AWS Partner Network (APN) Blog

Tag: Data Lake

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Rapid Accelerators for SAP Business Content with the Atos AWS Data Lake Accelerator for SAP

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.

Mendix and AWS Drive Development of Cold Chain Logistics with Environmental and Economic Goals

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.

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Securely Querying Your Data Lake with Ahana Presto and AWS Lake Formation

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.

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Dremio Cloud is a Lakehouse Platform on AWS That Democratizes Data

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.

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How Genpact is Innovating the Data-Driven Finance Office

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.

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Automate Data Sharing with Informatica Axon Data Marketplace and AWS Lake Formation

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.

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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.

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Using Databricks SQL on Photon to Power Your AWS Lake House

Databricks SQL is a dedicated workspace for data analysts that comprises a native SQL editor, drag-and-drop dashboards, and built-in connectors for all major business intelligence tools as well as Photon. In this post, Volker Tjaden, an APN Ambassador from Databricks, shares the technical capabilities of Databricks SQL and walks through two examples: ingesting, querying, and visualizing AWS CloudTrail log data, and building near real-time dashboards on data coming from Amazon Kinesis.

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How Accenture Accelerates Building and Monetizing Production-Scale Data Lakes Natively on AWS

Unlocking data intelligence and implementing modern data architectures can turn organizations into data-driven enterprises and help drive business outcomes. Learn how AWS and Accenture are helping customers transform to data-driven organizations through Accenture’s Data Lake Accelerator built on AWS. It’s a one-stop solution for automated data platform creation, managed data transformation, and data and analytics performed in a cloud-native way.

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How the TCS EZ Lake Access Solution Simplifies Data Lake House Access Management

Many organizations leverage unstructured data collected from social media feeds, stock streaming, and data clickstream to gain insights about the needs of their customers. The EZ Lake Access (EZLA) solution developed by TCS centralizes and simplifies access management of the Data Lake House by codifying most of the enterprise access controls in the form of a rule engine. This provides increased efficiencies and easy adoption of the Data Lake House.