Planning a Big Data architecture is not about understanding just what is different. It’s also about how to integrate what’s new to what you already have – from database-and-BI infrastructure to IT tools, and end user applications. This whitepaper, discusses adding Big Data capabilities to your overall information architecture, planning for adoption using an enterprise architecture perspective, and describe some key use cases. Download now.
Recent years have seen growing interest in various approaches to clouds and server virtualization. So far, most cloud use cases focus on application servers. Yet, there are many reasons user organisations also need a “database cloud” for database management systems (DBMSs), data, and data-driven applications
such as business intelligence (BI) and data warehousing (DW). Read more.
Today, forward-thinking enterprises are taking a close look at what they need and what they don’t—trimming excess spending, jettisoning processes that don’t drive revenue, and streamlining complicated operations. Enterprises that have mastered the skill of simplifying reap the benefits of better visibility into their business, a more nimble structure that reacts quickly to customers and the market, and even reduced spending. Read more.
Almost all respondents report data growth over the past year and one-third of respondents report the amount of data within their enterprises grew by 25% or more in this time period. Almost one out of ten sites now has data stores in the petabyte range. A third of respondents report the amount of data within
their enterprises grew by 25% or more over the past year. Read more.
In today’s world, corporations are generating massive amounts of data, requiring advanced techniques to protect, store and analyze this data. Database management systems have thus become an integral part of the day to day operation of a business. The purpose of this database manageability and productivity cost comparison study is to provide IT decision makers with factual information to address the rise in costs associated with managing a database platform on a day-to-day basis. Read more.
As business operations become more complex, the demand for change in IT increases, along with the associated risks that must be mitigated. Today’s IT professionals are asked to manage more information and deliver it to their users in a timely manner with ever-increasing quality of service. And in today’s economic climate, IT must also reduce budgets and derive greater value out of existing investments. Read more.
This paper provides recommendations and best practices for optimizing virtualisation infrastructures when deploying the Oracle Enterprise Cloud Infrastructure. It covers deployment of software, hardware, storage, and network components and is intended to serve as a practical guide to help IT organisations get up and running quickly while maximising the benefits of Oracle VM.
As the era of “Big Data” marches on unabated, data is coming from an ever wider range of sources, including transactional systems, mobile devices, sensors, streaming media, and social
networks. Businesses are looking for innovative ways to better leverage terabytes—and for some, petabytes—of information. Read more.
This whitepaper provides an overview of the evaluation process a Global Fortune 500 corporation completed to test the various features included in Oracle Advanced Compression Option, as well as the impact on space and performance they experienced.
The Oracle Exadata Database Machine is an easy to deploy solution for hosting the Oracle Database that delivers the highest levels of database performance available. The Exadata Database Machine is a “cloud in a box” composed of database servers, Oracle Exadata Storage Servers, an InfiniBand fabric for storage networking and all the other components required to host an Oracle Database. Read more.
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