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CIOs rethink all-in cloud strategies

CIO

After years of marching to the cloud migration drumbeat, CIOs are increasingly becoming circumspect about the cloud-first mantra, catching on to the need to turn some workloads away from the public cloud to platforms where they will run more productively, more efficiently, and cheaper.

Strategy 361
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Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO

By: Scott Sellers , Co-Founder and CEO, Azul From the get-go, the cloud promised to help companies scale up their architectures in seconds, run their applications faster, never turn away a transaction, and save money through economies of scale. Here are four steps to getting the most out of cloud computing resources in an economical manner.

Cloud 305
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Industry clouds give CIOs on-ramp to gen AI

CIO

And that’s all thanks to Beltzer’s decision to give RBC private equity advisors a vertical industry cloud that offered financial services out-of-the-box that are both customizable and extensible. And, with access to features such as Einstein, CIOs choosing industry clouds may be able to accelerate innovation further.

Industry 338
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ADP’s cloud transformation pays dividends

CIO

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. That big cloud investment allowed them to begin competing against companies like Workday, SAP, and Oracle.” An early partner of Amazon, the Roseburg, N.J.-based

Cloud 290
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Ultimate Guide to the Cloud Data Lake Engine

Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. Key takeaways from the guide include: Why you should use a cloud data lake engine. What workloads are suitable for cloud data lake engines.

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4 hidden risks of your enterprise cloud strategy

CIO

As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT. That’s where the contract comes into play.

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Oracle bolsters distributed cloud, AI strategy with new Mexico cloud region

CIO

Earlier this month, the company said it expects cloud revenue to grow 29% to 31% in the second quarter of 2024, driven by high demand for AI and generative A I workloads from enterprises. billion quarterly in cloud infrastructure. In December last year, Oracle launched a public cloud region in Chicago.

Cloud 361
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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. About alternative solutions such as lake houses and how they compare to next-gen cloud data lakes How to separate compute and data by preserving data in open file and table formats.

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

Instead of considering the data warehouse and the data lake as independent “data islands” that coexist in a cloud platform, it is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers.

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Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

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

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. Businesses today compete on their ability to turn big data into essential business insights.

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Detect and Respond to Threats Across Your Applications, Networks, and Infrastructure

As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.

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Monitoring AWS Container Environments at Scale

Download this eBook to learn about: The changing state of containers in the cloud and explore why orchestration technologies have become an essential part of today’s container ecosystem. Key metrics to monitor when leveraging two container orchestration systems.