Why Choose the Hybrid Cloud Over Full Cloud Migration
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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Predictions 2024: AI Will Boost Big Cloud Players — But Threaten Them, Too
Forrester IT
OCTOBER 30, 2023
2024 brings new challenges to cloud providers and customers grappling with AI disruption. Learn more in our 2024 cloud computing predictions.
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Industry 4.0: Cloud Native Observability for Manufacturers
IT Toolbox
OCTOBER 16, 2023
Cloud-native observability is a key to Industry 4.0 success, enabling real-time insights, agile decisions, and optimal cloud usage. Cloud Native Observability for Manufacturers appeared first on Spiceworks. The post Industry 4.0:
Advancing Cloud With AI: A Recap of Google Cloud Next 2023
IT Toolbox
SEPTEMBER 1, 2023
Having tasted profits for the first time in H1 2023, Google Cloud is giving it all for a cloud-based push for AI. The post Advancing Cloud With AI: A Recap of Google Cloud Next 2023 appeared first on Spiceworks.
Best Practices for Deploying & Scaling Embedded Analytics
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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.
Zero Trust For Cloud Workloads? It’s Possible!
Forrester IT
SEPTEMBER 12, 2023
Learn more about Zero Trust in the cloud in this preview of our upcoming Security & Risk forum in Washington November 14-15.
The Future Of Cloud: Abstracted, Intelligent, And Composable
Forrester IT
JULY 17, 2023
It’s been a great decade and a half for the cloud. In my latest report, The Future Of Cloud, I lay it all out. In a nutshell, cloud is destined […] Every tech executive I speak with wants to know what’s next — and not just in the next couple of years but the next decade.
5 Things a Data Scientist Can Do to Stay Current
Advertiser: Data Robot
DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace.
Top Considerations for Building an Open Cloud Data Lake
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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.
The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture
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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.
Checklist Report: Preparing for the Next-Generation Cloud Data Architecture
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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.
Cloud-Scale Monitoring With AWS and Datadog
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.
TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics
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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.
12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI
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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.
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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