Oracle Predictive Analytics

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Oracle launches cloud Large data analysis tool Analytics Cloud

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 ...

Oracle Big Data Solutions - Ideal for future businesses

Over the past few years, with the transactional IT to interactive IT transition, corporate data began to show an explosive growth. Due to the rise of social media, the massive applications of digital sensors and the popularization of mobile devices have directly led to the rapid emergence of various large amounts of big data. This kind of multi-structured data market value is not high, but the huge amount of data contains a hidden huge wealth. Thus, how to effectively manage big data has become a topic of concern to the industry. According to 2011 Unisphe ...

Meet large data analysis Oracle releases new Exalytics

Oracle has released Oracle exalytics Business Intelligence Cloud Server T5-8 (Oracle Exalytics as Machine t5-8), which is an integrated system in Oracle SPARC T5-8 on the basis of the server has made significant breakthrough progress.   Each system's memory is 4TB, can give business intelligence and enterprise performance management application software extremely high performance. Paul Rodwick, vice president of Oracle Product Management, said, "only that ...

Oracle Large Data machine using Oracle Audit Vault and Database firewall

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 ...

Translating large data into large value practical strategies

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Everything in the big data

What's the big data? Why use large data? What are the popular tools for big data? This article will answer for you. See the original: Get the Complete Story with large data analytics Author: Kayden Kelly Now, Big data is an abused buzzword, but its real value even a small business can achieve. By consolidating data from different sources, such as web analytics, social data, users, and local data, large data can help you understand the overall situation. Large Data Analysis ...

Data for the King: the status, hotspots and trends of business intelligence

Business Intelligence (bi,business FDI) can be traced back to 1958, when IBM researcher Hans Peter Luhn first presented the concept of business intelligence in an IBM magazine article. But until the 1980 's, Decision Support System (DSS) began to become popular, the 1990 's business intelligence has become popular, the industry uses business intelligence to collectively refer to the following areas of software innovation: including performance management, planning, reporting, query, analysis, online analysis processing, operational system integration, predictive analysis ...

Networked cars, BI and Hadoop

Ford Motor Company has been walking in front of the mobile car. The carmaker is trying to build the most intelligent networked cars and bring them to a whole new level of mobility. "How do we transplant our customers experience from mobile devices to our cars?" "Jim Buczkowski, director of the Electronics and electrical systems at Ford Motor Company, conducted a keynote speech at the Xconomy Forum Symposium," The Mobile boom: the theme of innovation in the 2014. "Advertisement will combine these two mobile experiences to ...

How to occupy the traditional newspaper industry in the big data age?

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

Microsoft needs apps to win cloud computing

Recently, Microsoft announced that the Online Services department responsible for research and development of senior Vice President Satya Nadella will replace Bob Muglia, as Server and Tool department president. Nadella is a respected technology leader who has made a great exploits for Microsoft's return to search. It is worth mentioning that he was in charge of Microsoft's Business Solutions division, which includes enterprise software, before he was the head of Bing products. In addition, Microsoft announced that another executive Amitabh Srivastavam left the server and tools ...

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