Tag: Analytics

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.

Learn how PwC Customer Insights Engine on AWS is aimed at creation of single view of a customer by aggregating all data about that customer from across channels. CI Engine will provide end-to-end business outcomes with a readily-available analytics engine powered by machine learning (ML) and integrated with out-of-the-box analysis templates, ingestion, and transformation patterns and data pipelines.

Snowflake By Daniel Wirjo, Solutions Architect – AWS By Benny Chun, Solutions Architect – AWS By Bosco Albuquerque, Sr. Partner Solutions Architect – AWS By Hans Siebrand, Cloud Data Architect – Snowflake By Matt Marzillo, Sr. Partner Engineer – Snowflake With recent advancements, building a data platform to provide a data foundation for generative AI […]

It’s critical to identify and protect the sensitive data collected from any unauthorized disclosure, and it’s the responsibility of every organization to effectively discover, control, and manage their sensitive data footprints and comply with relevant data protection laws. Learn how HCLTech‘s DataPatrol framework accomplishes critical tasks in the lifecycle of sensitive documents and improves sensitive data discovery and governance across your AWS environment.

Amazon Redshift Serverless makes it easier to run and scale analytics without the burden of managing infrastructure. Learn how you can use Matillion Data Loader to extract data from source systems and load it to Amazon Redshift Serverless without having to worry about coding or managing infrastructure. Matillion Data Loader enables organizations that have data coming in from an ever-increasing number of sources and need faster, simpler access to insights and analytics.

Hyland Software’s Alfresco Content Services 7.3 enables enterprises to deliver open, flexible, and highly scalable solutions by providing capabilities for full-featured enterprise content services. Explore a simplistic deployment to show the ease in which Amazon OpenSearch Service is used with Alfresco Content Services and Alfresco Search Enterprise running in Amazon EKS on AWS Fargate. Production-grade deployments that require high availability and durability can be guided by this post.

As data sources are becoming increasingly varied and data volume increases multifold, traditional data platforms can prevent organizations from analyzing data at scale and turning that information into tangible business insights. Cognizant Data and Intelligence Toolkit-Migration Studio streamlines the modernization journey with a suite of pre-built accelerators that can simplify and speed up every stage of migration, including discovery, ETL, business intelligence reports migration, and validation.

Tenant data isolation is a core SaaS concept, verifying that tenant resources remain in isolated environments. There are a number of ways to achieve this isolation, and one common approach is to use a token vending machine that issues tenant-scoped credentials at runtime. Explore an alternate approach to vending tokens that uses Amazon EKS and open-source HashiCorp Vault, simplifying access to the credentials and streamlining the overall management of tenant-scoped policies.

Prometheus is an open-source systems monitoring and alerting toolkit which many companies and organizations have adopted. OpsWatch from Arvato Systems helps to bridge the gap between Prometheus native and non-native Amazon CloudWatch metrics and Amazon GuardDuty events. OpsWatch does this by consuming metrics, transforming and enriching them. They can be displayed in dashboards and/or trigger alerts. This gives the operator a single pane of Prometheus with powerful monitoring capabilities.

The modern data lake has solved a number of challenges associated with the traditional data warehouse, such as the ability to store unstructured, semi-structured, and structured data in one cost-efficient location. Explore the best practices for structuring your data lake analytics with Starburst Galaxy and AWS. Starburst Galaxy is a cloud-native service which provides fast access and flexible management of data, without adding the complexity of data movement.