عراب ال IT 
امتحانات دوليه
(H13-731)
HCIE-Big Data (Data Mining)
About the Certification
The HCIE-Big Data (Data Mining) is an expert-level certification from Huawei within the HCIE-Big Data track, representing one of the highest professional certifications in Big Data analysis and knowledge extraction. It prepares professionals to build advanced data analytics solutions, design Data Mining models, run Machine Learning algorithms at scale, and manage data platforms within complex enterprise environments.This certification validates the candidate’s ability to execute end-to-end projects, including data collection, cleaning, preprocessing, pattern extraction, and applying ML and DL algorithms using the Huawei Big Data ecosystem. It focuses on designing and implementing Data Mining processes, building large-scale Machine Learning models, analyzing data via the Spark and Hadoop ecosystem, creating end-to-end Data Pipelines, applying classification, clustering, and predictive algorithms, handling unstructured data, and operating Big Data solutions on Huawei Cloud. It represents the highest certification for demonstrating expertise in Big Data analytics and Data Mining on Huawei platforms.
Main Curriculum
The curriculum is divided into six main sections
- Advanced Big Data Engineering
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- Designing advanced Big Data architectures
- Scalable and distributed architectures
- Data lakes and analytics platforms
- High availability and performance
- Data Mining Algorithms
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- Classification and regression
- Clustering algorithms
- Association rule mining
- Anomaly and pattern detection
- Advanced Analytics and Business Insights
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- Advanced statistical analysis
- Predictive and descriptive analytics
- Visualization and insights communication
- Linking analytics to key business metrics
- Machine Learning on Big Data
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- Applying ML on distributed platforms
- Training models at scale
- Hyperparameter optimization
- Model validation and evaluation
- Model Deployment, Optimization, and Governance
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- Deploying models in production
- Performance optimization
- Model lifecycle management
- Governance, ethics, and compliance
- Data Preparation and Feature Engineering
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- Data cleaning and preprocessing
- Feature selection and extraction
- Handling missing and noisy data
- Data transformation techniques
Exam Details :
- Exam code: H13-731
- Number of questions: 60–70 questions
- Question types: Multiple choice, multiple response, True/False, advanced scenario-based questions
- Exam duration: 90 minutes
- Language: English
- Passing score: 600 out of 1000
- Exam fee: USD 300 (Written Exam, may vary by country and may include taxes)
- Certification validity: 3 years
Do I need certifications before it ?
No, not strictly required.
However, it is highly recommended to have HCIP-AI certification or equivalent experience, proficiency in Python, deep understanding of Deep Learning and Machine Learning, practical experience with ModelArts or MindSpore, and participation in real enterprise AI projects.
Which certifications are recommended after this one ?
Not mandatory.
However, for those pursuing very advanced Big Data analytics and Data Mining, especially in solution design, analytics performance optimization, and advanced algorithm implementation on Huawei platforms, the HCIE-Big Data (Data Mining) certification is the strongest choice.
What are the main uses of the HCIE-Big Data (Data Mining) certification ?
- Advanced Data Science & Analytics – Mastering predictive modeling and pattern extraction
- Machine Learning & Deep Learning – Applying ML and DL to improve Data Mining outcomes and build intelligent solutions
- Generative AI (LLMs / Data for GenAI) – Using Big Data in generative AI applications
- Data Architecture & Platform Design – Designing scalable enterprise data platforms for advanced analytics
- Cloud Data & AI Platforms (Huawei Cloud / AWS / Azure / GCP) – Implementing Data Mining and AI solutions in cloud environments
- AI Strategy & Advanced Analytics Leadership – Advancing into leadership roles like Chief Data Scientist or AI Architect
Your Step Toward Expert Data Mining :
This certification provides top-level expertise in Big Data and analytics, demonstrating your ability to build predictive models, run ML algorithms at scale, and transform raw data into actionable knowledge for enterprises.
Who is this certification suitable for ?
- Big Data Engineers
- Data Scientists
- Hadoop and Spark engineers
- AI/ML developers
- Any expert working in enterprise-scale Big Data environments