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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-aws-certified-data-engineer-end-to-end-project/
课程评论：没有评论
课程名称：全新AWS认证数据工程师 + 实际项目实践 课程概述：本课程旨在通过实际操作帮助学习者掌握AWS上的数据工程技能，适合准备AWS认证数据工程师助理考试（DEA-C01或DE1-C01）的人士。考试是一项挑战，涵盖广泛的服务，要求 extensive 的准备。通过实际项目，学员能够更好地理解AWS服务的运作。课程结合了解释模块与实际指导，帮助你建立完整的基础知识。 在课程中，你将获得实践经验，通过构建端到端的数据工程解决方案，进行数据摄取、转换、分析、编排和可视化等任务。我的目标是让你成为一名数据工程师，理解数据工程实践，并帮助你顺利通过认证考试，推动你的职业发展。 课程内容包括： - 数据流和批处理摄取：使用AWS DMS、Apache Kafka、Kinesis等工具。 - 存储和数据库：使用Amazon S3、RDS、DynamoDB等服务。 - 数据转换与处理：使用AWS Glue、EC2、EKS等技术。 - 数据分析与查询：使用Amazon OpenSearch Service、Redshift、Athena。 - 管道调度与编排：使用EventBridge、Step Functions、Airflow等工具。 - 数据可视化：通过Amazon QuickSight和机器学习。 - 数据管道的运营维护：使用CloudWatch和CloudTrail。 - 身份认证、授权、数据加密及治理实践的相关知识。 你还将深入了解开源技术和SQL，掌握Apache Kafka的基础知识，以及如何使用SQL进行数据读写和转换。 加入我，一起迈向成功，通过数据工程师助理考试。
[2025 NEW] Data Engineering on AWS with Real World Hands On Project! Learn by doing!*The hands on project will be using an AWS Free Tier resources.*Building real world projects is proven to be the best way to retain knowledge and prove your expertise. These projects can be additional resource to be used during CV building and interview processes to explain experience with AWS Cloud and Data Engineering AWS Certified Data Engineer Associate Exam (DEA-C01 or DE1-C01) is one of the tougher exams you can take. It covers a lengthy array of services and extensive preparation is required, watching videos in my experience usually doesnt cut it. Applying your learnings by doing will be a great way of ensuring that you really understand how these services work! This course gives you the best of both worlds by combining explanatory modules with hands on guidance.In this course, I will guide you through the complete fundamentals needed to be a data engineer on AWS. I will explain fundamental data engineering concepts and demonstrate how to apply these concepts using AWS services. Throughout the course, you will gain hands-on experience by building an end-to-end data engineering solution, performing tasks like data ingestion, transformation, analysis, orchestration and visualisation. My goal is to prepare you to become a data engineer, understand data engineering practices as a solutions architect, pass the AWS DEA-C01 certification and help you succeed in your career.Ive made sure to provide one of the most comprehensive and project based course out there today backed by instructors with extensive careers at AWS!The course will cover the following:Streaming and Batch ingestion of data with AWS DMS, Schema Conversion Tool, Apache Kafka, Amazon MSK, MSK Connect, Kinesis Data Streams, Kinesis Data Firehose, AWS Glue Schema RegistryStorage and Databases on Amazon S3, Amazon EBS, Amazon EFS, AWS Backup, Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon Neptune, Amazon DocumentDB, Amazon Timestream, AWS Lake FormationTransforming and processing with AWS Glue, Amazon EC2, Amazon ECR, Amazon ECS, Amazon EKS, Amazon EMR, AWS Batch, AWS Lambda, Managed Service for Apache Flink, LambdaAnalyse and query data on Amazon OpenSearch Service, Amazon Redshift, Amazon AthenaSchedule and Orchestrate the end-to-end pipeline and integrate with other services using Amazon EventBridge, AWS Step Functions, Apache Airflow MWAA, AWS Glue Workflows, Amazon SNS, Amazon SQS, Amazon AppFlowConsume and Visualise data with Amazon QuickSight, Machine Learning, Amazon SagemakerOperationalise, maintain, and monitor data pipelines with Amazon CloudWatch and CloudTrailLearn appropriate authentication, authorization, data encryption, privacy, and governance practices. Amazon IAM, Amazon KMS and AWS Secrets ManagerETL pipeline concepts like Slowly Changing Dimensions (SCD I, SCD II)CI/CD tools on AWS such as AWS CloudFormation, AWS Serverless Application Model AWS CodeCommit, AWS CodeBuild, AWS Code Deploy, AWS CodePipelineDeep Dive on Open Source Technologies and SQLReading, writing and transforming data withApache SparkLearn fundamentals of streaming with Apache KafkaUnderstand architecture of OpenSearchWrite basic to intermediate queries and procedures with Structured Query Language (SQL)Join me on this exciting journey and work towards achieving the Data Engineer Associate Exam (DEA-C01 or DE1-C01.
