Category: Database

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 HAQM 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 HAQM 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 HAQM 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 HAQM 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 HAQM 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.

HAQM RDS Custom for Oracle provides all the management benefits of HAQM RDS, as well as the ability to customize the database. While RDS makes it easy to set up, operate, and scale relational databases within AWS, however, legacy applications like Oracle E-Business Suite (E-BS) require customization of database environments not supported by RDS. Learn about Navisite’s implementation of Oracle E-BS with HAQM RDS Custom for Oracle, along with advice for setup and management.

Neo4j is a graph data platform that, together with HAQM Bedrock, offers a compelling value add to any enterprise. Learn about the knowledge retrieval and extraction processes and review a couple of retrieval augmented generation (RAG) application architectures. Using HAQM Bedrock and Neo4j, you can simplify the knowledge extraction process which can be more complex and manual using traditional NLP libraries.

The installation of highly available, scalable, and reliable SAP systems is a crucial aspect to consider for customers embarking on their greenfield, brownfield, or bluefield SAP projects. AWS Launch Wizard for SAP offers a guided wizard-based experience that simplifies and accelerates the deployment of SAP systems based on HANA database. Deloitte is the key partner in testing beta features for AWS Launch Wizard for SAP and has done significant testing and provided feedback in enhancing the service features.

The integration of geospatial data into the broader business intelligence and decision-making process is referred to as location intelligence. On AWS, you can use the Snowflake Data Cloud to integrate fragmented data, discover and securely share data, and execute diverse analytic workloads. This post shows how you can enrich your existing Snowflake data with location-based insights using HAQM Location Service for location intelligence workloads.