Nosql

According to IDC forecasts, in 2006 the world's data storage volume is 180,000 PB, and now this number has reached 1.8 million PB, and in 2015 years will reach 8 million PB. At the same time, analysis of the company's data shows that by 2015, the output of large data will reach 16.9 billion U.S. dollars. The big time we see Big data is coming quietly. Although data analysis has always been a part of IT industry, and data warehousing, data mining, business intelligence and so on has been continuously for the development of enterprises and innovation to provide value, but with the scale of the data index increase ...

In recent years, with the development of science and technology, business expansion, more and more enterprises feel losing control of the data. As one of the important core components of IT system, the database carries important information data. The data form multiplication, the data capacity growth rate is also very astonishing, lets the enterprise's data environment almost cannot bear. At the same time, the day-to-day backup, optimization, expansion, and high availability working hours of the DBA (database administrator) are cyclical, as data maintenance management becomes increasingly onerous. How can we solve the above problems? With cloud computing technology ...

Two days ago, someone asked questions on Weibo, in what way to tell the big data and cloud computing can not be heard by professionals more clearly, in fact, there are many cases of large data, business intelligence analysis has repeatedly mentioned the value and significance of data mining, but today to see more data than before, big data is not terrible, The scary thing is that his real-time analytics will expose flaws and truth to people, so when cloud computing encounters big data and a brain pours into companies, can companies manage? The so-called large data mainly covers 3V-oriented, respectively, the Treatment of aging (Veloci ...

At present, the global large data enterprises are divided into two major camps. Some of them are just emerging companies with large data technology as their core, hoping to bring innovative solutions to the market and promote technological development. There are a number of original database/data warehousing business vendors, they intend to use their own advantage to impact large data areas, the existing installation base and product line Word-of-mouth to promote a new wave of technology. 　　Let's take a look at today's 15 Big data companies list, of which 10 have long been renowned, and the other five are newcomers. 1, IBM according to Wikibon hair ...

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce. 　　While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data. 　　Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

Intermediary transaction SEO diagnosis Taobao Guest Cloud mainframe technology hall with the advent of the 11 long holiday, everyone to the Ministry of Railways 12306 of the discussion again. This article (original) from 12306 website extension to the site performance of a lot of discussion, for entrepreneurs and technology enthusiasts have a strong reference. 　　The author Chenhao (Weibo) has 14 years of experience in software development, 8 years of project and team management experience. 12306.cn website Hung, was scolded by the people all over the country. I've been here for two days.

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

"Editor's note" reproduced from Che Yun Net, author army. This paper will describe the business model and the way of mining data from the angle of large data. OBD car networking in accordance with the "sell XX" to the business model, there are three kinds of things to sell: equipment, services, data. Sell equipment: Sell the OBD equipment to the network operator. OBD equipment must contain OBD module, communication module is Bluetooth or GSM, positioning module can choose GSM Base station positioning, or GPS, and some manufacturers of equipment including G-sensor. Sell Service: ...

In today's enterprise, 80% of the data is unstructured, and the data is growing exponentially by 60% annually. Large data will challenge the enterprise's storage architecture, data center infrastructure, etc., will also trigger the data Warehouse, data mining, business intelligence, cloud computing and other applications of the chain reaction. Future businesses will use more TB-level (1TB=1024GB) Datasets for business intelligence and Business Analytics. By 2020, global data usage is expected to rise 44 times-fold to 35.2ZB (1zb=10 billion TB). Big data is changing the IT world completely. October a few big technology giant ...

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 ...

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

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 ...

MAPR today updated its Hadoop release, adding Apache Drill 0.5 to reduce the heavy data engineering effort. Drill is an open source distributed ANSI query engine, used primarily for self-service data analysis. This is the open source version of Google's Dremel system, which is used primarily for interactive querying of large datasets-which support its bigquery servers. The objective of the Apache Drill project is to enable it to scale to 10,000 servers or more servers, while processing in a few seconds ...

Big Data has become a worldwide buzzword in the 2013, but in the coming 2014 years, what kind of development will this new technology usher in? We are here to make 12 predictions, hoping to get ahead of the big data technology and market changes in the coming year. "Big Data" has become one of the most popular technical terms in the 2013. The relevant market has been developing very rapidly, but also in the past year has changed a little. We see Hadoop and the ecosystem built around it from simply acting to Yu Tiancai the technical category of programmers and engineers ...

The forecast for this article comes from a group of companies that analyze the industry, including an enterprise software company (Tibco,spotfire), a publicly traded business intelligence company (Tableau), a start-up that analyzes application platforms (Alteryx), A major NoSQL supplier (Basho), as well as a customer analysis company (Gainsight). They predict that the primary theme of 2014 's Big data technology is that big data technology will become mainstream, highly specialized areas of analysis become easier, cloud computing and mobile Internet shadow ...

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 ...

Today's industry has a lot of nosql products, but now the industry also lacks a very simple architecture, and can adapt to a variety of cloud computing scenarios of the NoSQL database, and the emergence of yuntable fill the gap. Yuntable is not a database like bigtable all-inclusive, but mainly a compact distributed Key-value database, the upper cloud application will be yuntable or modified according to its own needs, so that the yuntable is easy to use, Applicable to a variety of cloud computing field ...

Whether you're using relational database systems, hash tables, or other structures to maintain your data, you must have heard about NoSQL and big data. At present, companies such as Google, Yahoo and Amazon are already developing or using large data/nosql solutions. But apart from some very specific cases, are these big data implementations really that useful? In a recent article, Capgemini consulting company Steve even pointed out that sometimes large data may be a big scam, or at least not fully become a panacea, can solve the original relationship ...

Large data analysis technology originally originated in the Internet industry. Data such as Web page archiving, user clicks, commodity information, user relations and so on form a continuous growth of mass data sets. These large data contain a wealth of knowledge that can be used to enhance the user experience, improve service quality, and develop new applications, and how to efficiently and accurately discover these knowledge will basically determine the location of major internet companies in a competitive environment. First of all, Google-led technology-oriented internet companies put forward the MapReduce technology framework, the use of Low-cost PC server cluster, large-scale concurrent processing of bulk things ...