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Description
Veritas Netbackup Verified Support On Premise Subscription License 1 Tb Capacity 3 YearThe Veritas NetBackup Verified Support On Premise Subscription License 1 TB Capacity 3 Year delivers enterprise grade data protection tailored for government organizations. With a robust 1 TB capacity, a three year license horizon, and verified support, this on premise solution combines reliability, security, and predictable budgeting. Designed to streamline software procurement for public sector bodies, it provides easy access to Veritas proven
The Veritas NetBackup Verified Support On Premise Subscription License 1 TB Capacity 3 Year delivers enterprise-grade data protection tailored for government organizations. With a robust 1 TB capacity, a three-year license horizon, and verified support, this on-premise solution combines reliability, security, and predictable budgeting. Designed to streamline software procurement for public sector bodies, it provides easy access to Veritas’ proven backup and recovery capabilities while aligning with government licensing programs. This package emphasizes continuous protection, fast restorations, and administration that meets stringent regulatory and compliance requirements, helping agencies safeguard critical data across diverse workloads.
- Comprehensive protection for government workloads: Veritas NetBackup delivers enterprise-class backup and recovery to guard essential government data against loss, corruption, and outages. The solution supports complex environments, enabling rapid restores to maintain continuity of operations in mission-critical scenarios.
- 1 TB capacity for scalable data protection: The 1 TB storage allocation is designed to accommodate substantial data sets while remaining manageable and cost-effective. It provides ample room for full backups, on-site retention, and efficient deduplication to maximize storage efficiency.
- 3-year license for budget stability: A three-year subscription reduces renewal frequency, offering predictable budgeting and long-term access to Veritas NetBackup features, updates, and improvements without intermittent procurement concerns.
- Verified Support included: The subscription comes with verified support from Veritas experts, ensuring timely assistance, proactive guidance, and a reliable safety net for backup operations and disaster recovery planning.
- Government Licensing Program (GLP) alignment: Specifically designed to meet the procurement and compliance needs of government agencies, GLP pricing and terms simplify software acquisition while supporting audit readiness and regulatory adherence.
Technical Details of Veritas NetBackup Verified Support On Premise Subscription License 1 TB Capacity 3 Year
- Product Type: On-Premise Subscription License
- Storage Capacity: 1 TB
- License Duration: 3 Years
- Target Audience: Government Organizations
- Support: Verified Support included
How to install Veritas NetBackup Verified Support On Premise Subscription License 1 TB Capacity 3 Year
- Step 1: Download the Veritas NetBackup installation package from the official Veritas site or the source provided in your purchase confirmation. Ensure you have access to the relevant license key before proceeding.
- Step 2: Run the installation wizard on your designated server. Follow the prompts to begin the deployment and select the appropriate components for your environment (media server, clients, and catalog, if applicable).
- Step 3: When prompted, enter your license key to activate the On-Premise Subscription License. Confirm all license details and proceed with configuration.
- Step 4: Configure the initial setup, including backup policies, schedules, storage targets, and retention rules tailored to your organization’s data protection requirements. Plan for both full and incremental backups as appropriate.
- Step 5: Run a test backup to verify that the system operates correctly, perform a restore to validate recovery processes, and adjust policies as needed to ensure successful protection of critical assets.
Frequently asked questions
- What is the main benefit of Veritas NetBackup for government organizations? The primary benefit is a government-tailored, secure, and compliant data protection platform that combines reliable backup and rapid restore capabilities with enterprise-grade controls and governance suitable for public sector requirements.
- How does the 3-year license impact budgeting and continuity? A 3-year license provides long-term access to NetBackup features and updates while reducing the administrative overhead of frequent renewals, enabling more stable budgeting and predictable upgrade cycles for government programs.
- What does the included Verified Support cover? Verified Support offers access to Veritas experts for guidance, troubleshooting, and proactive assistance, helping ensure backups run smoothly, backups succeed, and recovery objectives are met.
- What is the significance of the Government Licensing Program (GLP)? GLP aligns pricing, terms, and procurement processes with government purchasing practices, making it easier for agencies to acquire, budget for, and manage software while satisfying compliance and audit requirements.
- Can I scale beyond 1 TB capacity later? While the current package provides 1 TB, NetBackup supports scalable configurations. For agencies anticipating growth, you can explore upgrade paths, additional storage capacity, or expanded license terms that align with ongoing data protection needs.
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4.8 ★★★★★
Based on 10 reviews
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Product Reviews
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry.
The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff!
If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper.
As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture.
So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money.
The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence.
There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions.
The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work.
They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively.
There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning.
I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected.
The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading.
If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026
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