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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO

Organizations that fail to account for data gravity risk being trapped in a single cloud providers ecosystem, incurring high egress fees, experiencing latency issues and struggling with compliance requirements. The adoption of cloud-native architectures further mitigates the impact of data gravity. The lesson? Adaptability is key.

Strategy 164
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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Serverless SQL Pools for On-Demand Querying Synapse includes serverless SQL pools for ad-hoc querying of data stored in Azure Data Lake without requiring dedicated compute resources. Multi-Cloud and Hybrid Data Needs When to Use: If you need to manage and analyze data across different environments (e.g.,

Azure 91
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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. automate the handling of support tickets in a call center).

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Beyond migration – The power of Google Cloud for innovation

Capgemini

Beyond migration – The power of Google Cloud for innovation Capgemini 23 Jul 2024 Facebook Twitter Linkedin Migrating to the cloud isn’t just a matter of upgrading to the latest technology. But migrating applications to a cloud platform is only the first step in leveraging new technology for innovation.

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14 in-demand cloud roles companies are hiring for

CIO

Cloud software engineer Cloud software engineers are tasked with developing and maintaining software applications that run on cloud platforms, ensuring they are built to be scalable, reliable, and agile. Role growth: 19% of companies have added cloud software engineer roles as part of their cloud investments.

Cloud 195
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DevOps vs NoOps Explained: What’s Better For Your Project

Mobilunity

As businesses increasingly adopt cloud technologies and automation, traditional operational models are being reimagined. DevOps has long been the gold standard for agile, collaborative IT workflows that drive innovation. This leads to a more agile, flexible, and process of development. Is NoOps the end of DevOps?

DevOps 40
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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases. This results in a rapid and agile flow development process.

Agile 84