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Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure. It is designed to help organizations create, schedule, and automate data workflows, allowing for the efficient movement and transformation of data between various data stores and processing systems
Curriculum Designed by Experts
This Certification course has been designed by our certified professional for Beginners’ and Professionals. Want to become the master in Azure data Factory and would like to certify. This is a Real-time scenario based certification and Industry Endorsed course. A cloud-based data integration service allows creating data-driven workflows in the cloud. You can create and schedule data-driven workflows.
You will learn Introduction to Azure Data Factory, Basics of data Flows, Data flow scenarios, Data life cycle, Azure data lake storage, How to implement non-relational Data Stores, Data distribution and partitions, Data Lake Storage, Data Security with Azure Data Factory, Azure Databricks, how to Implement integration runtime, Mapping Data Flows, Azure Stream Analytics, Azure Log Analytics, how to Monitoring Data Factory pipelines, Azure Databricks, and Stream Analytics, Troubleshoot data partitioning bottlenecks, how to manage the data lifecycle.
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Cloud Adoption with Azure Data Factory course training equips you with essential skills to master data integration and pipeline automation. Enroll now to boost your career in cloud computing! This training ensures hands-on expertise, making Azure Data Factory a top choice for professionals.
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"The Cost Management with Azure Data Factory course training helps you. optimize data workflows while reducing expenses. Learn efficient resource utilization and cost-saving techniques. Enroll now to master Azure Data Factory and achieve budget-friendly cloud data integration solutions!"
Security and Compliance with Azure Data Factory course training equips you to manage data securely while adhering to global standards. Learn to implement robust security features and ensure compliance in cloud data workflows. Enroll now to advance your expertise with Azure Data Factory!
Weekday
06:00 PM TO 06:45 PM IST (GMT +5:30)
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Infrastructure Provisioning
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.