big data implementation examples

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Implementation of the jiugongge big turntable Effect Based on javascript _ javascript skills

This article mainly describes in detail the information about how to implement the big turntable of 9ugu Based on javascript. If you are interested, please refer to the examples in this article to share with you how js achieves the big turntable of 9ugu based lucky draw, for your reference, the specific content is as follows:

Dockone WeChat Share (99): Hainan Hna Ecological Science and technology public opinion big data Platform container transformation

packaging, tomcat deployment, inconvenient development and testing personnel, unfriendly to newcomers Poor performance and difficulty in scale-out Third, the application of containerizedTo solve the above problem, we try to make sure that we need to move to the big data platform first. At the same time, we did some containerized work. The purpose of these tasks is to facilitate deployment and migr

"Reprint" Python's weapon spectrum in big data analysis and machine learning

Python official homepage: http://scikit-learn.org/ Pandas Pandas is also based on NumPy and matplotlib development, mainly for data analysis and data visualization, its data structure Dataframe and R language Data.frame very much like, especially for time series data has its own set of analysis mech

Handle the three Apache frameworks common to big data streams: Storm, Spark, and Samza. (mainly about Storm)

unexpected unrecoverable failure. The MapReduce jobs are executed sequentially and finalized. Both are distributed and fault-tolerant If the nimbus/supervisor freezes, restarting makes it continue from where it stopped, so nothing is affected. If Jobtracker crashes, all running jobs will be lost. Examples of using Apache stormApache Storm is well-known for real-time

Berlinson: Shopping malls need big data, scene marketing is the focus of

The fine operation of Shopping center is imperativeWhile online retailing has had a big impact on offline retailing, in the real ratio of retail sales, offline retail accounted for up to 90%, while online retailing accounted for only 10%. Looking to the future, offline retailing is still an important part of retail, because each of us has a physical body, physical convenience and physical experience, both of which support the long-term development of

Advanced Java developers ' skills in solving big data problems

, RESULTSET.CONCUR_READ_ONLY);To set the cursor so that the cursor does not cache the data directly into local memory, and then sets Statement.setfetchsize (200), setting the size of each traversal of the cursor; OK, I used it, Oracle used and useless no difference, Because the Oracle JDBC API by default is not to cache the data into Java memory, and MySQL is not set at all, I said a bunch of crap, hehe, I

Using. Net for sorting and paging to solve big data problems

Using. Net for sorting and paging to solve big data problems I. Overview: The DataGrid is often used in Web applications. However, the DataGrid Control performs sorting by arch. The paging function is unrealistic for tables with a large number of records, for example, if a table contains 0.2 million records, all records must be retrieved based on the order of the DataGrid and the principle of paging,

Big Data Architect must-read NoSQL modeling technology

Tags: Distributed system statistics IMG Resume timestamp ODB bigtable DB instance based on1. Preface In order to adapt to the requirements of big data scenarios, new architectures such as Hadoop and nosql that are completely different from traditional enterprise platforms are rapidly emerging. The fundamental revolution of the underlying technology will inevitably affect the superstructure:

The analysis and implementation of the--pagerank algorithm of "Big Invasive Community Division"

algorithm, every step, the surfer may not want to see the current page, do not see the current page will not click on the connection above, and quietly in the address bar to enter another address, and in the address bar input and jump to each page the probability is 1/n. Assuming that the Internet users each step to view the current page probability is a, then he jumps from the browser address bar probability is (1-a), so the original iteration formula into:Now let's calculate the probability d

Sparksql Big Data Combat: Uncover the mystery of join

introduce several common join algorithms supported by Sparksql and their applicable scenarios.join common classification and basic implementation mechanismThe current SPARKSQL supports three join algorithms: Shuffle hash join, broadcast hash join, and sort merge join. In the final analysis, both of them belong to the hash join, but before the hash join need to first shuffle or broadcast. In fact, the hash join algorithm from the traditional database,

The evolution of the Apache Kylin Big data analytics Platform

The evolution of the Apache Kylin Big data analytics PlatformExt.: http://mt.sohu.com/20160628/n456602429.shtmlI am Li Yang from Kyligence, co-founder and CTO of Shanghai Kyligence. Today I am mainly here to share with you the new features and architecture changes of Apache Kylin 1.5.    What is Apache Kylin?  Kylin is an open source project developed in the last two years and is not very well known abroad,

Big data, what can be brought to the enterprise?

Big Data is a tool, so what exactly does it do for businesses? Understanding the role of big data makes it possible for big data to serve itself better.In fact, from the traditional business process,

Liaoliang's most popular one-stop cloud computing big Data and mobile Internet Solution course V4 Android Enterprise application Development Complete training: 24 Lessons on Android Business-class development best practices

, able to read basic C # or Java syntax;Liaoliang Teacher (email [email protected] phone 18610086859 qq:1740415547)China's only mobile internet and cloud computing big Data synthesizer;President and chief expert, cloud computing Big Data Spark Asia-Pacific Institute;The president and chief expert of Spark's Asia-Pacifi

Read the story between Spring Boot, microservices architecture, and big data governance

The birth of MicroServices is not accidental, it is the product of the rapid development of the Internet, the rapid changes in technology and the traditional architecture can not adapt to fast changes, such as the impetus of the emergence of multiple factors.The birth of MicroServices is not accidental, it is the product of the rapid development of the Internet, the rapid changes in technology and the traditional architecture can not adapt to fast changes, such as the impetus of the emergence of

--pagerank algorithm MapReduce implementation of "Big Chuang _ Community Division"

data that defines a particular format. Here is the data I used to test, how to store it(Note: For custom simulation data, when the PR initial value of the selection, all the pages are "equal", will not say that their own pages and Google's popular web page there is a lot of difference, but according to a certain rule after a certain calculation of PR is not the

Key to success of enterprise Big data analysis strategy

time to investigate the demand and the interest relations, simultaneously also must evaluate the technology maturity, then makes the wiser decision.In this regard, professionals suggest that it is best to work with end-users to identify business opportunities and facilitate implementation with very high ROI.Business intelligence has become the future of enterprise development, enterprise Big

Do not solve these six problems, how to play the farm business big data?

efficiency slowly. The number of business personnel need to provide technical personnel, seriously affecting the efficiency of both sides;5: Unable to do mobile office. The leader is unable to view the core KPI indicators in real time and lacks the mobile data presentation.6: The value of the Ministry of Science and Technology can not be reflected: Most systems are software developers, the Ministry of Science and Technology is just maintenance work,

Do not solve these six problems, how to play the farm business big data?

, organization and implementation of data applications of the Department of non-motivation and value sense. In such a situation, how can you play big data?The arrival of a new era, will always create a group of surfers, but also abandon a number of crane tail. To achieve in the big

Liaoliang's most popular one-stop cloud computing big Data and mobile Internet Solutions Course V4 's Advanced Android mobile development Guru 8 class

implementation details3. Introduction to Software Framework4. Software Framework Combat: IoC, extensibility and non-modifiable5, first design (Implementation)5, Doing Long Operations6. Design Patterns of the Android Framework7th lesson: A case study of service management in the framework:Android service architecture systemserver integrated Development (with the ability to service in the most managed framew

Big Data thinking

history, but on Baidu and Google to see the number and odds of the two sides. 2. Have a brand new understanding of marketing activities and business models. Let's take a friend's example. He is going to translate all the examples of related technology development in the past few years and some good blogs he has seen abroad for marketing in China. The number of registered and purchased users on the day exceeds the expected value. In addition, marketi

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