Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
To compete in today’s rapidly changing business environment, organizations need to capture, analyze and act on information rapidly. If they can quickly identify trends, discover patterns and generate new insights, they can address a wide array of strategic and operational goals—from increasing customer loyalty and creating targeted marketing offers to enhancing operational efficiency and reducing risk. In their report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
IBM’s new PowerLinux servers appeal to Linux buyers? Linux buyers are driven by the price advantages that Linux offers as compared with other operating environments (Linux is free open source code) Windows and Unix are chargeable licensed code). Linux buyers, therefore, look first and foremost at the total cost of acquisition of Linux based servers. Linux buyers also want rapid time to value (fast deployment); they often use decentralized procurement processes; they want their Linux servers to be simple to use and manage."
In business timing is everything, especially for business-critical applications. Delays in delivering critical data and processing can significantly increase business and financial risks. IBM’s new eBook FlashAhead discusses these challenges and offers up the all-flash storage system as a solution.
Mitigating Email Threats White Paper: Protect your content with these security measures for inbound and outbound email.
Mitigating Web Threats White Paper: Learn about web security options for on-premises, cloud, hybrid, and virtual deployments.
Most data masking products can create masked data copies but not distribute or update them, resulting in projects that fail to live up to expectations. Learn why Delphix’s Agile Masking solution is the only product that solves both masked data creation and delivery challenges.
Many organizations have invested in server consolidation, particularly in their data centers. In remote offices, though, servers and storage exist as isolated islands of infrastructure that require management through separate operational processes and procedures. This approach is costly and places data at risk. However, a new branch converged infrastructure architecture allows IT to consolidate in the branch office to minimize the IT footprint needed to run branch applications-all the while centralizing remote servers and data in the data center.
This white paper demonstrates how to increase profitability by reducing the operating costs of backup and archiving using Riverbed Whitewater and Amazon Glacier cloud storage, instead of traditional tape backup methods. A convenient checklist summarizes operational cost categories used to calculate this
ROI. These include ongoing monthly costs for media, labor, and offsite storage of backup data, and monthly costs for cloud storage of backup and archival data.
Information is becoming the currency of the 21st century, and organizations of all sizes are creating more information than ever
before. Frequently, organizations struggle with how best to balance storage requirements with available budgets. The benefits of greater storage capacity are clear: better change management and roll-back, easier archival and discovery, reliable backup and
recovery. But to continually grow on-site capacity requires unsustainable investment and introduces unnecessary risk. Prominent cloud service providers present an appealing alternative with their vast amounts of storage, offering low cost, high availability, and built-in redundancy. Riverbed’s Whitewater® family of cloud storage gateways is a drop-in replacement for existing tape- and diskbased backup targets, cuts backup costs 30-50% compared to tape and disk, and provides effective DR capability with minimal effort.
This white paper details the current challenges organizations face with respect to their evolving IT requirements, growing storage needs, and more extensive data protection requirements. It focuses on an expanding set of cloud-based storage offerings and the buying considerations of those who want to improve the data management metrics associated with data protection services such as backup and recovery. The paper also takes a closer look at the solutions offered by Riverbed Technology that allow organizations to integrate cloud-based storage withing solutions that address a growing set of data protection demands.
This paper examines various technologies and strategies that have traditionally been the basis for DR planning, as well as new methodologies that have arisen around the public cloud. For those situations where a cloud-based DR strategy makes sense, specific best practice recommendations and implementation steps are described.
Storing data in the cloud using a Whitewater™ cloud storage gateway from Riverbed Technology overcomes what is becoming a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. Whitewater eliminates concerns about data security, data transmission speeds over the Internet, and data availability, while
providing great flexibility and a favorable return on investment. Moving data to the cloud replaces the high costs of tape and disk
storage systems with a pay-as-you-go cloud storage tier. This paper makes the business case for cloud storage, outlining where
capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.
