Big data is essentially massive data.
In the past, data development required a certain amount of Java foundation and work experience, and the threshold was high and difficult to get started.
If you are a small partner in the data development industry with zero foundation, you can start with the Python language.
The Python language is simple and easy to understand, suitable for zero-based entry, and has the fastest rise in the ranking of programming languages. It can complete various big data integration tasks including data mining, machine learning, and real-time computing.
According to the domestic development situation, the future development prospects of big data will be very good. Since enterprises have started digital transformation in 2018, the demand for talents in the field of big data in first- and second-tier cities is very strong. In the next few years, the demand for talents in third- and fourth-tier cities will also increase significantly.
In the field of big data, domestic development is relatively late. Since 2016, only more than 200 universities have opened majors related to big data, which means that the first batch of graduates in 2020 have just entered the society. There is an urgent need for big data talents but insufficient talents, so there will be many employment opportunities in the big data field in the future.
Previously, the "2022 Spring Employment Market Trend Observation" issued by BOSS Zhipin Research Institute pointed out that due to the impact of policy regulation in 2021, the rapid expansion of the Internet industry began to cool down.
In the spring of 2022, although the recruitment scale of the Internet industry is still growing, with a year-on-year growth rate of 13%, it is at a low point since 2019, and the intensity of job hunting is higher than in previous years.
On the whole, the core technical and product positions still maintain a relatively intensive demand for talents, and the demand for talents in the main Internet technology directions has increased, while the competition for job seekers in operations and sales positions has intensified significantly.
Big data blooms everywhere,
how to seize learning opportunities?
From the "2022 China Big Data Industry Development Index Report", we can see that now big data-related industries have developed in various cities, the scale of the industry is also expanding, and the demand for talents in related industries is also increasing !
According to the "New Occupation—Analysis Report on the Employment Prosperity of Big Data Engineering and Technical Personnel", it is expected that the demand for big data talents will maintain a growth rate of 30%-40% before 2025, and the demand for talents in the industry will reach 2.5 million.
Not only is there a lot of recruitment demand, but the employment salary of big data development talents in major cities is also very impressive.
△ Data source staff and friends collection, such as intrusion and deletion
High salaries and large gaps naturally become the "salary" choice for professionals in the workplace!
Any learning process requires a scientific and reasonable learning route in order to be able to complete our learning goals in an orderly manner. The content required to learn Python+big data is complex and difficult. We have compiled a comprehensive Python+big data learning roadmap for you to help you clarify your thinking and overcome difficulties!
Detailed introduction to Python+big data learning roadmap (all free video tutorials)
Getting Started with Big Data Development in Phase 1
Pre-study guide: Start with traditional relational databases, master data migration tools, BI data visualization tools, and SQL, and lay a solid foundation for subsequent learning.
1. Big data data development foundation MySQL8.0 from entry to proficiency
MySQL is the entire IT basic course, and SQL runs through the entire IT life. As the saying goes, if SQL is well written, you can find a job easily. This course fully explains MySQL8.0 from zero to advanced level. After studying this course, you can have the SQL level required for basic development.
The core foundation of big data in the second stage
Pre-study guide: learn Linux, Hadoop, Hive, and master the basic technology of big data.
2022 Big Data Hadoop Introductory Tutorial
Hadoop offline is the core and cornerstone of the big data ecosystem, an introduction to the entire big data development, and a course that lays a solid foundation for the later Spark and Flink. After mastering the three parts of the course: Linux, Hadoop, and Hive, you can independently realize the development of visual reports for offline data analysis based on the data warehouse.
The third stage of hundreds of billions of data warehouse technology
Pre-study guide: The course at this stage is driven by real projects, learning offline data warehouse technology.
Data offline data warehouse, enterprise-level online education project practice (complete process of Hive data warehouse project)
This course will establish a group data warehouse, unify the group data center, and centralize the storage and processing of scattered business data; the purpose is from demand research, design, Version control, R&D, testing, and launch, covering the complete process of the project; digging and analyzing massive user behavior data, customizing multi-dimensional data sets, and forming a data mart for use in various scene themes.
The fourth stage PB memory computing
Pre-study guide: Spark has officially adopted Python as the first language on its homepage. In the update of version 3.2, it highlights the built-in bundled Pandas; Spark content.
1. From entry to mastery of python (19 days)
Python basic learning courses, from building the environment. Judgment statements, and then to the basic data types, and then learn and master the functions, familiarize yourself with file operations, initially build an object-oriented programming idea, and finally lead students into the palace of python programming with a case.
2. Python programming advanced from zero to website building
After completing this course, you will master advanced Python syntax, multi-tasking programming, and network programming.
3.spark3.2 from basic to proficient
Spark is the star product of the big data system. It is a high-performance distributed memory iterative computing framework that can handle massive amounts of data. This course is developed based on Python language learning Spark3.2. The explanation of the course focuses on integrating theory with practice, which is efficient, fast, and easy to understand, so that beginners can quickly master it. Let experienced engineers also gain something.
4. Big data Hive+Spark offline data warehouse industrial project actual combat
Through the big data technology architecture, it solves the data storage and analysis, visualization, and personalized recommendation problems in the industrial Internet of Things manufacturing industry. The one-stop manufacturing project is mainly based on the Hive data warehouse layer to store the data of various business indicators, and based on sparkSQL for data analysis. The core business involves operators, call centers, work orders, gas stations, and warehousing materials.