Tag: enterprise data management

Dealing with Portfolio Management Process (Steps)

Executives go through various processes to determine which projects to fund internally and which opportunities to engage in externally. For instance, a high-technology company may develop a new product or build a new facility internally, and may provide installation services externally.

Primavera Project and Portfolio Management
Project and Portfolio Management

 

Once these decisions are made, managing the execution by tracking the schedule, costs, resources, and milestones is critical to ensure project success. Many managers have the additional complexity of overseeing a supply chain to ensure that equipment, material, and resources are available on time at the point of need and use. The question is, how to integrate project management process and portfolio management process in order to manage projects profitably— and ensure business value? Managing visibility in three important areas of your portfolio and project management processes will help ensure success:

Portfolio Prioritization Model

Are you working on the most-profitable projects? Leaders of best-in-class companies can prioritize projects based on a set of predefined criteria—such as revenue, return on investment, importance to future strategic needs, alignment to core business, and risks. For external projects, that may mean ranking each by priority to help determine the proper pricing schedule for the work. For internal projects, priority ranking can determine whether it makes sense to fund the project and the appropriate resources to commit to the work. Comprehensive portfolio management tools can help prioritize and align the project portfolio to ensure that limited resources are deployed for maximum impact.

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Data Integration Solutions with Enterprise Manager Ops Center 11g

Data integration (Wikipedia definition) involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains.

Data Integration Solutions OracleIT executives looking for ways to simplify hardware management in virtualized, traditional, and cloud-based datacenter environments can benefit from the new Data Integration Solutions in Oracle Enterprise Manager Ops Center 11g, the industry’s first converged hardware management solution for Oracle’s Sun environments.
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Hardware Management with Oracle Enterprise Manager

Oracle Enterprise Manager Ops Center 11 g simplifies hardware management in Oracle’s Sun environments and reduces costs by as much as 90 percent.

Oracle has streamlined systems and virtualization management with the release of Oracle Enterprise Manager Ops Center llg, a solution for managing systems across traditional, virtualized, and cloud-based datacenter environments. Through a converged hardware management approach, the new release simplifies management tasks for all infrastructure assets. It delivers infrastructure and lifecycle management, as well as integrated support. And while Oracle Enterprise Manager Ops Center 11g works as a standalone console, when combined with Oracle Enterprise Manager 11g it delivers complete applications-to-disk management.

Oracle Enterprise Manager

Oracle Enterprise Manager Ops Center 11g gives organizations the capability to maximize the value of their investments in Oracle’s Sun systems by managing across Sun virtual machines, operating systems, firmware, servers, dusters, storage, and network fabrics. (Management of storage devices, network switches, and clusters is new in this release.) Oracle Enterprise Manager Ops Center 11g further simplifies IT operations by supporting management across heterogeneous operating system environments, including Oracle Solaris, Oracle Linux, Red Hat Linux, and SUSE Linux. It also manages Oracle’s engineered systems, Oracle Exadata and Oracle Exalogic Elastic Cloud. Continue reading Hardware Management with Oracle Enterprise Manager

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Oracle VM Server for SPARC 2.0

Oracle VM Server for SPARC 2.0, a server virtualization solution, is now preinstalled on Oracle’s SPARC T-Series servers. Oracle VM Server for SPARC 2. 0 (previously called Logical Domains) allows as many as 128 virtual servers on one system by taking advantage of the massive thread scale offered by SPARC T-Series servers, including the new SPARC T3 servers, enabling organizations to benefit from increased flexibility and improved server utilization.

Oracle VM Server for SPARC 2.0 includes performance, resource management, flexibility, power management, and availability enhancements. It can support highly sophisticated enterprise workloads, including Oracle Real Application Clusters environments. With Oracle VM Server for SPARC, organizations can run multiple separate operating system environments, including both Oracle Solaris 10 and Oracle Solaris 11 Express, on SPARC T-Series servers. This allows rapid consolidation of separate kernel environments with sharing and dynamic reallocation of CPU, network, storage, and other resources.

“With advanced performance, management, and availability features, Oracle VM Server for SPARC 2.0 delivers unrivaled enterprise-class virtualization capabilities,” says Wim C., senior vice president of Linux and virtualization engineering at Oracle. “What’s more, it clearly demonstrates that Oracle is committed to continuing its investment in Oracle Solaris and SPARC and offering fully optimized and integrated solutions to our customers.”

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Report: Cost/Benefit of Enterprise Warehouse Solutions

In-depth Comparison of IBM Smart Analytics System 7700,
Teradata Active Enterprise Data Warehouse and
Oracle Exadata Database Machine.

Data warehousing has emerged as one of the IT world’s fastest growth areas. New deployments continue to accelerate, and numbers of applications and users within organizations continue to expand. Demand for high-quality, current information and for tools to interpret and exploit it shows no signs of abating. High
double-digit growth in data volumes has become the norm.

