Remove Dashboards Remove Data Architecture Remove Recreation/Entertainment
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving. This can save time.

Data Lake 122
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Porsche Carrera Cup Brasil gets real-time data boost

CIO Business Intelligence

Dener worked with Microsoft and its partner BlueShift to develop the requirements and process the data. Together, they established a core architecture that the company could build on to develop its engineering capabilities and, eventually, support for entertainment and broadcasting, which remains on Morrone’s roadmap.

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Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). The second is that the company’s management team will want real-time updates and analysis of how sales are performing.

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How Amazon Finance Automation built a data mesh to support distributed data ownership and centralize governance

AWS Big Data

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 98
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Flexible and secure Data-as-a-Service delivered today

Birst BI

DaaS is a core component of modern data architecture. It provides a governed standard for accessing existing data objects and pipelines for sharing new data objects within an organization. Because it hides the underlying complexities of connecting to and preparing data sources, DaaS helps expand usage of available data.

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A guide to efficient Oracle implementation

IBM Big Data Hub

During configuration, an organization constructs its data architecture and defines user roles. In this phase of implementation, organizations should determine which reports are best captured on an intermittent basis, and what kind of data is better visualized through one of the platform’s real-time monitoring dashboards.

Testing 71