Big data needs both high availability and protection.
The amount of data created and replicated globally is predicted to increase ten-fold by 2025, according to IDC research. You may be wondering where to store that big data, as well as how to ensure your data is highly available and protected.
In this eBook, explore why cloud-based disaster recovery (DR) improves data availability, eases the processes associated with DR management, and creates a more economically efficient solution for today’s data-driven companies.
As the use of cloud solutions in government increases, both business and IT leaders are recognizing that the safety and success of their business depend on finding ways to take full advantage of cloud innovation while ensuring consistent service levels, data management and privacy, and user experiences. Hybrid IT management includes aligning the organization around service levels, cost control, security, and IT-enabled innovation.
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
Too often we hear that people want to move everything to the cloud. Unfortunately cloud is not the easy button, and it will not fix
every problem that you have with IT today. We have seen a large number of customers who do the math after moving to the cloud only to realize that it was more expensive to run in an offsite cloud than onsite IT. These customers then move away from offsite cloud for workloads that never should have left the building. The cloud in its many varieties is a good tool that can help organizations, but it needs to be thought out. This document is intended to help you move the right workloads to the right clouds in the best way possible and avoid the yoyo effect of moving twice and paying for the privilege of the experience.
Security is a looming issue for organizations. The threat landscape is increasing, and attacks are becoming more sophisticated. Emerging technologies like IoT, mobility, and hybrid IT environments now open new organization opportunity, but they also introduce new risk. Protecting servers at the software level is no longer enough. Organizations need to reach down into the physical system level to stay ahead of threats. With today’s increasing regulatory landscape, compliance is more critical for both increasing security and reducing the cost of compliance failures. With these pieces being so critical, it is important to bring new levels of hardware protection and drive security all the way down to the supply chain level. Hewlett Packard Enterprise (HPE) has a strategy to deliver this through its unique server firmware protection, detection, and recovery capabilities, as well as its HPE Security Assurance.
This white paper shows how Microsoft and Cisco have come together and developed a best-of-breed private cloud ecosystem that combines Cisco’s compute and network expertise with Microsoft’s single operating system, data management, and virtualisation capabilities.
Published By: Commvault
Published Date: Jul 06, 2016
Data conversations continue to change as all businesses are trying to figure out today's reality of the move to the cloud, anywhere/anytime computing, and the explosive growth of data. These trends have drastically reshaped the IT industry and data management forever. With continued market innovations in storage, cloud, and hyper-converged infrastructures, there are six key modern IT needs that are increasingly the focus of CIO and technology leaders.
Learn why Gartner believes that more than 70% of new DBMS deployments will leverage the cloud for at least one use case by 2018. Find out how to assess modern data management capabilities and determine which DBMS best meets your business requirements.
Published By: Oracle CX
Published Date: Oct 20, 2017
This whitepaper explores the new SPARC S7 server features and then compares this
offering to a similar x86 offering.
The key characteristics of the SPARC S7 to be highlighted are:
? Designed for scale-out and cloud infrastructures
? SPARC S7 processor with greater core performance than the latest Intel Xeon E5
? Software in Silicon which offers hardware-based features such as data acceleration
The SPARC S7 is then compared to a similar x86 solution from three different
perspectives, namely performance, risk and cost.
Performance matters as business markets are
driving IT to provide an environment that:
? Continuously provides real-time results.
? Processes more complex workload stacks.
? Optimizes usage of per-core software licenses.
Risk matters today and into the foreseeable future,
as challenges to secure systems and data are
becoming more frequent and invasive from within
and from outside. Oracle SPARC systems approach
risk management from multiple perspectiv
In this executive Q&A, Cloud Luminary and DonorsChoose.org CTO Oliver Hurst-Hiller discusses the importance of being able to seamlessly and quickly switch to a cloud service, the benefits of having all aspects of your company moved to the cloud, and more.