Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Published By: Datastax
Published Date: Sep 27, 2019
In this white paper, you’ll learn about the three most important issues surrounding data management in the age of IoT. You'll also learn how DataStax Enterprise, built on Apache Cassandra™ and native to hybrid cloud environments, is paving the way for the future of data management. Download the white paper to learn more now.
In January 2016, the Federal Risk and Authorization Management Program released a draft of its high-impact baseline for moving federal data to the cloud. Not long after, Amazon Web Services (AWS) accepted an offer to pilot the new security threshold. AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around. Over 2,300 government agencies worldwide have already migrated to the AWS Cloud. And in the U.S., this will only increase with the release of FedRAMP’s high baseline standards. Previously, CSPs could only become certified at a low or moderate baseline under FedRAMP, meaning agencies had no security baseline from which to spring their sensitive data into the cloud. These new standards effectively represent the fall of the final formal barrier to federal cloud computing. Terabytes o
Informatica is a leader in Enterprise Cloud Data
Management, providing solutions that help
organizations optimize, transform, and analyze
their data. Informatica’s Intelligent Data Platform
is built on a microservices architecture, helping
organizations ensure their data is trusted, secure,
governed, accessible, timely, relevant, and
actionable on-premises or on the cloud.
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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: Company Name
Published Date: May 04, 2016
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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
processor
? Software in Silicon which offers hardware-based features such as data acceleration
and security
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
