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Big Data series Cultivation-scala Course 03

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

Big Data series Cultivation-scala Course 05

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

Big Data series Cultivation-scala Course 04

{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

Cloud computing Video tutorial Big Data virtualization Platform Technology build training course Hadoop

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-------------------------------------------------------------

(Big Data Engineer Learning path) Fourth Step SQL Foundation Course----Others (end of basic practice)

new empty database testusing the command: mysql -u root #因为在上一步已经退出了MySQL,现在需要重新登录 CREATE DATABASE test; #新建一个名为test的数据库 Again Ctrl + Z exit MySQL, then enter the statement to restore, the bak.sql just backed up to the test database: test We enter a command to view the table of the Tset database to verify the success of the recovery: mysql -u root #因为在上一步已经退出了MySQL,现在需要重新登录 use test #连接数据库test SHOW TABLES; #查看test数据库的表 You can see 4 tables and a

Big Data series cultivation-scala Course 07

= "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

(Big Data Engineer Learning path) Fourth Step SQL Foundation course----constraints

Department table), the insert succeeds: 7, non-null constraintsA non-null constraint (NOT NULL), which can be understood by a name, is a non-null constrained column that must not be empty when inserting a value. Violations of non-null constraints in MySQL, will not error, there will only be warnings, such as the following statement: INSERT INTO employee(id,name,salary,phone,in_dpt) VALUES(03,‘Jim‘,3400,119119,‘dpt2‘); #INSERT成功 age为空,因为没有非空约束,表中显示NULL INSERT INTO employee(id,name,age,phone,in_

(Big Data Engineer Learning path) Fourth Step SQL Basic Course----Modification and deletion

the table (1) Modify a value in the tableMost of the time we need to make changes not the entire database or the entire table, but one or more of the data in the table, which requires us to use this command to achieve precise modification:UPDATE 表名字 SET 列1=值1,列2=值2 WHERE 条件;For example, we want to change Tom's age to 21,salary to 3000: Note: Be sure to have a where condition, or there will be consequences you don't want to see (2) Delet

Splunk Enterprise-Class operations intelligence & Big Data analytics Platform Beginner video Course Online

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

(Big Data Engineer Learning path) Fourth Step SQL Foundation Course----Select detailed

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

Big Data series Cultivation-scala Course 06

(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

How big is big data? Three major myths about big data

Three myths about big data as the industry's interest in big data grows, one of my favorite topics I've done in 2013 was the big data public speaking more than any previous year in my career. I've made a lot of speeches at industr

Automatic big data mining is the true significance of big data.

and manual data analysis methods, but they do not touch big data at all. Of course, this book is not included in the big data age.In addition, artificial intelligence, such as Neural Networks and deep learning, is basically not

To work on big data-related high-wage jobs, first you need to sort out the big data industry distribution

systems, and development techniques. More detailed is related to: Data collection (where to collect data, if the tool is collected, cleaned, transformed, then integrated, and loaded into the data warehouse as the basis for analysis); Data access-related databases and storage architectures such as: cloud storage, Distr

DT Big Data Dream Factory free combat Big Data video complete sharing

InstituteHTTP://PAN.BAIDU.COM/S/1I30EWSD7,DT Big Data DreamWorks Spark, Scala, all videos of 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

Dream Big Data, big data change life

outstanding big Data practitioners! You can donate big Data, Internet +, 18610086859, Industrial 4.0, micro-marketing, mobile internet and other free combat courses through Liaoliang Teacher's number. The complete collection of Liaoliang free videos has been released as follows: 1, "

Mr. Cai's discussion on Big Data 10: how enterprises start their big data strategy (1)

support:The IT architecture of traditional enterprises may not support Big Data Processing (storage and analysis). enterprises can meet the needs of big data in a short period of time according to their priorities, it is an iterative process to quickly identify and obtain the most important

Old money says big Data (1)----Big data OLAP and OLTP analysis

1. First of all, let's not take big data to say things, first analysis of OLAP and OLTP.OLAP: Online analytical Processing (OLAP) systems are the most important applications of data warehouse systems and are specifically designed to support complex analytical operations, with a focus on decision support for decision makers and senior management.OLTP: Online trans

Shell in the age of big data glamour: from a little bit of thinking Baidu Big data plane question

For the students in the Linux development, Shell is a basic skill to say.For the students of the operation and maintenance. The shell can also be said to be a necessary skill for the shell. For the release Team, software configuration management students. The shell also plays a very critical role in the data. In particular, the development of distributed systems in full swing, very many open source projects are carried out in full swing (as if not dis

Delete truncate big data or delete Big Data Columns

Truncate of big data tables, column deletion, shrink recovery High Level 1. truncate operations on Big Data Tables 1. truncate related tables. truncate first deletes the space records occupied by the table in the data dictionary. 2. Release all

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