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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.
Covers each topics with Real Time Examples . Covers More than 250+ Real Time Scenarios which is divided into L1 ( Basic ) + L2 ( Intermediate) and L3 ( Advanced ) . Trainer from Real Time Industry .This is completely hands-on training , which covers 90% Practical And 10% Theory
We give Combo Pack of RHEL 6 with RHEL 7 , to make sure all the candidate will get at least 5+ Year experience knowledge in Redhat Linux after attending this course.Covers SA1 + SA2 + SA3 topics in Details from the very basic to advanced level .
Complete RHCSA and RHCE Exam Preparations.Appear for Redhat Global Certification Exam At any time After the course – No need to wait to get schedule from Redhat .At your convenient time , you can book and appear for exam using our Individual Exam Delivery System called KOALA
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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.