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Last Updated: Sep 19, 2026
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Huawei H13-723-ENU (HCIP-Big Data Developer) certification exam is a professional-level certification that validates the skills and knowledge required to develop big data applications using Huawei's FusionInsight HD platform. HCIP-Big Data Developer certification is designed for professionals who work with big data technologies and want to demonstrate their expertise in developing big data solutions using Huawei's FusionInsight HD platform.
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To prepare for the HCIP-Big Data Developer exam, Huawei recommends that candidates have at least two years of experience in big data development and a solid understanding of related technologies. Huawei also offers training courses and study materials to help candidates prepare for the exam. Once certified, professionals will have the skills and knowledge needed to develop and deploy big data solutions in a variety of industries, including finance, healthcare, and retail.
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The H13-723-ENU certification exam covers a range of topics including big data development concepts, big data storage and processing, big data analysis and mining, and big data application development. H13-723-ENU exam is designed to test the candidate's knowledge and skills in these areas and is divided into two parts. The first part covers theoretical knowledge and is a written exam, while the second part is a practical exam that tests the candidate's ability to develop big data applications using Huawei's FusionInsight HD platform. Passing this certification exam demonstrates the candidate's proficiency in big data development and is highly valued by employers in the industry.
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Huawei H13-723-ENU certification exam is an excellent choice for professionals who want to prove their expertise in big data development. H13-723-ENU exam covers a wide range of topics related to big data development, and it requires candidates to demonstrate their ability to apply their knowledge to real-world scenarios. HCIP-Big Data Developer certification is recognized globally and is highly valued by employers, making it an ideal choice for professionals who want to advance their careers in the field of big data development.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Application Development Overall Guide | 15% | - Big data concepts and architecture - Application development fundamentals - Scenario-based big data solutions overview - Mainstream big data technologies and ecosystems |
| Topic 2: Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and Hive principles and usage - Offline solution design and optimization - Spark SQL and batch processing - Data ingestion tools: Loader, Sqoop, Kettle |
| Topic 3: Big Data Real-time Retrieval Scenario-based Solution | 30% | - HBase architecture and development - Real-time retrieval optimization - GaussDB(DWS) and distributed query - Elasticsearch and real-time search |
| Topic 4: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Spark Streaming and Structured Streaming - Stream solution deployment and tuning - Flink stream processing framework - Flume and Kafka data ingestion |
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