edx big data course

Hadoop big data basic training course: the only full HD version of the first season, hadoop Training CourseHadoop big data basic training course unique HD full version first seasonThe full version of 30 lessons was born Link: htt

The python language has been increasingly liked and used by program stakeholders in recent years, as it is not only easy to learn and master, but also has a wealth of third-party libraries and appropriate management tools; from the command line script to the GUI program, from B/S to C, from graphic technology to scientific computing, Software development to automated testing, from cloud computing to virtualization, all these areas have python, Python has gone deep into all areas of program devel

Big Data Combat Course first quarter Python basics and web crawler data analysisNetwork address: Https://pan.baidu.com/s/1qYdWERU Password: yegzCourse 10 chapters, 66 barsThis course is intended for students who have never been in touch with Python, starting with the most ba

); insert INTO Employee (Id,name) Span class= "Hljs-keyword" >values (03, ' Rose '); You've noticed that some data needs to be enclosed in single quotes, such as the names of Tom, Jack, and Rose, because their data types are char type. In addition, Varchar,text,date,time,enum and other types of data also require single-quote decoration, while int,float,double

Chengdu Big Data Hadoop and Spark technology training course China Information Training Center has launched the Big Data Technology architecture and application of practical training courses, through professional big

Hadoop, PPT and code links in Baidu Cloud network:Http://pan.baidu.com/share/home?uk=4013289088#category/type=0qq-pf-to=pcqq.groupLiaoliang Free 1000 collection of Big Data Spark, Hadoop, Scala, Docker videos released in 51CTO:1, "Scala Beginner's introductory classic video course" http://edu.51cto.com/lesson/id-66538.html2, "Scala Advanced Advanced Classic Vide

to build their own framework.Hadoop Field 4 a pioneering1 , full coverage of Hadoop all core content of2 , with a focus on hands-on implementation, and step in hand to master Hadoop Enterprise-level combat technology3 During the course of the lesson, the Hadoop in-depth analysis of the core source, allowing students to transform Hadoop the ability of the framework4 , with the ability to master Hadoop Complete project analysis, development, deployment

, 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

Development engineerL Android Project managerL Android ArchitectL HTML5 System Architecture and developersFour , student base1) with Java Foundation;2) have C and C + + foundation better;3) All the understanding of the design pattern will be of great benefit to improving the listening effect;Five , training methodsFor 3 days, this course covers Android's underlying, Android HAL, Android Runtime, Android Framework, Android Native Service, Android Bind

North Wind Net course, Super 1000 + hours, is absolutely the best choice for you to learn big data with Zero Foundation. This course is divided into two parts: I. Compulsory course, two. Elective courses.Required courses include:1.Linux basic knowledge, mapreduce,yarn,hdfs,h

to build their own framework.Hadoop Field 4 a pioneering1 , full coverage of Hadoop all core content of2 , with a focus on hands-on implementation, and step in hand to master Hadoop Enterprise-level combat technology3 During the course of the lesson, the Hadoop in-depth analysis of the core source, allowing students to transform Hadoop the ability of the framework4 , with the ability to master Hadoop Complete project analysis, development, deployment

-function usage Python-modules and packages Phthon language-object-oriented Python Machine Learning Algorithm Library-numpy Mathematical knowledge required for Machine Learning-Probability Theory 2. Common Algorithm Implementation KNN classification algorithm-algorithm principles KNN classification algorithm-code implementation KNN classification algorithm-Case Study of hand writing Recognition Lineage regression classification algorithm-algorithm principle Lineage regression classifi

understanding of the mobile Internet career.This course is to help you solve the core problems.Course Features1, with more than 20 Android application business software and more than 6 hardware products as the basis of experience, with you understand the top secret of Android application development and the core of system research, these content will mainly come from and Samsung, HTC, Motorola and other cooperation experience;2, the cornerstone of co

Video lessons include:18 Palm Xu Peicheng Teacher Employment class full set of Big Data video 86G contains: Hadoop, Hive, Linux, Hbase, ZooKeeper, Pig, Sqoop, Flume, Kafka, Scala, Spark, R Language Foundation, Storm Foundation, Redis basics, projects, and more!2018 the most fire may be the number of big data, here to y

: PHP |JavaScript |Html/css |JQuery |xml/xsl |Dreamweaver |Browser Technology |node. js | Other Software development: Software Testing |Agile Development |Research and Development Management |Software Design |Software Architecture | Other Database: Oracle |MySQL |SQL Server |Access |DB2 |NoSQL |MongoDB |Hbase |Sybase | Other Network technology: Network Management |Routing Switching |System Integration |Security Technology |Communicati

650) this.width=650; "src=" Http://storm.apache.org/images/logo.png "class=" logo "alt=" logo.png "/>Storm provides a common set of primitives for distributed real-time computing that can be used in "streaming" to process messages and update databases in real time. This is another way to manage queues and worker clusters. Storm can also be used for "continuous computing" (continuous computation), which makes continuous queries on the data stream, and

,COLLECT,COLLECTASMAP)4. Variable sharingSpark has two different ways to share variablesA. Variables after broadcast broadcast,broadcast each partition will be stored in one copy, but can only be read and cannot be modified >>>NBSP; b Span class= "o" style= "color: #666666;" >= sc broadcast ([ 1 2 3 4 5 ]) >>> SC . parallelize ([0,0]) . FlatMap (Lambdax:b. value )B. Accumulator accumulator, can only write, cannot be read in workerIf the accumulator is just a scalar, it is easy

Course Catalogue:Database performance optimization (111-116)Data layer processing and Performance Optimization section (99-110)Logic layer processing and Performance Tuning section (51-98)High concurrency and performance optimizations for the Web Tier section (24-50)Distributed Architecture and Deployment section (1-23)Stage two course outline. docxSenior Archite

Linearseq[a] and Product with Generictraversabletemplate[a, List] with linearseqoptimized[a, List[a]) with Serializable-- Generics are widely used in Scala and can be said to be ubiquitous, and Scala can automatically infer what type ofThe above is today's study, not very deep, the sense of application from the Scala source to under

Wang Jialin's in-depth case-driven practice of cloud computing distributed Big Data hadoop in July 6-7 in Shanghai Wang Jialin Lecture 4HadoopGraphic and text training course: Build a true practiceHadoopDistributed Cluster EnvironmentHadoopThe specific solution steps are as follows: Step 1: QueryHadoopTo see the cause of the error; Step 2: Stop the cluster;