Data Analytics Framework

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 ...

Cady Wang (Wang Nanan) you want to know big data, but don't know the jerky terminology? Do you want to know the market and application of large data, but there are no good cases and explanations? 　　Don't worry, this little book from the Wikibon community wants to help you. 　　Yes, this is a small book rather than an article, because it is detailed and meticulous to let you from a completely do not understand the large data technology and related applications of the layman to become a familiar with its concept and meaning of the "inner pedestrian", so it is great! Translator Cady Wang Nanan spent a lot of effort to translate this small book, insufficient ...

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.

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 ...

How can businesses address security threats? Look at the updated NIST network security framework. The NIST Cybersecurity Framework is a guide issued by the National Institute of Standards and Technology to guide organizations and organizations in securing information. The framework was first enacted in February 2014 and added to this year's 1.1 new release. The earliest application of the framework in the United States national infrastructure facilities, such as power agencies and so on. Because it provides a versatile guide, it adapts to and adapts to the needs of different organizations and is now widely used in the United States and around the world. The ...

Since its inception, http://www.aliyun.com/zixun/aggregation/1560.html ">facebook has been the target of cyber attacks." They actively defend against malware and prevent fraud, and their efforts in this area are often in the newspapers.　　It is fair to say, however, that the real threat to Facebook is even more severe. When faced with a threat, knowledge is power. Many enterprises are aware of the importance of threat analysis and security analysis, they can not only help ...

LinkedIn Business Analytics How to use large data to realize business value Wu Jiye--linkedin data and technology architecture--three case studies LinkedIn Business Analytics How to use large data to realize business value

"IT168 Information" March 12, 2013, IBM held 2013 large data press conferences in Beijing, fully demonstrating its unparalleled industry advantages in large data areas: from the industry's unique large data platform to the world's top large data analysis technology, from large data strategies to large data landing solutions, From a large data strategy for the enterprise consulting to IBM in the global and Chinese markets in different industries, large data practices, ...

The big data field has boomed in recent years. As a segment of big data, education big data has great potential to promote educational change. Big data technology is rapidly evolving, which opens up new possibilities for big data applications.

Tencent has always regarded big data application as an important development strategy of the company, and based on more than ten years of experience in Internet product development and operation, it has formed a complete, reliable and scalable big data business application framework to provide users with big data processing service.