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Successfully conduct a proof of concept in Amazon Redshift

AWS Big Data

By testing the solution against key metrics, a POC provides insights that allow you to make an informed decision on the suitability of the technology for the intended use case. Discovery phase The discovery phase is considered the most essential among the three phases and the longest.

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How to become an AI+ enterprise

IBM Big Data Hub

Become an AI+ enterprise An AI+ enterprise innovates with AI as the primary focus, understands that AI is fundamental to the entire business, and recognizes that AI impacts all aspects of the business: product innovation, business operations, technical operations, as well as people and culture.

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Enterprise Architecture Tools and the Changing Role of the Enterprise Architect

erwin

EA also enables a better understanding of change, or impact analysis – which is essential considering the agile, data-driven landscape and its state of flux. Related content: 2019 Gartner Magic Quadrant for Metadata Management Solutions. The Changing Role of the Enterprise Architect. Retain organizational knowledge.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done. It’s not been going well. How do you scale an organization without hiring an army of hard-to-find data engineering talent?

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Accelerate hybrid cloud transformation through IBM Cloud for Financial Service Validation Program

IBM Big Data Hub

IBM has created the solution for this problem with its Financial Services Cloud offering, and its ISV Financial Services validation program, which is designed to de-risk the partner ecosystem for clients. Most of these new technologies are born-in-cloud. Banks want to tap into these new innovations. Why a FS Cloud and FS Validation Program?

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Top Use Cases for Enterprise Architecture: Architect Everything

erwin

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. It helps model, manage and transform mission-critical value streams across industries, as well as identify sensitive information. As such, the function has changed from EA to AE.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.