Category: Amazon Redshift

VTEX’s e-commerce platform operates on a multi-tenant model, where multiple retailers share the same infrastructure. While this approach offers scalability benefits, it presents a significant challenge: accurately determining and managing costs for each tenant. This article delves into the complexities of cost allocation in a shared environment, exploring how VTEX balances the advantages of aggregated demand with the need for precise financial management. Discover the intricate dance of infrastructure, services, and support costs that keeps this e-commerce giant competitive and financially sustainable.

Palo Alto Networks faced challenges processing IoT security data at scale. They partnered with AWS to implement a new architecture using Amazon Redshift. This solution improved data processing speeds and created a dedicated pipeline for device data. Key outcomes included 50% faster API responses, real-time data aggregations, 40% infrastructure cost reduction, and improved system resilience. The new architecture enhanced Palo Alto Networks’ ability to serve customers and explore emerging technologies, reinforcing their leadership in IoT security.

Coverage and utilization metrics can be misleading and do not always tell the full story when it comes to managing commitments and measuring their impact. Effective Savings Rate (ESR) is an objective FinOps metric that measures your true ROI. In this blog post, we will discuss challenges with coverage and utilization, why ESR is important, benchmarking insights, and automation with ProsperOps.

By Israel Mendes, Data Engineering leader – Caylent By Washim Nawaz, Analytics Specialist – AWS By Isaac Owusu-Hemeng, Customer Solutions Manager – AWS By Muz Syed, Sr. Partner Solutions Architect – AWS Caylent  In this post, we will discuss how APN Premier partner Caylent leveraged a 3-Day Experience Based Acceleration (EBA) workshop to finalize and […]

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.

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.

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.

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.

Fivetran and Amazon Redshift Serverless help companies integrate data from various sources into a centralized data warehouse. This allows for automated data movement, transformation, and scalability without infrastructure management. Together, Amazon Redshift Serverless and Fivetran offer connectors to over 250 data sources and reliable analytics so organizations can make better data-driven decisions.

Online analytical processing (OLAP) is a method of organizing datasets in a multi-dimensional format for quick analysis and provides deeper insights for decision-makers. Multi-dimension analysis is widely adopted by analysts, knowledge users, and power users for their decision support process. Learn how utilizing AWS analytic services and migration tools together with HCLTech frameworks to orchestrate OLAP solutions.