Cloud Related Topics 
CIO
JANUARY 8, 2025
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester. Are they truly enhancing productivity and reducing costs?
CIO
NOVEMBER 18, 2024
Cloud can unlock new capabilities to strategically drive the business. As a result, organisations are continually investing in cloud to re-invent existing business models and leapfrog their competitors. Understanding this relationship is crucial in providing valuable context on cloud expenditure.
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CIO
NOVEMBER 14, 2024
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Much of this growth is driven by investments in AI technologies, and IDC also expects cloud infrastructure spend to increase 26% compared to 2023.
CIO
NOVEMBER 26, 2024
Du, one of the largest telecommunications operators in the Middle East, is deploying Oracle Alloy to offer cloud and sovereign AI services to business, government, and public sector organizations in the UAE. However, with the rapid adoption of AI and cloud technologies, concerns over security and data privacy are paramount.
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.
CIO
NOVEMBER 19, 2024
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. Traditional systems often can’t support the demands of real-time processing and AI workloads,” notes Michael Morris, Vice President, Cloud, CloudOps, and Infrastructure, at SAS. But this scenario is avoidable.
CIO
DECEMBER 9, 2024
As organizations globally discover new opportunities created by AI, many are investing significantly in GenAI, including as part of their cloud modernization efforts. The fact that these applications were not born in the cloud makes efforts to update them laborious at best and sometimes impossible.
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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.
Advertiser: Datadog
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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