Data Analytics Architecture

Although businesses used to rely on intuition, they can now use business intelligence and analytics to make factual decisions and answer questions such as how to design product prices, what markets the new service targets, and how to reduce risk. In this series, we will discuss the value of applying cloud computing in business intelligence and analytics. In the first part, we introduce the reason of business intelligence and analysis. In this article, we will discuss the specific value of the intelligent analysis cloud. Information and the development of information technology, as well as information on various ways to change the way we live and work. Business Intelligence and Analysis ...

Oracle OpenWorld, the first CEO of Oracle's annual Global conference earlier this year, Ellison the Oracle's commitment to the cloud market and unveiled a variety of new software, hardware and cloud business solutions at the conference. Oracle has been actively exploring cloud business in recent years, and launched the Cloud Analysis portfolio Oracle Analytics Cloud in the General Assembly, which can target cloud data, local data, traditional data and large data ...

This paper mainly introduces the ISAS5710 system for Data mart and ODS application, and takes ISAS5710 Medium system as an example, it focuses on how to install and configure the ISAS5710 system, how to design and deploy the database of User data mart and relevant analysis and application, To help you quickly learn the basics of using ISAS5710 Rapid Deployment Data mart applications. With the continuous improvement of user's business system and the increasingly fierce market competition, more and more enterprises are building data Warehouse, Data mart ...

Teradata Corporation (Teradata Corporation, NYSE: TDC) recently announced the launch of the Teradata Unified Data Environment (TERADATA, unified data Environnement) and the Unified Data Architecture (Unified). Teradata Unified Data Environment is a framework that can help enterprises to deal with all types of data and a variety of teradata systems. Tere ...

--Make it easier for users to find the information they need 1 recently suddenly wanted to write a topic class article, on how to make users more convenient and quick to find the information they need on the site, of course, can not be divorced from the theme of the blog-site data analysis, so here is mainly about how to optimize the site through the site analysis, To achieve the user's quick access to information, the first introduction is the information architecture of the website. About the information architecture, website design students are experts, I am here just to swim, according to the university reading information structure of some of the remaining memories, plus these days pro ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

The vendor of an intelligent analysis cloud must define what services, http://www.aliyun.com/zixun/aggregation/13748.html, > infrastructure and software are needed in the cloud. In some ways, deciding which software and hardware to use depends on what services are available in the cloud. This depends on non-functional requirements, such as available time, response time, or number of users. In this section, we will discuss the factors that must be considered by the supplier and what decisions must be made in order to be as detailed as possible ...

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

Large data will challenge the enterprise's storage architecture and data center infrastructure, and will trigger the ripple effect of cloud computing, data Warehouse, data mining, business intelligence and so on. In 2011, companies will use more TB (1TB=1000GB) Datasets for business intelligence and Business Analytics, and by 2020 global data usage is expected to rise 44 times-fold to 35.2ZB (1zb=10 billion TB). The challenges of large data for the vast number of data information, how the complex application of these data into the current data warehousing, business intelligence and data analysis technology ...

Microsoft recently announced the development of a open-source version of Hadoop compatible with Windows Server and Windows Azure platform. IBM announced the creation of a new storage architecture on Hadoop to run DB2 or Oracle databases as a cluster to enable applications to support high-performance Analytics, data warehousing applications, and cloud computing purposes. EMC has also launched the world's first custom, high-performance Hadoop dedicated data processing equipment--greenplum HD Data computing equipment, providing customers with the most powerful 、...