Big Data Technology
Standards: Aligned with industry technical standards for high-quality skills training
Faculty: Joint instruction by enterprise engineers and college experts
Platform: Integrated platform for big data deployment, O&M, data collection, analysis, and visualization
Outcome: Skills aligned with real big data industry needs
Target Partners: Enterprises, educational institutions, industry associations, and other organizations
Big Data Technology
Course Overview
This course focuses on big data technology and applications, adopting a complete closed-loop teaching system of "Hadoop platform setup — data collection — analytical processing — visual presentation," covering core technical areas including:
- Data collection
- Data preprocessing
- Data storage
- Data analysis and mining
- Data visualization.
Built on the big data ecosystem, the curriculum integrates theory with practice. The theoretical component covers fundamental knowledge including programming, database principles, operating systems, computer networks, and distributed system architecture; the practical component includes core skill training in Hadoop platform deployment and operations, data collection and cleaning, Spark big data processing, data analysis and mining, and data visualization development. Through systematic learning, learners will acquire full-process big data processing capabilities and prepare for roles such as big data developer, data analyst, and big data platform operations engineer.
Why This Course?
1. Curriculum
Integrates theory with practice through project-driven learning, ensuring practical skill application.
2. Standards
Aligned with industry technology standards, helping learners develop practical technical capabilities.
3. Faculty
Enterprise engineers and academic experts co-deliver instruction.
4. Platform
Supports an integrated experimental platform for big data platform deployment and operations, data collection and analysis, and data visualization.
5. Outcomes
Directly aligned with big data industry demands, supporting career development in big data-related roles.
What You'll Be Able to Do?
This program benchmarks against core skill requirements of the big data industry, covering the full workflow from platform deployment to data visualization:
1. Big Data Platform Deployment and Operations
- Master the Hadoop architecture and the functions of ecosystem components
- Manage and apply the distributed file system HDFS
- Master cluster monitoring and performance tuning methods
2. Data Collection and Preprocessing
- Complete multi-source data collection, including databases, log files, and web data
- Master data preprocessing techniques including cleaning, transformation, and integration
- Design and implement ETL workflows
3. Data Analysis and Mining
- Proficiently use data analysis tools for descriptive statistical analysis
- Apply machine learning algorithms for data classification, clustering, and prediction
- Perform feature engineering and model evaluation and optimization
4. Data Visualization
- Master the use of mainstream visualization tools and component libraries
- Design and develop visualization solutions
- Compose data analysis reports and present business insights
What You Will Learn?
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Training Module
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Content
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1. Big Data Platform Deployment and Operations
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Master the Hadoop architecture and the functions of ecosystem components.
Complete Hadoop cluster installation, deployment, and configuration. Study the principles and applications of the HDFS file system, the MapReduce programming model, and YARN resource scheduling, as well as Hadoop cluster monitoring, management, and troubleshooting.
Cultivate big data platform setup and operations capabilities.
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2. Distributed Database Technology
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Study the basic concepts and classification of NoSQL databases.
Master the installation, configuration, and development applications of non-relational databases such as HBase and MongoDB.
Understand NewSQL database principles.
Develop capabilities in unstructured data storage and development.
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3. Data Collection Technology
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Master the fundamentals and tools of data collection.
Study web crawling principles and mainstream framework applications.
Complete the collection and storage of database data, log data, and web data.
Formulate data storage strategies and scheduling plans.
Cultivate multi-source data collection capabilities.
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4. Data Preprocessing Technology
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Study the fundamentals and processes of data ETL.
Master methods for data cleaning, extraction, transformation, and loading.
Complete operations including missing value handling, duplicate identification, data format conversion, and multi-source data integration.
Cultivate data quality management capabilities.
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5. Big Data Analysis Technology Applications
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Master the installation, setup, and use of data analysis tools.
Study algorithms for data aggregation, grouping operations, and time series analysis.
Complete batch and real-time data computing tasks.
Compose data statistical analysis reports.
Cultivate big data analysis practice capabilities.
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6. Data Visualization Technology and Applications
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Study data visualization concepts and design principles.
Master mainstream visualization tools and chart type applications.
Complete visualization component library development, visualization page design, and interactive mode configuration.
Cultivate data visualization design and development capabilities.
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7. Spark Application Development Technology
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Study Spark architecture and computing principles.
Master Scala programming fundamentals and Spark RDD programming.
Complete Spark-based data processing, analysis, and statistical task development.
Cultivate high-performance big data computing capabilities.
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8. Python Programming Fundamentals
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Master Python syntax fundamentals and object-oriented programming.
Learn file operations and database connection and read/write operations.
Complete data processing, analysis, and visualization program development.
Cultivate Python big data programming capabilities.
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9. Database Applications and Data Analysis
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Study relational database principles and SQL language.
Master data definition, query, and update operations.
Complete multi-table join queries, aggregate function applications, and data analysis tasks.
Cultivate database management and SQL data analysis capabilities.
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Learning Environment
The platform constructs a complete technical workflow from data collection to analysis and visualization:
The Big Data Platform Deployment Training Lab provides a Hadoop cluster setup and operations environment, supporting distributed system architecture learning.
The Data Collection and Analysis Training Lab is equipped with data collection software, data preprocessing software, data analysis software, and a big data analysis platform, supporting multi-source data collection, cleaning, storage, and analysis.
The Data Visualization Training Lab provides visualization development software and training systems, supporting visualization component development and page design.
The three components work synergistically to form an integrated technical system of "platform setup — data processing — analysis and presentation," covering the key segments of the big data technology full workflow.
The platform supports blended online and offline learning, enabling learners to practice in highly simulated environments, supporting flexible learning and practice for flexible online and offline skill practice.
Company Strength
ECR Academy brings deep expertise to the product education and workforce development. Here's what sets us apart:
- We've trained nearly 500,000 participants across 29 countries since 2010, with over 300,000 earning recognized product and related skills certifications
- Our robust ecosystem includes more than 3,300 industry and academic experts specializing in data engineering, analytics, and emerging technologies
- We maintain active partnerships with over 500 enterprises that rely on the product for their operations
- Our learning resources exceed 60,000 items, covering the product standards, assessment systems, real-world case studies, and hands-on courseware
- We've organized over 150 skills competitions where 30,000+ learners developed practical capabilities in data processing, analysis, and visualization
- 16 years of proven experience in vocational training ensures your team masters industry-aligned product skills that meet real market demands
FAQ
Q: Can I take this course with no prior background?
A: Yes. The program adopts a theory-integrated-with-practice teaching model, starting from computer fundamentals and programming basics, and progressively guiding learners to master core knowledge of the product. Basic computer operation skills and logical thinking ability are recommended.
Q: What career paths are available after completing the program?
A: Graduates are qualified for positions including:
- Big data development engineer
- Data analyst
- Data mining engineer
- Big data platform operations engineer
- Data visualization engineer
- Database administrator
Q: How is the training platform deployed?
A: The platform adopts cloud computing and virtualization technologies, equipped with big data experiment management platform software.
Learners only need a computer meeting the configuration requirements (Windows or Linux operating system, 8GB or more memory, virtualization support) to perform big data experiment operations through the software.
The platform supports anytime, anywhere online learning and simulation practice, supporting the integration of theory and hands-on practice.
Contact Us
Ready to empower your team with cutting-edge Big Data Technology skills? Reach out to us at ecr2008@enteredu.com and let's start the conversation today.
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