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AWS Data engineering
Gain skills in Microsoft Azure, Amazon Web Services (AWS), cloud security management, and other cloud and virtualization topics to help you no matter where you are in cloud adoption.
Cloud computing is a method of computing where a shared group of resources such as file storage, web servers, data processing services and applications are accessed via the internet. Resources are housed in data centers around the world and are available to any person or device connected to the web.
We are offering comprehensive AWS certification course led by industry experts. This AWS training will prepare you for the AWS Solutions Architect certification exam. You will learn skills such as AWS Elastic Cloud Compute, Simple Storage Service, Virtual Private Cloud, Aurora database service, Load Balancing, Auto Scaling, and more by working on hands-on projects and case studies
Gain a solid understanding of data engineering concepts and architectures. Learn how distributed computing plays a vital role in solving complex data challenges
Learn the fundamentals of Azure Data Engineering, including Azure Data Factory and related services. Advanced concepts on ADF, ADLS etc
Introduction Apache spark. Architecture study of spark. Prerequisite to learn spark. Advantages of Spark over other framework. RDDs, Dataframes and Datasets. Use cases.
Master Databricks from the basics to advanced concepts . Explore Databricks integration with Azure, with real-time case studies and practical scenarios.
Introduction to Python programming. Basics of python. OOPS in python. Learn data exploration and analytics with python. Pyspark introduction. Mini projects.
Introduction to cloud computing. Introduction to AWS. Bigdata services in AWS. Learn about storage, compute and data base solution in AWS like EMR,s3, Lambda ..
Basics of CI/CD process in data engineering projects and why it is required. Introduction to GitHub, gitlabs. How the build and deployment happens in projects.
Learn the basics of data orchestration. How the jobs to executed and scheduled in real time. Learn different types of orchestration tools like Airflow, Oozie, Prefect , Rundeck ..
Introduction about how a data engineering projects works, what is the role of a data engineer on day to day basis. Real time use cases and project.