Business executives are challenging their IT staffs to convert costly data centres into producers of business value. Only with higher visibility, more control and improved automation of reporting systems can help deliver on this commitment. Holistic management capabilities available today can enable data centre professionals to maximize their capacity to control their energy costs and to advise the business on how to utilize IT assets more effectively. This paper demonstrates how data centre infrastructure management (DCIM) software tools can simplify operational processes, cut costs, and speed up information delivery.
The list of terms used to describe data centres is extensive and only serves to create confusion due to the vagueness of their true definition. Find out how a prefabricated modular data centre should be defined and learn about the framework that distinguishes 3 types of different prefabricated modular data centre.
Following the Big Data explosion, organizations are left grappling with how best to retain, access, discover and ultimately delete content in compliance with evolving regulations. Legal teams are now tasked with making accommodations for Big Data in the already expensive eDiscovery process. All this data can be a huge asset, but without a modern management strategy, it can also be a huge liability. This white paper demonstrates why an holistic approach to information management means big benefits in cost reduction and risk management for legal and compliance teams.
The database you pick for your next application matters now more than ever. Thankfully, you don’t have to pick just one. Today’s applications are expected to run non-stop and must efficiently manage continuously growing amounts of multistructured data in order to do so. This has caused NoSQL to grow from a buzzword to a serious consideration for every database, from small shops to the enterprise
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organisations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
This webcast explores how All-Flash enterprise storage compares to traditional disk-centric arrays. Learn how to best leverage Flash so databases thrive and limitations of I/O disappear, while exploring the pitfalls and peculiarities of Flash, and how to optimise its performance as a storage solution to ensure reliance, predictability and cost savings for a variety of enterprise workloads.
Latency is the life-blood of any database application. When transactions slow, it is often a direct result of disk contention at the storage layer driving-up storage I/O latency, which directly translates into slower transactions and a slower end-user experience. Moving to an all-flash architecture for your database affords immediate and obvious performance benefits, but also introduces a whole host of operational benefits: - Simplify operations - Eliminate tuning - Provide a price point that is less expensive than disk based and even hybrid systems
To support its team of 300 physicians and 20 offsite facilities, the technical staff of Riverview Hospital in Noblesville, Indiana, require a performance-focused infrastructure for its electronic health records. The speed at which doctors can retrieve patient data is determined by the response times of this server and the performance of its database. In this casestudy, we look at how its caregivers can spend more time with their patients rather than an application.
Challenges - Server consolidation stalled due to storage performance limits - IO-intensive Oracle database would not consolidate with other applications - Multiple instances of virtual applications plus the Oracle DB Results - Consolidated 30 servers to 5 - 23% increase in Oracle performance after virtualization - 6.7-to-1 data reduction - Provisioning time reduced by 4x - 2x increase in VMware snapshot release time