Tag: Data Lake
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.
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.
Data governance serves an important role in ensuring the quality, consistency, and security of data utilized across an organization. Using a multi-account structure with cross-account access is an AWS best practice that offers several other benefits. Learn how to set up a data governance system in AWS Organization accounts with clients’ use cases and solutions, and how ASCENDING overcame the technical challenges listed above.
Many SAP enterprise customers have deployed data lakes to optimize manufacturing outcomes, track business performance, improve forecast, and accelerate product lifecycle management. The initial process of data extraction involves bringing data from commercial off-the-shelf (COTS) applications and non-COTS applications. Learn how the Atos AWS Data Lake Accelerator for SAP helps customers build a scalable data lake for SAP systems such as SAP S4/HANA or SAP ECC.
To create more sustainable solutions that yield less food loss and waste, Mendix, a leading low-code application development platform owned by Siemens, and AWS worked together to help suppliers develop connected and transparent logistics. This post explains how organizations can leverage the Mendix platform, AWS Internet of Things (IoT), and artificial intelligence (AI) and machine learning (ML) services to manage logistics of temperature-controlled products.
Ahana provides a fully managed and easy-to-use service for running Presto on AWS, and customers like Metropolis use Ahana to query data in their Amazon S3-based data lake for business intelligence, ad-hoc analytics, and reporting. Learn how Metropolis uses AWS Lake Formation and Ahana to build a data lake that allows their analysts and data scientists to develop a simple, hands-free parking experience for their customers.
Dremio Cloud is a cloud lakehouse platform on AWS that democratizes data and provides self-service access to data consumers by connecting business intelligence users and analysts directly to data on Amazon S3 and beyond. Learn about the benefits of Dremio Cloud, how to set it up, and start using Dremio’s high-performance lakehouse platform in less than 15 minutes. Review Dremio Cloud’s key features and explore a getting started tutorial with sample datasets.
Forward-looking finance teams will build resilience and responsiveness to future disruption. To deliver this strategic mandate, finance offices must be data-driven and share insights that help the organization connect, predict, and adapt within a changing business environment. Learn how Genpact’s data lake analytics reference architecture helps finance teams incorporate functional expertise into AWS solutions with the goal of delivering business impact beyond increased productivity.
A key goal of modern data strategy, whether a data mesh, data fabric, data lake, or data warehouse, is to deliver access to data when and where it’s needed. Learn how AWS and Informatica can combine and automate data governance for access within a data marketplace. This solution combines Information’s data governance architecture and the Informatica Intelligent Data Management Cloud (IDMC) which orchestrates and automates data access management with AWS Lake Formation.
IBM Telematics Hub for Insurance Companies: Crash Management, Fraud Detection, Driving Behavior, and More
Insurance companies need a solution to effectively manage vehicle insurances provided to their end customers, and telematics solutions are used to monitor and manage these fleets. Learn how IBM developed Telematics Hub that focuses on risk analysis, crash and claim management, and more. The solution can be extended to additional use cases and integrate with many third-party IoT devices and applications for vehicle data collection.