big data implementation examples

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Cloud computing Architecture technology and practice 20:2.4.5 Big data Analytics Cloud

processing, and the timely, accurate and intelligent execution strategy decision-making, for specific business objectives (such as large-scale intelligent traffic cloud, logistics Cloud network construction). Compared with the large number of persistent storage I/O interactions involved in the segmentation, merging, and blending of the previous data batches, the most significant difference is that the data

On the feasibility of Big Data 3.0 replacing SAP HANA

, first used to replace BW, to support the data mart scene, to meet the enterprise's report statistics, query and market analysis needs. Three, Big Data 3.0 the feasibility of replacing Hana The launch of Hana is a sharp weapon in SAP's attempt to get rid of Oracle's dependence and to hit the database battlefield aggressively. Of course, its products,

Spring Boot, micro-service architecture, and big data

Read the story between Spring Boot, microservices architecture, and big Data governance https://www.cnblogs.com/ityouknow/p/9034377.htmlMicro-Service ArchitectureThe 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 multip

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,

Play the big data series of Apache Pig advanced skills Function programming (vi)

Original is not easy, reproduced please be sure to indicate, original address, thank you for your cooperation!http://qindongliang.iteye.com/Pig series of learning documents, hope to be useful to everyone, thanks for the attention of the scattered fairy!Apache Pig's past lifeHow does Apache pig customize UDF functions?Apache Pig5 Line code How to implement Hadoop WordCount?Apache Pig Getting Started learning document (i)Apache Pig Study notes (ii)Apache Pig Learning notes Built-in functions (iii)

Big Data Engineering Personnel knowledge map

use data mining methods to solve practical problems with the help of computer systems and programming tools, in this way, we can mine massive data to boost business growth, and create more value for enterprises in the fierce market competition. Because the business varies with the company, but the technical points are figured out. Here I briefly summarize the technical knowledge that

New generation Big Data processing engine Apache Flink

Https://www.ibm.com/developerworks/cn/opensource/os-cn-apache-flink/index.htmlDevelopment of the Big Data computing engineWith the rapid development of big data in recent years, there have been many popular open source communities, including Hadoop, Storm, and later Spark, all with their own dedicated application scena

Big Data Contest (3)-Model selection I

/BoostedTree.pdfThere are some related information:Xgboost Guide and actual combat http://vdisk.weibo.com/s/vlQWp3erG2yo/1431658679Xgboost ParametersHttp://xgboost.readthedocs.io/en/latest/parameter.htmlXgboost parameter setting (translation)http://blog.csdn.net/zzlzzh/article/details/50770054In simple terms, unlike the traditional GBDT method, only the first order derivative information is used, and the xgboost of the loss function is done by Taylor expansion , and the whole solution of the reg

Some optimization techniques for java+mysql Big Data

by:PreparedStatement statement = connection.preparestatement (sql,resultset.type_forward_only,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

1. Python Big Data application-Deploy Hadoop

Python Big Data App IntroductionIntroduction: At present, the industry mainstream storage and analysis platform for the Hadoop-based open-source ecosystem, mapreduce as a data set of Hadoop parallel operation model, in addition to provide Java to write MapReduce task, but also compatible with the streaming way, You can use any scripting language to write MapReduc

Play the big data series of Apache Pig advanced skills Function programming (vi)

Original is not easy, reproduced please be sure to indicate, original address, thank you for your cooperation!http://qindongliang.iteye.com/Pig series of learning documents, hope to be useful to everyone, thanks for the attention of the scattered fairy!Apache Pig's past lifeHow does Apache pig customize UDF functions?Apache Pig5 Line code How to implement Hadoop WordCount?Apache Pig Getting Started learning document (i)Apache Pig Study notes (ii)Apache Pig Learning notes Built-in functions (iii)

What happens when big data is combined with cloud computing

There is a huge amount of data generated every day in life, so what is the use of so much data? In the big data age, the deep combination of big data and cloud computing will have more new technologies and new products to emerge.W

Big Data efficient copy processing case analysis summary, copy case analysis summary

Big Data efficient copy processing case analysis summary, copy case analysis summary An old customer wants to quickly copy data from a table in SQL Server to the SQLite database for regular backup. There are about more than 0.5 million records in the data table, the table has about 100 fields. In addition to the hope o

2018 newest and most complete--ai + Big Data high-end training tutorial-ai video Tutorial

principles and techniques4. Learn the skills and methods commonly used in machine learning process5. Practical training of classical machine learning projects in various industries6. Understanding the relationship between AI, machine learning, deep learning, big data ecosystem7, into the field of artificial intelligenceFirst stage: Code levelThrough the Python language and Python

Core components of the spark Big data analytics framework

relative to the traditional database connection, can deal with larger, deeper topological relations, can be performed on multiple cluster nodes, is indeed the modern data relationship research tool.Iv. Mllib Machine Learning Support FrameworkBy porting the machine learning algorithm to the spark architecture, it can take advantage of the underlying large-scale storage and the data fast access of the RDD, a

Big talk design pattern python implementation-Enjoy meta mode

):Panax NotoginsengSelf.hashtable =dict () - the #Gets the site class if there is a direct return if it does not exist and returns after it has been built. + defget_website (self, key): A if notKeyinchself.hashtable: theSelf.hashtable[key] =concretewebsite (Key) + returnSelf.hashtable[key] - $ #Number of site instances $ defGet_website_count (self): - returnLen (Self.hashtable.keys ()) - the if __name__=="__main__": -Factory =websitefactory ()WuyiF1 =

hadoop~ Big Data

/Cd/home/hadoop/hadoopRM-FR output/Bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.4.jar grep input Output ' dfs[a-z. +cd/hone/hadoop/hadoop/etc/hadoop/Vim Slaves172.25.45.3172.25.45.4Vim CORE-SITE.XMVim Mapred-site.xmlVim Hdfs-site.xmlCd/home/hadoop/hadoopBin/hdfs Namenode-formatsbin/start-dfs.shJPsBin/hdfs Dfs-mkdir/user/hadoop # #要上传的文件, you must create a new directory before uploading itBin/hdfs Dfs-put Input/testRM-FR input/Bi

Laxcus Big Data Management System 2.0 (13)-Summary

still too many links, coupled with the complexity of the various linkages between these links, we will be stable, reliable, "big" the three indicators in the first place, other indicators as the secondary requirements are put behind. So, from this point, Laxcus, although able to manage millions's computer nodes, realizes the EB-level data storage computing power, but also provides a fast memory-based

In the big Data era, how will the department store informationization change?

For the modern enterprise and the company's future innovation and development, the enterprise's comprehensive implementation of information strategy has become an important part of enterprise development, in the implementation process of information technology, how to combine the internal management and innovation, the use of Information framework mode to open up the current information process is a key iss

Java is a little tricky when it comes to working with big data.

by:PreparedStatement statement = connection.preparestatement (sql,resultset.type_forward_only,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

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