Category: Analytics

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.

The use of commercial databases like Oracle DB and middleware like Oracle WebLogic can become blockers in a company’s migration journey to AWS. Customers find the licensing and maintenance of commercial applications expensive, and are often locked in between license renewals of Oracle DB. Learn how Hexaware leverages its well-defined migration methodology and automated cloud migration and management platform Amaze for replatforming of legacy applications.

Turning large amounts of raw data into insights has been cited as one of the most challenging problems by executives. Learn how OpenText InfoArchive on AWS can help you take control of your “business complete data,” which refers to data that is no longer changing and needs to be kept for compliance purposes. When deployed on AWS, customers have access to serverless technologies to integrate their existing data-generating systems while enriching data with AI/ML-powered insights along the way.

Amazon Redshift is a column-oriented database management system that stores data in columns, making it quicker to analyze data. The platform also performs a continuous backup of data, eliminating the risk of losing data or the need to plan for backup hardware. Learn how Hexaware’s automated platform, Amaze for Data & AI, transforms on-premises data warehouse ecosystems to the cloud while ensuring business keeps running smoothly and uninterrupted.

Gogo is a global provider of broadband connectivity products and services for business aviation. It needed a qualified engineering team to undertake a complete transition of its solutions to the cloud, build a unified data platform, and streamline the best speed of the inflight internet. Learn how N-iX developed the data platform on AWS that aggregates data from over 20 different sources using Apache Spark on Amazon EMR.

Without following an adequate data governance framework, data quality remains elusive, especially as the data is managed and retained in silos and organizations struggle to achieve a holistic enterprise-wide view of all of their big data assets. Hear from AWS and Mactores Cognition experts how data lake house technology helps overcome the limitations of data lake and data warehouse systems, and explore architectural characteristics of the data lake house and how these help users optimize data orchestration workflows.

Samsung SDS is an information and communications technologies arm of the Samsung Group. Its Brightics AI solution provides services from the perspective of an integrated analysis environment by containerizing open sources such as analytic functions. Explore the architecture for how a multi-national electronic manufacturing company established a model development and analysis platform using Brightics AI on AWS to predict markets and establish sales strategies through AI models.

A new, data-as-a-product paradigm helps make data more consumable while promoting domain-oriented decentralization of ownership. Learn how Accenture helps enterprises implement decentralized domain-driven architectures and deliver data products by leveraging AWS. In particular, we’ll review how new features in Amazon Redshift, such as data sharing and integration with AWS Data Exchange, can help accelerate time-to-market delivery of data products to increase business value.