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

With 5 months of fragmentation time, get an annual salary of 300000.

Erudite Valley has created a "cloud computing big data online combat class" for office workers.

Nearly 30 years old, knocked on the code for many years, the salary is difficult, the promotion is difficult, the career prospect is single, the future is more and more confused.

I know you want to pursue change, but do you know where your way out is?

17.3% hold

17.3% remain at a standstill, but there is no promotion or development in the salary position.

2.1% is promoted to CTO, but must have comprehensive management ability. 8.6% frequently change jobs and realize value, but it seems to be back to square one.

72% grasp the Internet trend, advanced cloud computing big data.

If you want to advance, take your life to the next level. Then you can consider signing up for big data's online class in Chuanzhi Bo Xuegu.

Not everyone can sign up casually, nor can they study after paying the money.

We only train cloud computing big data "elite" talents with an annual salary of 30W +.

The whole process escrow teaching system customizes your own learning plan.

From then on, let learning get rid of the constraints of time and place.

The online hands-on class includes:

Teaching content, learning supervision and management, answering questions at any time,

Progress tracking, employment guidance, technology and experience exchange.

Second, online actual combat class:

1. Live broadcast at a fixed time twice a week, and answer questions

two。 Full-time teachers answer questions at any time during working hours

3. Stage-by-stage examination, real-time monitoring of learning progress, follow-up learning results

Third, online actual combat class:

1. Big data course is the earliest (2012) in the country, with profound essence.

two。 Communicate closely with JD.com, Baidu and other technicians

3. The course content is updated quarterly to keep up with the pace of big data's industrial development.

Ensure the competitive advantage of students

4.6 full-time big data researchers with rich experience

Fourth, online actual combat class:

1. Advanced big data network resources can be established in the process of learning.

two。 The graduation examination will give extra points for employment by obtaining a diploma.

3. Full-process employment guidance, resume packaging, interview skills guidance

4. Priority recommendation of well-known large enterprises

Courses keep abreast of the latest developments in the industry

Take you to the forefront of cloud computing big data

Carefully polished curriculum system to protect the promotion of core competitiveness

Linux Foundation and distributed Cluster Technology

General program

Course objectives:

Proficient in the use of Linux, proficient in installing software on Linux, familiar with load balancing, high reliability and other cluster-related concepts, build Internet high concurrency and highly reliable service architecture

Competency objectives:

Building a load-balanced and highly reliable server cluster can increase the number of concurrent visits to the website and ensure uninterrupted service.

Market value:

Have the Linux server operation and maintenance ability that junior programmers must have.

Course content

Content introduction:

1. Introduce the Linux operating system.

2. Linux common commands

3. Installation of common Linux software

4. Linux network

5. Firewall

6. Shell programming

Case study:

Build a highly concurrent and reliable service architecture for the Internet

The course stage of offline computing system

General program

Course objectives:

1. Understand the role of Hadoop through the background of big data's technology and industry application cases.

2. Master the principle, operation and application development of Hadoop underlying distributed file system HDFS.

3. Master the working principle of Mapreduce distributed computing system, Hive data warehouse tools and distributed analysis application development.

Competency objectives:

1. Proficient in building a massive data offline computing platform

2. Design and implement a massive data storage scheme according to specific business scenarios.

3. Implement the distributed operation program based on Mapreduce according to the specific data analysis requirements.

Market value:

Have the ability of senior application development and junior architect in enterprise data department

Course content

Hadoop core technology framework:

1.1 Quick start for Hadoop

1.2 HDFS detailed explanation

1.3 Mapreduce detailed explanation

1.4 Hive Enhancement

Offline data mining system:

2.1 data warehouse enhancements

2.2 offline Auxiliary system

2.3 actual combat project of Web clickstream log analysis system

Storm real-time computing phase

General program

Course objectives:

1. Understand real-time computing and application scenarios

2. Master the development and underlying principles of Storm programs, the development and underlying principles of Kafka message queues.

3. Have the ability to integrate Kafka and Storm

Competency objectives:

Have the ability to develop real-time computing programs based on Storm

Market value:

Have the technical ability of real-time computing development

Course content

1. The core technology of streaming computing.

1.1 General structure of streaming computing

1.2 what can stream computing be used for?

1.3Core technical points of Storm

1.4 Kafka core technology points

2. Actual combat of streaming computing cases.

2.1 case: traffic log analysis

2.2 case: unified Monitoring and alarm system

2.3 case: transaction risk control system

Spark memory Computing Phase

General program

Course objectives:

1. Master the characteristics of Scala functional programming, proficient in using Scala development programs, can understand other source code written in Scala

2. Set up Spark cluster, write Spark calculation program with Scala, master Spark principle, and read Spark source code.

3. Understand the relationship between DataFrame and RDD, skillfully use API of DataFrame, and skillfully use Spark SQL to deal with structured data.

Connect various data sources through Spark SQL and write the processed results back to the storage medium

4. Understand the core DStream of Spark Streaming, master the programming API of DStream and write real-time computing programs.

Competency objectives:

Skillfully use Scala to quickly develop Spark big data application, through calculation and analysis of a large number of data, mining valuable data to provide decision-making basis for enterprises

Market value:

Have the ability of senior application development and junior architect in enterprise data department

Course content

1. Scala functional programming

2. Use Spark to deal with offline data

3. Use Spark SQL to deal with structured data

4. Use Spark Streaming to complete real-time calculation

5. Spark comprehensive project

Why did someone else get a raise quietly?

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.