HP, a $120 billion company with five major business lines and an employee base of more than 300,000 people, faces many of the same IT challenges as other global enterprises at hyperscale: it must accommodate ever-increasing demands for business services without allowing its IT costs to spiral out of control. So the company embraced a solution from its own hardware portfolio: HP 3PAR StoreServ Storage, modern Tier-1 storage for mission-critical IT-as-a-Service (ITaaS) and cloud environments. And the benefits of implementing this storage solution have been substantial, including increased storage capacity and density, as well as more agile, responsive IT services that better meet HP’s business needs.
AgilOne is a cloud-based predictive intelligence company that is experiencing a high growth rate. The company needed to find, and quickly deploy, a scalable storage solution to support its big data performance and future scalability requirements. Today, utilizing its 3PAR StoreServ storage solutions, AgilOne boasts a lower cost per terabyte, higher efficiency, and the ability to rapidly accommodate its new customers.
Data Intensity is an enterprise cloud services provider focusing on Oracle applications. Founded in 2001, it currently has 240 employees and operates two data centers with about 1,200 virtual servers. They needed a flexible storage platform to handle growth of individual customer applications, such as Oracle ERP, with minimal downtime with low operating costs. Testing included storage systems from five different vendors to find a solution that was easy to administer and provides thin provisioning, snapshots, and rapid provisioning.
National Stock Exchange decreases latency by 50% with the help of HP 3PAR StoreServ Storage and HP ProLiant servers after evaluating storage and server solutions from several vendors to determine which could offer the best performance and availability to support the proprietary, next-generation trading platform.
The automotive environment can be particularly harsh for electrical equipment such as routers and mobile devices. Power in automotive systems is not stable and is often subject to fluctuations and noise. This paper will provide background on the problems and solutions as well as guidance for the installation of CradlePoint devices. We’ll recommend some commercially available products to help minimize the effects of the harsh automotive power environment.
Sepa cómo gestionar el riesgo hoy significa comprender más los datos: análisis de vulnerabilidad, registros de aplicaciones y bases de datos, flujos, registros de acceso y sesiones, alertas y análisis de tendencias.
Los Big Data tienen muchas respuestas, pero solo si una organización tiene la capacidad para aprovechar la creciente cantidad de información de seguridad. Al implementar una solución de SIEM para analizar estos datos, las organizaciones pueden evitar las amenazas avanzadas en tiempo real así como detectar las amenazas furtivas latentes.
With tougher regulations and continuing market volatility, financial firms are moving to active risk management with a focus on counterparty risk. Join IBM Algorithmics and IBM Platform Computing to gain insights on this trend and on technologies for enabling active "real-time" risk management.
Advanced analytics strategies yield the greatest benefits in terms of improving patient and business outcomes when applied across the entire healthcare ecosystem. But the challenge of collaborating across organizational boundaries in order to share information and insights is daunting to many stakeholders.
To get timely and trusted insights from Risk Analytics while minimizing IT risk and improving time-to-value, IBM is delivering an Application Ready Solution for Algorithmics. This integrated offering, anchored on a validated scalable high-performance clustered reference architecture, delivers the timely risk insights firms need to lower Tier 1 capital.
Research teams using next-generation sequencing (NGS) technologies face the daunting challenge of supporting compute-intensive analysis methods against petabytes of data while simultaneously keeping pace with rapidly evolving algorithmic best practices. Learn how you can benefit from the turnkey IBM Application Ready Solution for Accelrys with supporting benchmark data.
Learn how connecting a Data Loss Prevention (DLP) system to an access governance solution can enable organizations to make informed decisions within a proper access governance framework, appropriately evaluate and manage risk, and obtain maximum benefit from their chosen DLP solution.
A major shift has occurred with Identity and Access Management (IAM) in the past few years. Organizations have realized that the traditional approach to IAM doesn't work. It doesn't work because IT doesn't have the context to make the decisions around access. It's the lines of business that have the intelligence and business context to make decisions about Identity and Access Management.