IT Toolbox
APRIL 3, 2024
Unlock the secrets to closing the cloud skills gap and driving digital transformation. The post How to Address the Cloud Skills Gap in the Digital Era appeared first on Spiceworks.
IT Toolbox
AUGUST 18, 2023
Check out how organizations can transform HR with cloud-based systems. The post How to Leverage Cloud Technology for Modern HR Operations appeared first on Spiceworks.
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IT Toolbox
JUNE 19, 2023
The secret to managing rising cloud storage costs in an era of data overload. The post How to Prioritize Cost Optimization for Cloud Storage Investments appeared first on Spiceworks.
Information Week
APRIL 22, 2024
As organizations increasingly migrate data, applications, and operations to the cloud, cloud-related costs can quickly spin out of control.
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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.
IT Toolbox
JUNE 19, 2023
Closing the skills gap in the cloud will help leverage new technology and connect to customers better. The post Blocking Innovation: How to Address the Skills Gap in the Cloud appeared first on Spiceworks.
IT Toolbox
OCTOBER 2, 2023
The era of the hybrid cloud and how to lead a successful migration. The post Why Choose the Hybrid Cloud Over Full Cloud Migration appeared first on Spiceworks.
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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. How to separate compute and data by preserving data in open file and table formats. About alternative solutions such as lake houses and how they compare to next-gen cloud data lakes
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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.
Advertiser: Datadog
By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Many do this by simply replicating their current architectures in the cloud. Join Ahmad Jubran, Cloud Product Innovation Consultant, and learn how to adapt your solutions for cloud models the right way.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. How do you, as a technology leader, point your team in the right direction, especially given how quickly this is evolving?
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Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.
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Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. You’ll learn how a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use. How to enable data teams to model and deliver a semantic layer on data in the cloud.
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