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Cloud Migration Guide: SQL Server to AWS
May 30, 2021
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CI&T is the digital technology agency empowering Agile Growth for the world’s biggest companies by leveraging advanced technologies including Cloud, IoT, Big Data, Machine Learning/AI, Social, Mobility.
whitePaper | September 18, 2021
The Milken Institute Asia Center extends the reach and impact of Milken Institute
programs, events, and research to the Asia-Pacific region. We identify opportunities
to leverage the Institute’s global network to tackle regional challenges, as well as to
integrate the region’s perspectives into the development of solutions to persistent
whitePaper | May 13, 2021
This white paper provides a technical overview of cloud storage as a long-term retention storage solution with Veritas NetBackup™. It highlights the overall solution architecture components, integration flow and best practices.
whitePaper | February 17, 2022
Qualys, Inc. is a pioneer and leading provider of cloud-based security and
compliance solutions. The Qualys Cloud Platform and its integrated apps help businesses
simplify security operations and lower the cost of compliance by delivering critical
security intelligence on demand and automating the full spectrum
whitePaper | April 12, 2021
In this eBook, we’ll explore the evolution of the enterprise data center, impacts of cloud-powered digital solutions, and how to manage hybrid IT solutions.
Operators of enterprise data centers face a rapidly evolving technology landscape and a cloud-powered wave of disruption that is changing business models, connectivity, workload management and much more. Driving this change is the growing availability and adoption of opex-based ‘off-premises’ services, such as public cloud, X-as-a-service and colocation data center offerings. Yet not all workloads are being, or can be, outsourced. This means that operators are increasingly managing ‘hybrid’ IT environments – that is, a mix of off-premises services and privately owned, internal ‘on-premises’ data center capacity.
whitePaper | March 29, 2022
As the proliferation of digital technologies continues to disrupt market segments and industries, adopting Amazon Web Services (AWS) can help you transform your organization to meet the changing business conditions and evolving customer needs. As the world’s most comprehensive and broadly adopted cloud platform, AWS can help you lower costs, reduce business risks.
whitePaper | November 26, 2019
The buzz surrounding artificial intelligence (AI) is hard to ignore. Huge data sets and large amounts of compute are the perfect match for deep learning, astonishing us with algorithms that have beaten grandmasters at games of chess and Go. Today, with access to no more than a web browser, the benefits enabled by breakthroughs in image and speech recognition not to mention machine translation and more are just a few clicks away. There’s the growth of the cloud to consider too. We’re depositing more and more of our data on virtual drives that make it easier to share, back-up and transfer information providing us with new opportunities both in the office and at home. But what do machine learning and cloud computing mean for scientific research? How can these tools help researchers to manage and navigate the vast datasets generated by increasingly sophisticated detectors and experiments? At big science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online and new instruments are installed. That’s a lot of data to analyse and verify.
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