Category: Analytics

As data volumes grow, visibility into key metrics becomes crucial for optimizing reliability, performance, and cost. Pariveda’s observability solution leverages AWS services to build operational dashboards displaying AWS Glue job details like runtimes, status, and computational load. By unlocking deeper insights, users can pinpoint optimization opportunities, troubleshoot issues faster, and drive greater efficiency across their data pipelines as workloads scale.

Generative AI adoption is rapidly growing to meet the massive data needs of modern machine learning models. Manually labeling data can be time-consuming but AWS has collaborated with Datasaur to offer solutions addressing data labeling challenges using generative AI. Datasaur’s NLP Platform automates annotation tasks and integrates with AWS services, and its LLM Labs evaluates large language models’ performance and cost for labeling.

In today’s industrial landscape, smart manufacturing is pivotal for sustainability and efficiency gains. However, organizations face challenges in gathering and consolidating data from multiple, often outdated sources on the manufacturing floor. LTIMindtree’s AWS-powered Digital Command Center (DCC) solution addresses this by enabling data acquisition, management, real-time KPI monitoring, and analytics-driven insights.

The world of video entertainment is more competitive than ever. The video entertainment landscape is crowded, so content providers must deeply understand viewer behavior to stand out. Synamedia Clarissa, built on AWS, delivers data-driven insights to help businesses boost viewer satisfaction. Clarissa analyzes video consumption and user experiences, providing content and app insights like which videos resonate best and how users discover content.

Learn how to connect the ThoughtSpot analytics platform to an Amazon Aurora MySQL database for real-time operational analytics. This post outlines the steps to create an Aurora MySQL instance, populate it with sample data, create a connection from ThoughtSpot, and build generative AI-powered analytics using natural language search. By integrating ThoughtSpot and Aurora MySQL, businesses can get instant insights from their transactional database.

Cornerstone Consulting Group developed a plugin to simplify migrating on-premises or Amazon EC2 self-managed Apache Kafka clusters to Amazon MSK. The plugin automates MirrorMaker 2 replication, scales connectors, and integrates monitoring and notifications. It supports requirements like zero data loss, minimal code changes, auto-scaling, and performance/security parity. The plugin eases complex setup steps, working seamlessly for a smooth cutover to Amazon MSK after replication completes.

Amazon Athena allows analyzing petabytes of data directly with SQL queries or via analytics tools like ThoughtSpot. This post covers creating an IAM access key, two Amazon S3 buckets (one for data storage, one for query results), creating an Amazon Athena table from sample data using an AWS Glue crawler, and establishing a connection between Athena and ThoughtSpot. With the connection, ThoughtSpot can search and visualize the Athena data using AI capabilities.

Instinet is a SaaS-based solution that Ness Digital Engineering built on AWS for the trading and finance industry. It provides technologically advanced brokerage services and helps institutional investors improve performance by reducing complexity and costs. The solution modernized Instinet’s trade processing and solved challenges with Instinet’s previous on-premises, batch-driven architecture.

Women’s sports have lacked access to data analytics geared towards enhancing their performance. AWS and KINEXON collaborated to develop player tracking technology tailored for women, with key innovations including personalized load management plans based on an athlete’s cycle. This helps establish meaningful performance thresholds derived from data, and build a supportive community to advance equality through sports technology specifically designed for women.

SaaS relies on the cloud for efficient delivery, but faces data challenges like tenant isolation, high storage costs, and compliance requirements. Amazon FSx for NetApp ONTAP solves these by providing multi-tenancy, storage efficiencies, persistent Kubernetes storage, and more. It enables SaaS providers to enhance agility while managing data availability, protection, security and costs. Arcesium reduced dev/test refreshes by 80% and overall costs by 46% using FSx for ONTAP.