Category: Analytics

Data observability enables monitoring, understanding, and troubleshooting data pipelines to ensure smooth and efficient workflows. By tracking metrics like lineage, volume, and schema, data engineers can quickly identify issues, optimize performance, and make informed decisions. TCS outlines an approach using AWS services for event ingestion, aggregation, and visualization to address observability challenges.

Symmetry Systems DataGuard is a data security posture management solution to enhance protection of sensitive data in AWS environments. It seamlessly integrates with AWS services to discover where sensitive data resides, map permissions, and identify risks—all without extracting data. Overall, the combination of AWS security services and Symmetry Systems DataGuard enables organizations to securely unlock the full potential of the cloud.

As networks become more complex, telcos need an integrated platform to manage monitoring, diagnostics, and automation. Prodapt worked with AWS to build a cloud-native, open-source network assurance platform called NeSA. It provides a single pane of glass for end-to-end visibility, faster troubleshooting, and closed-loop automation. This post details Prodapt’s experience implementing NeSA for a Tier 1 telco, reducing incident resolution time and costs.

Many organizations struggle with data silos and manual processes. Apps Associates helps companies build modern data platforms using Amazon Redshift, which consolidates data sources, reduces manual effort, and unlocks valuable insights. The Apps Associates accelerators quickly integrate data from ERP/CRM systems into Redshift to enable advanced analytics while driving cost reductions and revenue growth.

Healthcare organizations have vast amounts of valuable but siloed data. A new solution from AWS Partners Redox, Cloudwick, and ClearDATA helps healthcare customers use AWS HealthLake to extract value from their data. Redox integrates and translates data into AWS, while ClearDATA provides 24/7 security and compliance, and Cloudwick Amorphic enables teams to quickly build analytics and workflows to improve care.

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.

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.