The Huawei HCIE Big Data Data Mining LAB Certification, associated with the H13-736 exam, validates a candidate's expertise in the big data mining process. This includes proficiency in data preprocessing, feature engineering, modeling, model evaluation, and optimization. The certification also covers the use of PySpark for big data mining, basic concepts of data lakes, and skills related to data governance methodologies, particularly within Huawei's DataArts Studio. Candidates who achieve this certification demonstrate their capability to handle complex big data projects using Huawei’s platforms such as MRS and DataArts Studio.
The Huawei HCIE Big Data Data Mining LAB Certification, associated with the H13-736 exam, validates a candidate's expertise in the big data mining process. This includes proficiency in data preprocessing, feature engineering, modeling, model evaluation, and optimization. The certification also covers the use of PySpark for big data mining, basic concepts of data lakes, and skills related to data governance methodologies, particularly within Huawei's DataArts Studio. Candidates who achieve this certification demonstrate their capability to handle complex big data projects using Huawei’s platforms such as MRS and DataArts Studio.
The Huawei H13-736 exam covers critical areas in big data mining, including:
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Candidates should have mastered the knowledge and skills required for Huawei big data HCIA and HCIP certifications. A strong foundation in Python data analysis and basics of linear algebra is also necessary. It is recommended that candidates have over 5 years of relevant work experience to be successful in this exam.
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