Iot Nosql

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35 open source tools help IOT

If you've been hitting the IT industry for some reason in recent years, then you've probably heard the word "Internet of Things." According to Gartner, although people are very much interested in the Internet of Things, but for the substantive development of the Internet of Things is not large. The number of devices connected to the network in 2009 was less than 1 billion, but Gartner predicts 26 billion devices will be connected to the network by 2020, generating $ 300 billion in revenue for manufacturers and service providers. all...

Cloud Computing Week Jevin review: A document database of NoSQL database technology characteristics

The document database of NoSQL database technical characteristics Today's cloud computing practitioners are not unfamiliar with the term nosql, though many technicians have long been working on relational databases, but now they are looking forward to nosql technology. The transition from relational to NoSQL databases is definitely a big change to be considered for businesses. This involves not only the changes in software, but also the conceptual changes in data storage. Most non-relational databases have fast and scalable features. By discarding relational storage models and schemas, relationships ...

2014 Cloud Data Security Tips Overview

Cloud computing is now the darling of the IT world, but security concerns remain the reason why companies have been slow to adopt.   These top security tips can help the IT team warm up quickly and become familiar with the technology. No one denies the benefits of cloud computing, flexibility, scalability and pay-for-use, but many are still debating whether it can provide a sufficiently secure environment for sensitive data. Cloud data security is a hot topic in the IT world; some people believe that the cloud is safer than the local environment, but the other side holds the opposite view. Given the complexity of the cloud, this security debate is not ...

Data analysis platform architecture under large data

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

What does the developer need for the internet of things?

"Editor's note" is considered to be the next tuyere in the field of Internet of things, bringing together a large number of hardware and software manufacturers to join the competition, Cisco, Dell, IBM, At&t, Verizon, Oracle, Intel and even GE are all in the layout, they or the introduction of their own things networking system, or collaborate to form alliances that want their systems to be standard, but what do they need as developers? Nowadays, there are many companies interested in the Internet of things, although the internet market is very confusing, but today's technology giants are racing to ...

2014 Big data will have 12 trends: Hadoop and R language lead

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...

2014 12 Predictions of large data

"Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers.   More and more companies are embracing large data technologies and introducing large data applications into production environments.   So how will the big data for 2014 be developed? Here are 12 predictions that big figures could draw next year. People no longer talk about ...

2014 Big data will have 12 trends: Hadoop and R language lead

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...

The challenge of massive data: platform architecture for data analysis

The author of this article, Shesu is Admaster data mining director, Cloud computing practitioners, 10 data warehousing and data mining consulting experience, is focused on the distributed platform of mass data mining and machine learning. The following is the full text of the article: with the Internet, mobile Internet and the development of things, no one can deny that we have effectively ushered in a massive data era, IDC, a data-research firm, expects 2011 data to reach 1.8 trillion GB, and the analysis of these massive data has become a very important and urgent requirement. As an Internet number ...

Large data movement: data and CEP go hand in hand

At the heart of today's critical analysis progress is large data, which is seen as a collection of structured and unstructured data, mostly from Web applications, server logs, and social media sites. While large data applications are often associated with fast-growing organizations that can quickly feed back real-time data, large data is not necessarily synonymous with real time. Industry experts point out that large data does differ when it is in motion with large data at rest. External help is necessary to push it forward. Although MapReduce and Hadoop are modern 、...

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