Cloud Related Topics 
Forrester IT
FEBRUARY 5, 2024
In 2023 global cloud vendors all came up with their own digital sovereignty solution to address rising concerns from their customers. The lack of an agreed definition makes the job of cloud vendors harder […]
Forrester IT
AUGUST 15, 2024
Forrester’s top ten cloud trends for 2024 report is out. Yet there are other fundamental shifts in play — the rise of the intelligent edge, increased cloud compliance complexity, and (finally!) No one will be surprised that AI figures prominently. mature multicloud networking offerings.
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Forrester IT
APRIL 1, 2024
Corporate cloud strategies that yesterday centered on the unglamorous transition of legacy apps from out of the data center, along with some new cloud-native apps, must now incorporate transformative technologies with radically different value propositions — all without breaking the IT budget.
Forrester IT
APRIL 23, 2024
Cloud has driven enterprise IT transformation with speed and scale that was simply impossible with data centers alone. But operating models haven’t always kept up — and the mismatch means that old operating models impede the optimization of cloud IT.
Advertiser: Procom Services
With detailed pay rate data for top IT positions like Cybersecurity Consultants, Cloud Engineers, and Salesforce Developers, this guide is an essential resource for companies looking to stay competitive in today’s evolving workforce landscape. Download the guide to navigate 2024’s talent market with confidence.
Forrester IT
JULY 18, 2024
Our latest report highlights how these linear asset intensive industries, although relatively late to public cloud, are now eagerly pursuing its potential.
Forrester IT
MAY 10, 2024
The consistent, high-usage profile of data centers may lead us to believe that cloud data centers are markedly more sustainable than private cloud data centers. But data shows that public cloud now has a greater carbon footprint than the airline industry – a notoriously carbon-intensive segment.
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Deployment: Benefits and drawbacks of hosting on premises or in the cloud. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach. Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.
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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. Read this paper to learn about: The value of cloud data lakes as the new system of record.
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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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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.
Advertiser: 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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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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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.
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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