Shaanxi Kunpeng Ecological Innovation Center actively explores talent training, and two Kunpeng training activities have been successfully concluded

[51CTO.com original article] On November 28, 2020, hundreds of developers walked into the Xi'an Crystal Island Hotel in Yanta District, Xi'an for the second time. They were students in the Kunpeng Big Data HCIA-Big Data certification training and Kunpeng application migration and deployment special training activities. This was their second weekend of study after two days of training last weekend on November 21, and it was also the last day of the training. At 5 pm, the organizers Shaanxi Kunpeng Ecological Innovation Center, Huawei, senior lecturers who taught the course, and Kunpeng customers held a closing ceremony with the students, and the Kunpeng Application Big Data Developer HCIA-Big Data certificate was also issued to the relevant students on the spot.

Talent is the foundation of industrial development. The development and growth of the Kunpeng industry cannot be separated from the full support of commercial software developers, individual developers, and engineers in various fields of software and hardware. Since the Kunpeng ecosystem is still in its infancy, Kunpeng industry talent is scarce. For this reason, the Shaanxi Kunpeng Ecological Innovation Center hopes to gradually build a talent echelon for the Kunpeng big data computing industry through training to help the rapid development of the big data industry. Not only that, by popularizing Kunpeng technical knowledge, it can also help ICT practitioners master Kunpeng application and development knowledge, so that developers and engineers can master Kunpeng-related technical principles and practical capabilities as soon as possible, thereby meeting the needs of enterprise digital transformation and rapid business growth.

In the Kunpeng Big Data HCIA-Big Data training, after theoretical learning and practical operation of fourteen chapters, the trainees have a certain understanding of the development context of Huawei Kunpeng's big data ecosystem, the technical principles and applications of commonly used big data components, and other knowledge points. During these four days of study, the instructor organized the commonly used and important big data component technical principles and architecture, the basic operations of Kunpeng's distributed file system HDFS, the distributed database HBase client and table operations, and other system contents into a system to help trainees absorb and digest knowledge more systematically, and have a more comprehensive understanding of the comprehensive application of big data related technologies in different scenarios. After passing the final exam, the trainees of the training class basically have the necessary knowledge and skills for big data pre-sales, big data project management, big data development and other positions.

Taking the chapter "HDFS Distributed File System Practice" as an example, the instructor told the students that HDFS is the basis of other components of big data. The data of Hive, Mapreduce, and Spark are all stored in HDFS. Therefore, in the HDFS shell client, developers can perform various operations such as uploading, downloading, deleting data, and file system management. After studying this chapter, the students mastered the common operations of HDFS and file system management operations, and were able to better understand and master big data, and would be more confident in dealing with common HDFS in the future.

The trainees gained a lot from the Kunpeng application migration and deployment training. During the four-day training, the trainees gained a more comprehensive understanding of the architecture, features, performance specifications, and technological innovations of the Huawei Kunpeng processor. With the patient explanations and practical operations of the instructors, the trainees have learned the process of migrating software to the Kunpeng computing platform, and have basically mastered the Kunpeng code migration tool. They can build the experimental environment of the Huawei Kunpeng platform by themselves, and perform software migration, software performance testing and tuning, and software packaging on the Huawei Kunpeng platform.

On the road to the vigorous development of Kunpeng ecology, the cultivation and input of talents is one of the key factors that determine the height and breadth of the industry's take-off. Shaanxi Kunpeng Ecological Innovation Center has been actively exploring new methods for cultivating Kunpeng talents. We believe that through these two training activities, we can help companies participate more deeply in the Kunpeng ecology, and in the future we will surely attract more talents to help Kunpeng grow.

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