(H13-723)

Big Data (Developer)

About the Certification

The HCIP-Big Data (Developer) is a professional-level certification from Huawei within the HCIP-Big Data track, designed for developers and engineers working on building, developing, and managing Big Data applications. It validates your ability to work with the Huawei Big Data ecosystem, develop parallel processing applications, manage data, design Hadoop and Spark solutions, and use Huawei platforms for data analytics and computing. The certification emphasizes Big Data engineering, developing Hadoop applications, writing Spark applications (Core, SQL, Streaming), managing and storing Big Data, integrating data and performing ETL operations, building Data Pipelines, analyzing data, and executing workloads on the Huawei FusionInsight platform, making it a strong professional certification for anyone developing Big Data solutions in Huawei environments.

Main Curriculum

The curriculum is divided into six main sections:

  • Big Data Fundamentals
    • Big Data concepts (volume, velocity, variety)
    • Components of Big Data architecture
    • Enterprise use cases
  • Data Collection and Storage​
    • Collecting data from multiple sources
    • Data ingestion pipelines
    • Structured and unstructured data
    • Distributed storage management
  • Data Development and ETL
    • ETL development
    • Data transformation
    • Data cleaning and validation
    • Workflow organization
  • Big Data Processing Frameworks
    • Batch processing concepts
    • Stream processing concepts
    • Distributed computing basics
    • Distributed task management
  • Data Analysis and Query
    • Big Data analysis
    • Query tools usage
    • Query performance optimization
    • Supporting analytics and reporting
  • Performance, Security, and Best Practices
    • Performance tuning and scalability
    • Resource management
    • Data security
    • Best practices for production environments

Exam Details :

  • Exam code: H13-723
  • Exam duration: 90 minutes
  • Number of questions: 60 questions
  • Question types: Multiple choice, multiple response, True/False
  • Language: English
  • Passing score: 600 out of 1000
  • Exam fee: USD 300 (may vary by country and may include taxes)
  • Certification validity: 3 years

Do I need certifications before it ?

No, not required.

However, it is recommended to have experience in Java or Python, basic knowledge of Hadoop and Spark, understanding of data processing and ETL, and some experience with Linux.

Which certifications are recommended after this one ?

Not mandatory.
However, for those seeking a strong career path in Big Data development, especially in data processing, Big Data platform development, and data analytics, the HCIP-Big Data (Developer) certification is a strong foundation.

What are the main uses of the HCIP-Big Data (Developer) certification ?

  • HCIE-Big Data – Expert-level Big Data platform design and management at the enterprise level
  • Advanced Data Engineering (Streaming / Lakehouse / Real-Time) – Deep specialization in real-time processing and modern data architectures
  • Cloud Data Engineering (Huawei Cloud / AWS / Azure / GCP) – Building and running Big Data solutions on cloud environments
  • Data Analytics & BI Platforms – Transforming Big Data into actionable insights for decision-making
  • Machine Learning & AI for Big Data – Using Big Data for training ML and AI models
  • Data Architecture & Governance – Designing scalable data platforms with strong governance and quality

Your Step Toward Professional Big Data Development :

This certification provides practical, hands-on experience in building Big Data solutions and demonstrates your ability to develop high-performance processing applications using Hadoop and Spark on Huawei FusionInsight platforms.

Who is this certification suitable for?

  • Big Data Developers
  • Hadoop and Spark developers
  • Data Engineers
  • Huawei FusionInsight platform developers
  • AI/ML Engineering teams
  • Analytics and Data Platform specialists

In Short :

A powerful professional certification for building deep programming and engineering skills in developing Big Data solutions.

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