Udemy – Data Engineering on AWS – The complete training 2024-8
Udemy – Data Engineering on AWS – The complete training 2024-8 Downloadly IRSpace

Data Engineering on AWS – The complete training, Data Engineer is in-demand role with a low supply of skilled professionals. This training offer you a means to build your confidence and credibility as data engineer, data architect, and other data-related roles. In this training you will develop ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices. The training will enhance your ability to complete the following tasks: Ingest and transform data, and orchestrate data pipelines while applying programming concepts. Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles. Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality. Implement appropriate authentication, authorization, data encryption, privacy, and governance. Enable logging. Though this training is focused towards AWS Certified Data Engineer – Associate (DEA-C01) certification but it is equally useful for learners who want to know more about Data Engineering in AWS Cloud
What you’ll learn
- Domain 1: Data Ingestion and Transformation
- Domain 2: Data Store Management
- Domain 3: Data Operations and Support
- Domain 4: Data Security and Governance
Who this course is for
- Someone who wants to build your confidence and credibility in data engineer, data architect, and other data-related roles on AWS
- Candidates who are preparing for AWS Certified Data Engineer – Associate exam.
- Anyone who want to expand their knowledge in data engineering field.
Specificatoin of Data Engineering on AWS – The complete training
- Publisher : Udemy
- Teacher : Ashish Prajapati
- Language : English
- Level : Intermediate
- Number of Course : 120
- Duration : 18 hours and 51 minutes
Content of Data Engineering on AWS – The complete training
Requirements
- General concepts for data analytics, networking, storage, and compute in AWS Cloud
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7.58 GB