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.
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IT Toolbox
SEPTEMBER 15, 2023
The biggest data risks need agile action. Here’s how cloud-native data security platforms help. The post Solving the Paradox of Public Cloud Data Security appeared first on Spiceworks.
CTOvision
AUGUST 19, 2021
In today’s interconnected, data-driven world, secure data sharing is paramount to inter-company data sharing and driving new revenue sources by monetizing essential data assets.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. 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.
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.
Forrester IT
SEPTEMBER 28, 2020
Over the last 10 years we’ve watched big data, cloud, advanced analytics, and now AI and machine learning drive increased data platform investment. Yet, there wasn’t any real change from traditional data strategy and approaches. Massive blind spots and hardened data arteries in the disruption of COVID-19.
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In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.
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Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.
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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.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.
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Businesses today compete on their ability to turn big data into essential business insights. 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.
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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.
Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS
You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Is your data secure? In which format?
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.
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