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Showing posts from May, 2025

Become an AWS DevOps Pro with GoLogica Expert Online Training

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GoLogica AWS DevOps Engineering Online Training is a thorough and in-depth training for all the students who are eagerly waiting to learn about DevOps best practices on the AWS platform. Training covers prime topics like Continuous Integration and Continuous Deployment (CI/CD), automation, infrastructure as code, monitoring, and security through feature-rich AWS services like CodeBuild, CodePipeline, CloudFormation, and Elastic Beanstalk. By using live projects and lab exercises, the students are given first-hand experience with automating development, runtime, and deployment cycles. The intended audience of this course includes cloud developers, system administrators, and cloud architects who need to scale and automate DevOps cycles within AWS environments. Trained by instructor and guided by industry experts, the course is taught through rigorous lectures, lab practice, and rigorous AWS DevOps practice. The course is great study material for the AWS Certified DevOps Engineer Profess...

Accelerate Your Cloud Analytics Career with GoLogica Azure Databricks Certification Training

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  Azure Databricks Certification Training by GoLogica is a highly structured and industry-oriented course that imparts to students the new approach of big data analysis, Apache Spark, and machine learning in the robust Microsoft Azure platform. To increase your knowledge regarding data engineering or undertake the study of real-time analytics and AI-based solutions, the course provides the best blend of theoretical classes and practice training.   This course starts off by teaching students about the underlying architecture of Azure Databricks so that they know how an analytics platform can be integrated so seamlessly into the Azure cloud infrastructure. Students are initially exposed to key features like Delta Lake for lightning-fast data storage and transactions, Spark SQL for fault-tolerant data querying, and MLflow for end-to-end management of the machine learning lifecycle. In addition to learning techniques for job orchestration and best practices for data protectio...