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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Data landscape in EUROGATE and current challenges faced in data governance The EUROGATE Group is a conglomerate of container terminals and service providers, providing container handling, intermodal transports, maintenance and repair, and seaworthy packaging services. Eliminate centralized bottlenecks and complex data pipelines.

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

Under the federated mesh architecture, each divisional mesh functions as a node within the broader enterprise data mesh, maintaining a degree of autonomy in managing its data products. By treating the data as a product, the outcome is a reusable asset that outlives a project and meets the needs of the enterprise consumer.

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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

After connecting, you can query, visualize, and share datagoverned by Amazon DataZone—within the tools you already know and trust. To achieve this, you need access to sales orders, shipment details, and customer data owned by the retail team. The data producer from the retail team will review and approve your subscription.

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Why The Public Sector Needs Data Governance

Alation

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

To help you digest all that information, we put together a brief summary of all the points you should not forget when it comes to assessing your data. Ensure data governance : Data governance is a set of processes, roles, standards, and metrics that ensure that organizations use data in an efficient and secure way.

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How CFM built a well-governed and scalable data-engineering platform using Amazon EMR for financial features generation

AWS Big Data

At this stage, CFM data scientists can perform analytics and extract value from raw data. Resulting datasets are then published to our data mesh service across our organization to allow our scientists to work on prediction models. The interface is tailor-made for our work habits.

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Talk Data to Me: Why Employee Data Literacy Matters  

erwin

In the whitepaper he states, the priority of the citizen analyst is straightforward: find the right data to develop reports and analyses that support a larger business case. Increased data variety, balancing structured, semi-structured and unstructured data, as well as data originating from a widening array of external sources.