Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training: Mastering the Big Data Cloud - Complete Azure HDInsight training are: Basic knowledge of cloud computing and fundamental Big Data concepts (Hadoop, Spark). A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training: Mastering the Big Data Cloud - Complete Azure HDInsight training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training: Mastering the Big Data Cloud - Complet... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training: Mastering the Big Data Cloud - Complete Azure HDInsight training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training: Mastering the Big Data Cloud - Complete Azure HDInsight training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training: Mastering the Big Data Cloud - Complete Azure HDInsight training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Understand the architecture and main components of Azure HDInsight

Deploy, configure, and administer HDInsight clusters

Execute Big Data processing (Hadoop, Spark, Hive, etc.) on HDInsight

Manage security, scalability, and integration with other Azure services

Optimize cluster costs and performance

Automate and monitor Big Data workloads on Azure HDInsight

Training program

Module 1Fundamentals and Getting Started with Azure HDInsight

Presentation of the Azure cloud and HDInsight positioning. Components: Apache Hadoop, Spark, Hive, HBase, Kafka. Typical use cases. Initial deployment of an HDInsight cluster. Getting started with the Azure portal and associated tools. Introduction to network architecture and storage options (Azure Blob Storage, Data Lake Storage). Limits, quotas, and resource sizing.

Module 2Administration, Security, and Scalability on HDInsight

Cluster management and administration: monitoring, sizing, automation scripts, advanced configuration management. Implementing security: authentication, access control (RBAC, Azure Active Directory), encryption, identity management. Introduction to scaling, auto-scaling, and optimization best practices. Integration with other Azure services: Data Factory, Synapse, Cosmos DB. Introduction to cost management.

Module 3Advanced Workloads and Monitoring on HDInsight

Development and execution of processing with Spark, Hive, and Hadoop MapReduce. Notebooks and compatible languages: Python, Scala, SQL. Examples of real Big Data pipelines. Integration with external data sources. Job monitoring, logs, and diagnostics. Automation of orchestration with Azure Data Factory. Job performance optimization. Troubleshooting common issues and administration best practices.

Evaluation method

Ongoing case study at the end of each day to assess the ability to deploy and orchestrate Big Data workflows on HDInsight
Final multiple-choice quiz to validate overall understanding
Review of practical exercises by the trainer with personalized feedback