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Your New Data Center Services, Infrastructure Outsourcing, And Semiconductor Analyst

Forrester IT

I am happy to announce that my coverage area now includes Data Center Services, Infrastructure Outsourcing, and Semiconductors. This is in addition to my existing coverage of Technical Debt and Enterprise Architecture.

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What Is a Data Center? Working, Types, Architecture, and Best Practices

IT Toolbox

A data center houses backend computers (without a user interface) and ancillary systems like cooling and networking. The post What Is a Data Center? Working, Types, Architecture, and Best Practices appeared first on.

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Modernize Your Cloud Governance To Match Today’s Cloud Strategy

Forrester IT

Your cloud usage continues to grow. Your cloud governance must match this new reality. The types of workloads you’re migrating are trending increasingly mission-critical.

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Supercharging Data Fabrics With Generative AI

Forrester IT

Data fabric has been gaining traction in the enterprise.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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Get the most value from your data with data lakehouse architecture

Venture Beast

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams the most recent data. Read More.

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New Aerospike Kubernetes Operator Advances Consistent App Delivery Across Hybrid and Multi-Cloud Deployments

CTOvision

Aerospike, provider of next-generation, real-time NoSQL data solutions, has released the Aerospike Kubernetes Operator and advancements in Aerospike Cloud Managed Service to help enterprises unlock cloud productivity and agility with scale-out cloud data.

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI.