips businesses with the tools needed to evaluate performance and boost data-driven decision making.

Customers who move to managed databases innovate faster, spending more time building new applications and less time managing infrastructure. Learn how Ippon assisted CallRail’s successful migration from self-managed PostgreSQL to Amazon RDS for PostgreSQL. This migration alleviated the strain caused by substantial workloads on the database and unblocked cost savings by eliminating manual database maintenance and management.