Category: Analytics

Vcinity’s data movement and remote data access solutions enable enterprises to build continuous data pipelines that provide secure, performant access to distributed data. By extending high-speed networking protocols over wide area networks, Vcinity allows AWS services to operate on remote data as if it were local, reducing data transfer costs and latency. This enables real-time analytics, AI/ML model training, cloud migrations, and other use cases.

Organizations have data scattered across various systems and locations, and although data lakes help centralize data enterprises still rely on traditional systems. Data scientists need access to all data to extract insights for decisions. Starburst offers real-time access to distributed data, challenging the single-source model. Learn how Starburst Data Products enable creating, managing, and sharing curated datasets or data products from diverse sources to simplify analytics and accelerates insights without moving data.

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.

Spatial data creates data management challenges. Ellipsis Drive on Amazon S3 solves pain points: no scalable ingestion into a data lake, no interoperable searchability for analytics, no on-demand rendering. Benefits include scalability and time savings on management and transformation by automating ingestion and structuring; faster querying using patent-pending archives; and instant access to data to feed models and apps.

CyberCX built an AWS serverless data lake and data masking solution to enable using production data securely in non-production environments. The modular, AWS-native solution combines AWS services to mask sensitive data in near real-time while retaining data utility. This allows thorough testing and confidence before deployment to production, improving data security and accelerating time to market.

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.

AWS PrivateLink allows customers to securely connect cloud and on-premises data sources to Alation’s data catalog without exposing traffic to the public internet. This integration provides private connectivity between the customer’s VPC and Alation Cloud Service and simplifies network architecture. Using PrivateLink with Alation enables organizations to build a catalog of metadata from selected data assets while maintaining compliance with security and regulatory requirements.

Kyndryl built an AI solution on AWS to detect pores in welding using acoustic data and a custom algorithm with voltage data. It’s an end-to-end solution that collects data from welding machines, processes it at the edge to detect pores, and streams it to the AWS cloud for historical analysis. Kyndryl’s pore detection solution on AWS increases quality and optimizes manufacturing, improving defect detection accuracy while increasing efficiency and reducing rework costs and customer churn.

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.

Cloud data storage has reduced costs but created data integration challenges. As a data integration pattern, extract, transform, load (ETL) processes are falling short, as they can be time-consuming and brittle. Denodo’s data virtualization platform simplifies integration by creating a unified logical layer, eliminating ETL. Combined with AWS services, Denodo enables agile, real-time decisions without moving data while accelerating time-to-insight.