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

AWS Big Data

In this post, we’ll guide you through connecting various analytics tools to Amazon DataZone using the Athena JDBC driver, enabling seamless access to your subscribed data within your Amazon DataZone projects. To achieve this, you need access to sales orders, shipment details, and customer data owned by the retail team.

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

At best, you’ll get a model you can put in production right now (short time-to-market), buying your team the time to custom-tune something else (to get better performance). Especially when you consider how Certain Big Cloud Providers treat autoML as an on-ramp to model hosting. Is autoML the bait for long-term model hosting?

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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

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g.,

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau. With a unified catalog, enhanced analytics capabilities, and efficient data transformation processes, were laying the groundwork for future growth.

IoT 111
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data 275
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The 10 biggest issues IT faces today

CIO Business Intelligence

New technologies hit the market, existing ones evolve, business needs change on a dime, staff comes and goes. So now there’s a focus on ‘transversal transformation,’” Hackenson adds. I thought I was hired for digital transformation but what is really needed is a data transformation,” she says. Customer experience.

IT 144
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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

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. Consumer feedback and demand drives creation and maintenance of the data product.

Metadata 105