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Migrating Data to the Cloud: Things You Need to Know

Alation

With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing? Alation & Global Data Strategy). Data Strategy Drives Cloud Strategy.

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You Needed to Use External Data Yesterday

TDAN

There’s an impossible amount of information thrown at us every day. Our jobs, calls, emails, news media, dashboards, more emails, Slack, LinkedIn, and all the rest all take up a substantial portion of our mental energy. But, without that information coming in, we’d be clueless about our surroundings.

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SAP Datasphere review: turning data from a technical problem to a business data product.

Jen Stirrup

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

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A Guide to Data Analytics in the Travel Industry

Alation

Use cases for analytics in travel and tourism How can travel and tourism companies use data analytics to improve business ROI? Below are a few examples demonstrating how these organizations wield data as a strategic asset for the business. Using Alation, ARC automated the data curation and cataloging process. “So

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Using DataOps to Drive Agility and Business Value

DataKitchen

Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Bergh added, “ DataOps is part of the data fabric. You should use DataOps principles to build and iterate and continuously improve your Data Fabric. DataOps Maximizes Your ROI. Design for measurability.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.