The business benefits of data warehouse applications are clearly recognized. But, increasingly, users are faced with escalating expenditure not only on data warehouse solutions, but also on underlying platforms. At a time of budgetary pressures, questions are raised about the most cost-effective means of realizing
information value.

This is particularly the case for special-purpose platforms offered by IBM (Smart Analytics System, Netezza TwinFin), Oracle (Exadata Database Machine), Teradata (Active Enterprise Data Warehouse) and smaller players. Architectures and technologies of these systems are often unfamiliar to organizations that deploy them. Techniques for measuring comparative performance and cost are rudimentary.

Challenges are compounded by several factors. One is that the performance of different architectures depends on the workloads they execute. Another is that data warehouse usage tends to evolve rapidly – organizations that deploy platforms for specific applications may soon find that they must deal with significantly different environments. A third is that vendor pricing may vary widely between customers.

This report sets some parameters for comparisons. To do this, it takes into account types of workload – in particular, a key distinction is drawn between complex mixed workloads and queries involving large sequential table scans – compares overall three-year as well as acquisition costs, and bases platform calculation on “street” pricing (i.e., discounted prices paid by users).

The report focuses on three platforms: IBM Smart Analytics System 7700, Oracle Exadata Database Machine and Teradata’s flagship Active Enterprise Data Warehouse (Active EDW) 6650. Results are based on input from 46 users of these systems and their recent predecessors, on other industry sources, as well as on research and analysis conducted by the International Technology Group (ITG).

Two sets of cost comparisons, based on performance and user data, are presented.

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Oracle Big Data Appliance

The creation of data has always been part of the impact of information and communications technology. As the amount of data available for analysis continues to grow, the challenge is for organizations to find the technology that would give them the ability to disseminate, understand and ultimately benefit from the increasing volumes of data. Oracle has recently announced the release of what they consider a viable solution to handle the challenge of Big data. The Oracle Big Data Appliance consists of optimized hardware and several software products from Oracle Corporation .The Oracle Big Data Appliance in union with Oracle Exadata Database Machine and the Oracle Exalytics Business Intelligence Machine (Oracle Exalogic) is used for obtaining, consolidating and loading unstructured data into the Oracle Database 11g. The solution consists of an open source distribution of Apache Hadoop, Oracle NoSQL Database, Oracle Data Integrator with Application Adapter for Hadoop, Oracle Loader for Hadoop, an open source distribution of R, Oracle Linux, and Oracle Java Hotspot Virtual Machine.

Oracle announced the Oracle Big Data Appliance Mon, October 3 at Oracle OpenWorld 2011.

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Develop Your Strategy and Roadmap for Cloud Computing

The cost and speed advantages of cloud computing are clear and compelling. But how do you actually move to cloud computing? To discover practical approaches to building your cloud foundation, join us for our four-part webcast series.

Cloud experts will share real-world best practices, reference architectures, detailed customer case studies, and more. You will learn how to transform your IT into a superior service provider with a strategy and roadmap for building, deploying, and managing your enterprise cloud.

Attend the webcast series to learn how to:

Build a state-of-the-art cloud architecture
Leverage your existing IT investments
Optimize your IT management processes
Whether you are considering a move to cloud computing or have already adopted a cloud model, the cloud computing webcast series offers you the insights you need to take full advantage of cloud computing.
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Oracle Enterprise Manager 12c Cloud Control

This self-study and classroom series covers the enterprise-ready framework, database and configuration management, provisioning and patching, and more.

Oracle Enterprise Manager Cloud Control 12c Self-Study training is aimed specifically at administrators who are familiar with the current releases of Enterprise Manager. It is designed to bring existing users up to speed on the new features of Oracle Enterprise Manager Cloud Control 12c

Oracle has played a leading role in enabling a more agile and efficient enterprise IT environment with pioneering work in the area of grid computing. As enterprises get ready to take advantage of the cloud computing paradigm, Oracle’s platform and enterprise data management technologies not only support but also enable that evolution. Oracle Enterprise Manager provides a very rich and scalable management framework providing a unified view of the enterprise cloud. Through Oracle University, students can benefit by learning about Oracle Enterprise Manager Cloud Control 12c which is Oracle’s flagship product to address the broad IT requirements for managing the entire Oracle environment.

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Oracle BI 11g Webcast

This Oracle University Webcast takes you on a tour of the new Oracle Business Intelligence Enterprise Edition 11g (Oracle BI 11g) features.

Oracle’s latest version of its flagship business intelligence software – OBI EE 11g – introduces many new concepts and major enhancements. In this one-hour recorded seminar, we will take a tour of the most important viewpoints and learn about new features.

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