What Are The Analytical Functions In Oracle

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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 as leader in CRM Channel marketing activities Management

BEIJING, July 18, 2012--gartner Company in its 2012 "http://www.aliyun.com/zixun/aggregation/8856.html" > Customer Relationship Management (CRM) multi-channel marketing activities Management Magic Quadrant .” (1) In the report, Oracle Siebel CRM is rated as leader. The Gartner Magic Quadrant is in a specific market segment, based on the manufacturer's complete vision and vision implementation, to the supplier ...

7 Big Data programs to reshape the healthcare industry

Skepticism is a double-edged sword. Without skepticism, IT managers might invest in software that is useless. Enough scepticism can allow IT departments to wait for enough evidence to prove that a particular platform can deliver good results. Data analysis of medical industry reaching critical mass data analysis has now reached a tipping point for the medical profession. Some vendors promise to provide better quality of care while reducing spending, but there is evidence that these claims are controversial. Similarly, critics of the big data movement point out that the healthcare industry is running ...

Cloud Computing CRM Market 7 major manufacturers which one do you prefer?

Salesforce.com, Oracle, Microsoft, SAP and many other vendors are providing cloud CRM (Customer relationship Management) services. The hype around cloud computing is ubiquitous, and presumably everyone has heard of cloud computing. Salesforce.com, Oracle, Microsoft, SAP and many other vendors are providing cloud CRM (Customer relationship Management) services. The hype around cloud computing is ubiquitous, and presumably everyone has heard of cloud computing. The Forrester research firm predicts that by 2020, the value of the global platform, the Services (PaaS) market, will grow to nearly 12 billion.

Cloud computing CRM Big Seven giants who do you choose?

Salesforce.com, Oracle, Microsoft, SAP and many other vendors are providing cloud CRM (Customer relationship Management) services. The hype around cloud computing is ubiquitous, and presumably everyone has heard of cloud computing. The Forrester research firm predicts that the global platform, the Services (PaaS) market, will grow to nearly 12 billion dollars by 2020. With a gold rush at the moment, it is almost impossible to list every vendor who rushes into the cloud CRM domain, so this article looks at the biggest vendors and introduces several vendors that deserve attention. ...

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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 ...

Ten most useful cloud databases

As the amount of data contained in business transactions continues to increase, service providers are looking for ways to make data management for the public cloud easier. Big data is becoming more and more important, and cloud service providers want to get involved in the Enterprise database field. Research institute IDC predicts that large data will increase at a rate of 60% a year, with structured and unstructured data. Enterprises need to find ways to play the role of these data, and for a long time the database is a very good solution. Today, service providers are using cloud technology to introduce more ways to host these databases in a public cloud, from cumbersome ...

Big Data hits the top ten most useful cloud databases

As the amount of data contained in business transactions continues to increase, service providers are looking for ways to make data management for the public cloud easier.   Big data is becoming more and more important, and cloud service providers want to get involved in the Enterprise database field. Research institute IDC predicts that large data will increase at a rate of 60% a year, with structured and unstructured data. Enterprises need to find ways to play the role of these data, and for a long time the database is a very good solution. At present, service providers are introducing more ways to host these databases in public cloud through cloud technology, which will make users ...

Double 11 Data Operation Platform Order Feed Data Torrent Real-Time Analysis Solution

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

Large data processing technology----R analysis of the system PA

With large data being adopted by more enterprises, the compilation and production language of data processing and analysis algorithms have been widely concerned. and unknowingly, open source statistics language R has become a basic technology for large data scientists and developers.   In all programming languages and techniques, popularity has soared. The following is the translation through the integration with the large data processing tools, R provides the depth statistical capability of large datasets, including statistical analysis and data-driven visualization. In industries such as finance, pharmaceuticals, media, and sales, which can directly take decisions from data, R has been applied in depth. ...

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