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Hadoop and Azure HDInsight

Hadoop and Azure HDInsight

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Hadoop and Azure HDInsight

Hadoop is an open-source platform created to manage and analyze huge volumes of data by splitting the work across many machines. It is a key technology in the big data world. Azure HDInsight takes Hadoop into the cloud, offering a managed service by Microsoft that provides quick, flexible, and scalable data analytics without the need to maintain physical servers.

By learning Hadoop and Azure HDInsight, individuals gain practical skills in handling complex data tasks, from storage to advanced analytics. This certification builds confidence in working with enterprise-level big data solutions and positions learners for careers in cloud computing and data engineering.

Who should take the Exam?

This exam is ideal for:

  • Students & Graduates
  • Data Analysts
  • Data Engineers
  • IT Professionals
  • Business Intelligence Specialists
  • Developers

Skills Required

  • Basic understanding of databases and data concepts.
  • Familiarity with cloud platforms (helpful but not mandatory).
  • Logical problem-solving and analytical skills.
  • Interest in working with large-scale data processing.

Course Outline

Domain 1 - Introduction to Big Data and Hadoop

Domain 2 - Core Components of Hadoop

Domain 3 - Introduction to Azure HDInsight

Domain 4 - Working with HDInsight Clusters

Domain 5 - Data Processing with Hive and Spark

Domain 6 - Security and Monitoring

Domain 7 - Integration with Azure Services

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Hadoop and Azure HDInsight FAQs

It teaches Hadoop fundamentals and how to use Azure HDInsight for cloud-based big data solutions.

No, the certification starts with the basics of Hadoop and builds up gradually.

Yes, it is designed for beginners and professionals transitioning into big data and cloud.

 

Azure HDInsight is the platform used to run and manage Hadoop in the cloud.

Yes, Spark, Hive, and related big data tools are included.

Basic SQL knowledge is helpful, but advanced coding is not mandatory for most modules.

Data analysts, engineers, and cloud professionals looking to handle big data.

Yes, practical labs and projects are part of the training.

Hadoop handles massive, unstructured datasets while databases are better for structured, smaller data.

HDInsight reduces setup, scaling, and maintenance complexity.

No, it also covers related technologies like Spark, Hive, and Azure integration.

Basic cloud understanding helps, but detailed knowledge is taught during training.

Finance, healthcare, retail, e-commerce, and government.

Roles in data engineering, big data development, and cloud-based analytics.

Yes, because it provides the foundation for storing and processing large-scale data that AI/ML models need.