Cloud Related Topics 
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.
CIO
NOVEMBER 28, 2024
For enterprises operating on the cloud, security and cost management are rising concerns. As CIOs seek to gain more control over their cloud spending and security, it’s time for these teams to work together more closely. Other options for building dashboards include Azure Monitor or open-source tools such as Grafana or Kibana.
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CIO
DECEMBER 2, 2024
In this issue, we look at how IT leaders are reworking their cloud implementations for better fit to their needs, as well as how they can control cloud costs and ensure cloud security.
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.
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 4, 2024
The problem is clear: Enterprise IT teams desperately need a solution to manage all these environments — data centers, edge, and public clouds — and gain the necessary agility to meet these mighty challenges. If the platform requires this step before migrating workloads to the cloud, the enterprise won’t see much return on investment.
CIO
JULY 26, 2024
But the majority of companies in Germany, in particular, rely on the cloud in its various facets, and have now achieved a certain level of maturity when it comes to migrating workloads. The pressure to modernize IT and business processes has now clearly led to most cloud transformation projects being planned and implemented.
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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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