BEIJING, July 22, 2014--companies are looking for innovative ways to manage as many data and data sources as possible. While technologies such as Hadoop and NoSQL provide specific ways to deal with large data problems, these technologies may introduce islands of data that can complicate data access and data analysis needed to form critical insights. In order to maximize the value of information and better handle large data, enterprises need to gradually change the data management architecture into a large data management system to seamlessly integrate various sources, all types of data, including Hadoop, relational databases, and nos ...
Oracle Global Congress, September 24, 2013-Bringing large data into the business can create opportunities for business change, but the growing number and complexity of large data can also pose challenges. With Oracle Unified information architecture, customers can easily and economically integrate Hadoop and NoSQL platforms with data warehousing and business Analytics solutions to maximize the value of large data. Although Hadoop provides an extensible foundation for large data projects, the lack of intrinsic security has been an obstacle to many enterprises adopting Hadoop. To solve this problem ...
Oracle is now announcing that it will launch the Oracle Enterprise Gateway (Oracle Enterprise Gateways), which will secure XML, Web services, and other types of data in a simple, Easy-to-use way for Oracle Enterprise gateways, while accelerating and integrating data, and select advantageous conditions such as the path to send data to help the enterprise secure the service-oriented architecture (SOA) in the client, across domain boundaries, or in a cloud environment. No SOA customers provide enhanced security performance through validation, authorization, and auditing ...
Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall Data quality (information Quality) Is the basis of the validity and accuracy of the data analysis conclusion and the most important prerequisite and guarantee. Data quality assurance (Quality Assurance) is an important part of data Warehouse architecture and an important component of ETL. ...
Data quality (Quality) is the basis of validity and accuracy of data analysis conclusion and the most important prerequisite and guarantee. Data quality assurance (Quality Assurance) is an important part of data Warehouse architecture and an important component of ETL. We usually filter dirty data through data cleansing to ensure the validity and accuracy of the underlying data, and data cleaning is usually the front link of data entry into the Data warehouse, so the data must be ...
This article elaborated the experts to Yong to the cloud service migration the most easily to occur several problems, and has provided the corresponding method prevention. Experts believe that some companies are planning to make fuller use of the increasingly mature cloud services market in 2012 to learn from the more common mistakes other companies take in migrating to cloud services such as infrastructure, Services (IaaS) and Platform Services (PaaS). Most companies make a common mistake in cloud service migration, which is not to build a corresponding ...
A news incident last week attracted media attention, with nearly 450,000 passwords from 450,000 yahoo services called ' Yahoo Voice ' hacked. The comment on the incident said that hackers mainly through SQL injection (SQL injection) technology is the hacker from the database to obtain information and then release the information of the main technology adopted. Even if the original article is modified, you can find the error if you do a check. Technology is the same, as every more in-depth discussion can find new problems. ...
In China's cloud computing infrastructure solutions provider, Lenovo Group appears to be more special, the original PC, mobile terminals, servers and other hardware-oriented manufacturers, the rapid construction of enterprise cloud services, enterprise storage line of business, and announced the acquisition of IBM System X after the establishment of Lenovo Cloud services business Group, A complete personal cloud and enterprise cloud solution is illuminated. What is the purpose of Lenovo to build the enterprise cloud business, what is the difference in its service, and through what special technology to support the needs of enterprise users? What benefits can businesses and developers get? Its future ...
Single sign-on (SSO) allows companies to implement access control policies across multiple applications in a consistent manner. In this article, the author describes the core concepts of extending SSO from Enterprise to cloud. explores several different mechanisms for implementing SSO between traditional and SaaS applications running in your datacenter. Single sign-on (SSO) is an important service that most large enterprises provide to their users (employees, partners, customers, and contractors). In an era of increasingly stringent IT security systems, the use of SSO technology makes public ...
In the big Data age, the two most popular technologies are storage and backup, including products and services. Enterprises utilize these devices and technologies to ensure that critical tasks, archiving, and data unstructured processing are completed when needed. But the problem with these technologies is that the data they keep is unhelpful. In other words: Storing data makes businesses spend money and in vain. Into the big data age, many vendors make full use of large data trends to market competitive products and services. It is said that large data is just a repackaging of data mining and business intelligence analysis, to some extent, this is true. It's also ...
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