udemy big data course review

= "The first" CaseNumberifNumber ==2 = "The Second" + Number Case_ = "not known number"} println (Result)"Spark!" foreach {c = =println (c match { Case' = ' and ' space ' Casech = "Char:" +ch})}This is a default task, and today we will write another study on Scala! I hope you are concerned about Liaoliang Teacher's (18610086859), he will update the big Data video every day!The latest

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

Splunk Enterprise-Class operations intelligence Big Data analytics Platform Beginner video Course OnlineHttp://edu.51cto.com/course/course_id-6696.htmlFrom August 2, 2016 to 5th, mobile purchases can enjoy 95 percent.This article is from the "Gentleman Jianji, Dashing" blog, please be sure to keep this source http://s

statement queries the number of employees in the department, where the ID and name of the employee are from the employee table, people_num from the Department table:The other Connection statement format is using the join on syntax, which is equivalent to the following statement:SELECT id,name,people_numFROM employee JOIN departmentON employee.in_dpt = department.dpt_nameORDER BY id;The result is the same as the statement just now.Second, practice1, using the method of connection query, the numb

-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

(Fp_a.apply ( 1, 2, 3)) val fp_b = SUM (1, _: Int, 3) println (Fp_b ( 2 10)) d Ata.foreach (println _) Data.foreach (println) about closures in ScalaScala closure parsing: Let the function body implement redundant things with simple expressionsScala Closure implementation def main (args:array[string]) { = List (1, 2, 3, 4, 5, 6) = 0 + = _) = (X:int) + x + more = Add (1) = Add (9999) println (A ( )) println (b (10)Scala's functional programming is really

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This section mainly analyzes the principles and processes of mapreduce. Complete release directory of "cloud computing distributed Big Data hadoop hands-on" Cloud computing distributed Big Data practical technology hadoop exchange group:312494188Cloud computing practices will be released in the group every day. w

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

This document describes how to operate a hadoop file system through experiments. Complete release directory of "cloud computing distributed Big Data hadoop hands-on" Cloud computing distributed Big Data practical technology hadoop exchange group:312494188Cloud computing practices will be released in the group every

PrefaceWork today to see a lot about the front js,jquery, Bootstrap.js and Springmvc see vaguely, after all, rarely to learn the front-end technology, all see a bit sleepy, good to see more, go home also began to learn about the Scala related courses, experiment every day to stick to big data related things, what will become after a year ...... Look forward to ..., and today goes on yesterday's course.Scala

that the constant has access rights under the navigation package Private[ This] var speed = 200 } } Packagelaunch{ImportNavigation._ Object Vehicle {//Private[launch] Indicates that the constant is instantiated in the package launch the sibling Private[Launch] Val guide =NewNavigator} }} Read and write files in Scala, console input operations Read-write implementation of the file: Read the file with the FromFile method in the source object to read the text

{override def log (msg:string) {println ("Traitlogger Log content is:" +msg)}} Trait traitloggered{def loged (msg:string) {println ("Traitloggered Log content is:" +msg)}} Trait Consoleloggerextendstraitlogger{override def log (msg:string) {println ("Log from Console:" +msg)}}In fact, learning Scala related knowledge is to be able to develop in the future to big data, now although the work is background dev

Video materials are checked one by one, clear high quality, and contains a variety of documents, software installation packages and source code! Perpetual FREE Updates!Technical teams are permanently free to answer technical questions: Hadoop, Redis, Memcached, MongoDB, Spark, Storm, cloud computing, R language, machine learning, Nginx, Linux, MySQL, Java EE,. NET, PHP, Save your time!Get video materials and technical support addresses-------------------------------------------------------------

　　1, the massive log data, extracts one day to visit Baidu the most times the IP.Solution: The number of IPs is 4 digits from 0 to 256. So he's a 2^32.Scan the log: Directly put all the first number is n in a file n. So we have 256 files.For each small file, he found the most visited IP in Baidu (can be counted as a dictionary). Then get 256 IPs. Find the largest in 256 IPs. Overall efficiency O (N)2. Assume that there are currently 10 million records

This article mainly analyzes important hadoop configuration files. Wang Jialin's complete release directory of "cloud computing distributed Big Data hadoop hands-on path" Cloud computing distributed Big Data practical technology hadoop exchange group: 312494188 Cloud computing practices will be released in th

, range for list2.unzip, flatten, contact, map2 example Explanation //list.apply () =list ( )println (List (1, 2, 3))//> List (1, 2, 3)//list.make Copy the same elements//List.make (3, 5)//Range left closed right openprintln (List.range (1, 5))//> List (1, 2, 3, 4)//calculates the element with a spacing of-3println (List.range (9, 1,-3))//> List (9, 6, 3)//ABCDE conversion to list after the combinationVal zipped = "ABCDE". ToList zip List (1, 2, 3, 4, 5)