When Does Nosql Make Sense

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The origin of Oracle NoSQL database

Previously NoSQL databases were indifferent to new and emerging projects around the world, and we often heard those with ambitious trumpeter patting their chests to ensure that their new nosql applications would break all the old frames and bring new things. In reality, however, it is overblown that NoSQL is still unable to get into Wall Street, even if the trendy developers are only willing to use it for trivial matters in their lives. Because of the limitations of the table structure is too large, if you can discard these, the speed of the database can be improved quality. At this moment, ...

How to evaluate a NoSQL technician in the big Data age-products and technology

Large data age how to evaluate a NoSQL technician release time: 2012.04.16 14:34 &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Source: CSDN Author: CSDN To this day, "Big data" the advent of the era ...

Debate over big data: Will HBase dominate NoSQL?

HBase provides both scalability and the economics of sharing the same infrastructure as Hadoop, but does its flaws rip off its hind legs?   The NoSQL expert laid out the debate frame. HBase is part of the world's most popular large data-processing platform, Apache Hadoop, modeled after Google BigTable.   But can this lineage guarantee hbase a dominant role in the competitive and fast-growing NoSQL database market? Michael of the MAPR company.

The big Data age is a belief in data science or the sense of leadership.

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Even if companies have the ability to develop large data (and most do not), they tend to use untested ideas rather than using data science to make decisions. Guy Cuthbert, general manager of Atheon Analytics, a visual analysis firm, believes that even ...

Large data requires comprehensive, integrated, and open solutions

The author is the broad application prospect of Soath, vice president of Oracle Company and technical general manager of Greater China. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Gartner releases "Big Data drives Rapid Changes in infrastructure and $232 billion in IT spending 2016" ("rapid change in the large database-driven infrastructure ...").

Oracle Sishing: Large data solutions need to be fully integrated and open

"Tenkine Server channel April 23" The Big data application of the vast number has been beyond doubt. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Large data drives Rapid Changes in infrastructure and $232 billion 2016, Gartner ("rapid change in the big-drive infrastructure", 2 016 Years ...

Large data requires comprehensive, integrated, and open solutions

The author is the broad application prospect of Soath, vice president of Oracle Company and technical general manager of Greater China. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Gartner releases "Big Data drives Rapid Changes in infrastructure and $232 billion in IT spending 2016" ("rapid change in the large database-driven infrastructure ...").

Facebook is far from SNS

With Facebook on the market, and with more public opinion and attention once again on this world-class social network, Facebook is on fire. One of the interesting things about this is that Facebook has long been used as a SNS concept by the Internet, but when it comes to the market, it becomes a big data concept in the eyes of investors. In fact, it's too one-sided to say that Facebook is SNS. Citic Securities with the "Facebook listing leading the internet into the era of large data", advising investors to borrow Facebook's potential, not cast renren ...

How to use large data for value cashing is a serious matter

If one day you can predict the future, what is the first thing you want to do? Buy a lottery ticket? What's the second and third thing? We'll talk about it later. Large data is an industry, in the broad sense is in this information overload era around the mass of information generation, dissemination, collection, processing, create value of the entire product chain, in the narrow sense generally refers to large data storage and processing, data mining related industries. At present, the most common use of large data in the market is analysis and prediction. According to my 10 years of experience in this industry, large data and the previous two years of cloud computing, and then ...

How to use large data for value cashing is a serious matter

If one day you can predict the future, what is the first thing you want to do? Buy a lottery ticket? What's the second and third thing? We'll talk about it later. Large data is an industry, in the broad sense is in this information overload era around the mass of information generation, dissemination, collection, processing, create value of the entire product chain, in the narrow sense generally refers to large data storage and processing, data mining related industries. At present, the most common use of large data in the market is analysis and prediction. According to my 10 years of experience in this industry, large data and the previous two years of cloud computing, and then ...

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