best big data software

Note: this article to be fan Soft software general manager Chen Yan at the China data Analyst Industry Summit speech Record. today, I would like to share with you the " Management of Data".Lenovo's Mr Liu said, management three elements: Build a team, set strategy, with the team. China's typical construction team thinking, are through the palpation to choose peop

/MARIADB's NoSQL plugin;　　Infinisql: an infinitely extensible RDBMS;　　Memsql: In-memory SQL database, which has optimized flash-column storage;　　NUODB:SQL/ACID compatible distributed database;　　Oracle timesten in-memory Database: An in-memory, persistent and recoverable relational data base management system;　　Pivotal GemFire XD: Low latency distributed SQL data storage in memory, can provide SQL interface

generally have a huge factor to facilitate, for example: September this year, 30, the domestic release of a new mortgage policy ... If the curve is a price forecast line, this factor can be reflected on that day, and then, for example, the last week in Beijing continued haze ... If the curve is a sales forecast line for a mask, this factor is the cause of this node .....This panel shows the results we do not detailed analysis, its display is the decision tree analysis method, interested student

When selecting a product for deduplication, you 'd better consider the following ten questions. When a storage product provider releases a deduplication product, how can it locate its own product? Do you have to think about the following questions? 1. What is the impact of deduplication on backup performance? 2. Will deduplication reduce data recovery performance? 3. How will capacity and performance expansion grow with the environment? 4. How

results of the evaluation and incentive.Does big data need only sea Dupre platform?The Apache Software Foundation (ASF)-based Dupre (Hadoop) Open source project is undoubtedly a huge boost to big data applications, and the Hadoop HDFs system is also an important infrastruct

are referring to the large number of software developers who use spark to build production data processing applications. These developers understand the concepts and principles of software engineering, such as encapsulation, interface design, and object-oriented programming. They usually have degrees in computer science. They design and build

Recently I asked a lot of Java developers about what big data tools they used in the last 12 months.This is a series of topics for: Language Web Framework Application Server SQL data Access Tool SQL database Big Data Build tools Cloud Pro

team has been actively cooperating with and constantly adjusting its products, in the end, the final winner of the fusioninsight Financial Industry release meeting the requirements of China Merchants Bank's production system allowed China Merchants Bank to smoothly develop related systems at the beginning of 2013 and officially launch the product after the pilot is completed this year.Unlike the sales model of software and hardware binding used by

well as their respective advantages and disadvantages. It also uses a special chapter to introduce data visualization techniques related to maps. The examples of fresh data (data visualization guide) are rich and illustrated. It is suitable for data analysts, visual designers, and developers interested in

the high transaction consistency requirements of the program can only be managed at the software level, and cannot be managed from the database.　　2. the scope of support for other tools, MongoDB from the release to now less than 5 years, so will face many languages do not have a corresponding toolkit, so if you use the language does not have a corresponding package, it may be that you can not use MongoDB the biggest obstacle.　　3. The amount of resour

many of the software still requires transaction management, so the high transaction consistency requirements of the program can only be managed at the software level, and cannot be managed from the database.　　2. the scope of support for other tools, MongoDB from the release to now less than 5 years of time, so will face many languages do not have a corresponding toolkit, so if you use the language does not

consistency requirements of the program can only be managed at the software level, and cannot be managed from the database.　　2. the scope of support for other tools, MongoDB from the release to now less than 5 years, so will face many languages do not have a corresponding toolkit, so if you use the language does not have a corresponding package, it may be that you can not use MongoDB the biggest obstacle.　　3. The amount of resources in the community,

Teacher Profile:Gino, who is about to step into middle age, has acquired a bachelor's degree in mathematics and applied mathematics and a master of statistics from a prestigious university, has been studying and working abroad for nearly 20 years, and has been conducting the theory and practice of data analysis, with a strong knowledge of mathematics, statistics and computer skills.In one of the world's top 500 companies in the core department respons

where the hot research is.The field of data mining mainly includes the following aspects: Basic theory Research (rule and pattern Mining, classification, clustering, topic learning, temporal spatial data mining, machine learning methods, supervision, unsupervised, semi-supervised, etc.), social network analysis and large-scale graph mining (graph pattern Mining, community discovery, Network clustering coef

Does the NFV service require big data, small data, or both ?, Both nfv and nfv Operating NFV-based services and networks is the next service focus of progressive communication service providers (CSPs). However, it is not easy to achieve this goal. In fact, CSP indicates that it takes a lot of time and effort to build VNF and run vnf in the nfv environment. NFV

Label:Poptest is the only training institute for developing Test and development engineers in China, aiming at the ability of the trainees to be competent in automated testing, performance testing and testing tools development. If you are interested in the course, please consult qq:908821478, call 010-84505200. Start with a simple look at the concepts of cloud computing and big data. 1) Cloud computing: cl

Easily learn multithreading (I) -- the big data era requires multithreading and the multi-threaded data Era In the demand for big data and high concurrency, how can we make our enterprise survive and survive in the harsh environment of competition? This avoids writing concur

Big Data Glossary The emergence of big data has brought about many new terms, but these terms are often hard to understand. Therefore, we use this article to provide a frequently-used big data glossary for your in-depth understand

Compared with the previous information production methods, big data has three obvious features: large data volume, non-structural and real-time data, which creates an infinite world of possibilities. Enterprises are establishing and applying big

Today, massive volumes of information are filled with the IT world. data shows that in the next decade, data and content around the world will increase by 44, 80% of which are unstructured data. The advent of the big data era brings challenges and opportunities to enterprise