If you’re a small-to-midsized business (SMB), you know that you’re operating in a fast-paced, ever-changing business environment. Customers want their demands met instantly, and increasing competition multiplies the pressure you’re under. If you can’t deliver, you can be sure somebody else will.
Fortunately, the technology landscape is changing the way you do business. Mobility, social media, and Big Data are leveling the playing field and making it possible for companies like yours to access more sophisticated technology, reach bigger audiences, target their messages, and innovate in their offerings. Yet nothing has changed the landscape so much as the cloud.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations?
Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
Increased access to data and more channels of communication have given citizens renewed civic power. Public-sector agencies must be just as responsive as any other enterprise with which citizens interact. If you’re an optimist, imagining the results of a hyperconnected citizenry is exciting. As long as government is responsive, greater citizen involvement could help reduce problems that plague modern society, including poverty, disenfranchisement and even crime.
One of the few places that pervasive Wi-Fi is not found these days is in US Federal Government office buildings and military bases. Government IT departments explain this lack of modern technology by pointing to Information Assurance (IA) departments who block their planned deployments because of security concerns. IA departments, on the other hand, point to unclear rules, regulations, and policies around Wi-Fi use which prevent them from making informed risk decisions.
It seems strange to think that just a few years ago, the IT department was considered a supplier to the organization. Today, IT leaders are at the forefront of their companies’ march into the digital age. Technology is now recognized as a key enabler for achieving strategic business goals, including revenue growth, market expansion, and customer satisfaction; and IT leaders have risen to the challenge of simultaneously running the organization while identifying and leveraging innovative solutions that can drive growth.
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.
As businesses plunge into the digital future, no asset will have a greater impact on success than data. The ability to collect, harness, analyze, protect, and manage data will determine which businesses disrupt their industries, and which are disrupted; which businesses thrive, and which disappear. But traditional storage solutions are not designed to optimally handle such a critical business asset. Instead, businesses need to adopt an all-flash data center.
In their new role as strategic business enablers, IT leaders have the responsibility to ensure that their businesses are protected, by investing in flexible, future-proof flash storage solutions. The right flash solution can deliver on critical business needs for agility, rapid growth, speed-to-market, data protection, application performance, and cost-effectiveness—while minimizing the maintenance and administration burden.
Over the past several years, the IT industry has seen solid-state (or flash) technology evolve at a record pace. Early on, the high cost and relative newness of flash meant that it was mainly relegated to accelerating niche workloads. More recently, however, flash storage has “gone mainstream” thanks to maturing media technology. Lower media cost has resulted from memory innovations that have enabled greater density and new architectures such as 3D NAND. Simultaneously, flash vendors have refined how to exploit flash storage’s idiosyncrasies—for example, they can extend the flash media lifespan through data reduction and other technique
Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home
directories, and file sharing simultaneously. They also need to co-locate multiple systems while sharing power and energy. This is true for large as
well as small environments. The trend in modern IT is to consolidate as much as possible to minimize cost and maximize efficiency of data
centers and branch offices. HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file,
and object access to help consolidate diverse workloads efficiently. HPE 3PAR OS and converged controllers incorporate multiprotocol support
into the heart of the system architecture
Modern storage arrays can’t compete on price without a range of data reduction
technologies that help reduce the overall total cost of ownership of external
storage. Unfortunately, there is no one single data reduction technology that fits
all data types and we see savings being made with both data deduplication and
compression, depending on the workload. Typically, OLTP-type data (databases)
work well with compression and can achieve between 2:1 and 3:1 reduction,
depending on the data itself. Deduplication works well with large volumes of
repeated data like virtual machines or virtual desktops, where many instances or
images are based off a similar “gold” master.
Within the next 12 months, solid-state arrays will improve in performance by a factor of 10, and double in density and cost-effectiveness, therefore changing the dynamics of the storage market. This Magic Quadrant will help IT leaders better understand SSA vendors' positioning in the market.
Business users expect immediate access to data, all the
time and without interruption. But reality does not always
meet expectations. IT leaders must constantly perform
intricate forensic work to unravel the maze of issues that
impact data delivery to applications. This performance
gap between the data and the application creates a
bottleneck that impacts productivity and ultimately
damages a business’ ability to operate effectively.
We term this the “app-data gap.”
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow.
Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use.
Multicloud Storage for Dummies consists of five short chapters that explore the following:
- How the multicloud storage model aligns with modern business and IT initiatives
- Common barriers to cloud adoption and how a multicloud storage model addresses them
- How to build a multicloud data center
- What to look for in multicloud storage services
- Real-world multicloud use cases
"Enterprises depend on data to improve customer interaction, accelerate product development and run the back office.
?Is infrastructure complexity holding your applications back? ?
Do your applications have instant access to data?"
The next wave of cloud storage innovation is upon us. It’s called multicloud. With multicloud storage you can combine cloud simplicity with enterprise-grade reliability, provide data mobility among multiple cloud types, and eliminate vendor lock-in. And it’s available right now through the Nimble Cloud Volumes service.
In our latest survey report, we explore the growth challenges facing businesses and HR leaders in a rapidly changing landscape.
We surveyed over 500 HR leaders in leading organizations to explore their views around these challenges, and to find out how they are supporting people and leveraging people data to help them achieve their growth goals.
Read our report to learn more and discover what you can do to become a People Company.
Do you know your people as well as you know your customers? Your people’s expectations and the way they work are changing. Employees are more diverse, mobile and technologically savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything from attracting and keeping the best talent to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions. Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people better and