Shulou(Shulou.com)06/03 Report--

The development of big data has entered the fast lane of development. at present, various industries, such as medical industry, energy industry, communications industry, retail industry, financial industry, sports industry and so on, can produce huge economic value from their data collection, transmission, storage, analysis and other links, and the demand for big data talents is also increasing, but in the face of big data's development, many people have spare capacity but lack heart. I don't know what technical knowledge big data needs for development. Today, the editor will give you a comprehensive analysis.

First of all, what does big data need to learn in development?

The first stage is the foundation of Java language, this stage is the beginning stage of big data, mainly learning some concepts, characters, process control of Java language, etc.

Introduction to 01Java Development

02 familiar with Eclipse development tools

Basic of 03Java language

04Java process control

05Java string

06Java arrays and classes and objects

07 digital processing class and core technology

08I/O and reflection, multithreading

The second stage of 09Swing programs and collections is to understand and familiarize yourself with some basic knowledge of HTML and CSS.

If you want to learn big data well, you'd better join a good learning environment. You can come to this Q Group 251956502 so that it is more convenient for everyone to learn, and you can also communicate and share materials together.

The development and application of Java interactive function.

01PC site layout

02HTML5+CSS3 Foundation

03WebApp page layout

04 Native Java interactive function development

05Ajax asynchronous interaction

The third phase of 06JQuery application JavaWeb and database

01 database

02JavaWeb development core

The fourth stage of 03JavaWeb development is the basis of Linux, basic principles of Linux operating system, virtual machine use and Linux building, Shell script programming, Linux rights management and other basic knowledge of Linux use, understand common versions of Linux, and learn to use them through practical operation.

01Linux installation and configuration

02 system management and directory management

03 user and user group management

04Shell programming

05 server configuration

06Vi editor and Emacs editor the fifth stage of Hadoop ecosystem, Hadoop is big data's top priority, whether it is the overall ecosystem, or a variety of principles, use, deployment, is the core of big data engineers' work, this part must be interpreted in detail and supplemented by practical learning. The Origin and installation of 01Hadoop

Getting started with 02MapReduce

03Hadoop distributed file system

Detailed explanation of 04Hadoop file Icano

How 05MapReduce works

06MapReduce programming development

07Hive data Warehouse tool

08 open source database HBase

The sixth phase of 09Sqoop and Oozie Spark ecosystem, which is also a very core part of big data. During this period, we need to understand the use of Scala language, various data structures, and also deeply explain a series of core concepts of spark, such as structure, installation, operation, theoretical concepts, and so on. Introduction to 01Spark

02Spark deployment and operation

03Spark program development

04Spark programming model

05 job execution parsing

06Spark SQL and DataFrame

07 go deep into Spark Streaming

08Spark MLlib and Machine Learning

09GraphX and SparkR

10spark project actual combat

11scala programming

In the seventh stage of 12Python programming, Storm real-time development, Storm is mainly used to deal with real-time computing problems. In this stage, we need to explain the architecture, installation and deployment of Storm, and interspersed with Kafka's architecture, use, release, subscription and so on.

Introduction and basic knowledge of 01storm

02 detailed explanation of topology and components

03Hadoop distributed system

04spout detailed explanation and bolt detailed explanation

05zookeeper detailed explanation

06storm installation and Cluster Construction

07storm-starter detailed explanation

08 open source database HBase

09trident explains in detail the case of the eighth phase of the project. The first seven stages are all theoretical knowledge learning and actual combat drills. During this period, all knowledge should be integrated and hands-on ability should be quickly cultivated through actual combat to ensure working ability.

01 simulated double 11 shopping platform

02 front-end engineering and modular application

Why must we choose a good set of video tutorials to learn big data's development technology?

Reason 1: a set of good big data courses explain fine, easy to get started, so that the obscure big data becomes easier to learn.

In the language part of the video, we should be able to master high-order functional programming (functions as values, Corienization, implicit values, implicit conversion) on the basis of mastering functional programming and object-oriented, so that students can not only be competent for the development of the project, but also understand the Spark source code, which lays a solid foundation for future research on Spark architecture and writing the architecture themselves.

Reason 2: a set of good big data courses should be not only the explanation of theoretical knowledge, but also the explanation combined with strength, which is more clear and profound.

The combination of video explanation and example exercises can also ensure that the knowledge can be fully practiced and the knowledge can be mastered more firmly by watching the video. In the process of comprehensive case implementation, the RPC remote communication framework is implemented by using Akka communication model, which can not only deeply understand the communication mechanism of Spark, but also improve the development skills of Scala language.

Reason 3: a set of good big data courses from shallow to deep, can learn the real knowledge of big data, rather than the basic skills, will be more professional, after learning can be directly employed.

Systematically and comprehensively explain the construction of the Spark environment and the connection with the Hadoop biosphere. On the basis of Scala language, in-depth understanding of the use of Spark common operators and advanced operators, so that students can flexibly use the core technology of Spark in the future development process. Explain the Spark ecology, develop and optimize the performance of the two-pronged approach, share practical skills in the enterprise, students learn more comprehensive, more practical. In-depth explanation of the Spark source code and Spark framework, from the inside to the outside, mining the internal organs of Spark, so that in-depth, and then in-depth. Students can understand all aspects of Spark ecology from the principle and from the cornerstone.

Big data study, Brooks no delay, the opportunity is in front of us, seize the development of the times, to create their own miracle!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.