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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-data-engineer-associate/
课程评论:没有评论
课程名称:2025年AWS认证数据工程师助理一次通过! 课程概述:本课程旨在帮助学员在第一次尝试中获得AWS认证数据工程师助理(DEA-C01)证书。课程包含414个与真实考试类似的问题和答案,每个正确答案都有详细解释,帮助学员深入理解概念。即使是错误答案也会附带详细解读,使每个错误都成为宝贵的学习机会。课程还提供外部参考资料,扩展学员的理解和视野。此证书验证了学员在核心数据相关的AWS服务中的技能和知识,包括数据摄取和转化、数据管道的编排、数据模型设计、数据生命周期管理以及数据质量保障等能力。 目标受众:本课程面向包括学生、顾问、软件开发人员、IT总监、IT经理、IT团队领导及IT专业人士等各类人员。 考试内容:考试包含两种问题类型:单选题和多选题。单选题有一个正确答案和三个干扰选项,而多选题则有两个或更多正确答案。未回答的问题将被视为错误,但猜测没有惩罚。 学习内容: 1. 数据摄取与转化:学习如何有效地从各种源将数据摄取到AWS数据湖或数据仓库中,掌握使用Amazon Kinesis、AWS Glue或AWS Data Pipeline等服务的技巧,以及数据转化和清洗的方法。 2. 数据存储与管理:了解AWS提供的各种数据存储选项,学习选择合适的存储解决方案,以适应数据需求和访问模式,包括Amazon S3、Amazon RDS、Amazon Redshift和Amazon DynamoDB等。 3. 数据分析与可视化:掌握分析和可视化存储在AWS中的数据的工具和服务,如Amazon Athena、Amazon QuickSight和Amazon EMR。学习如何进行临时查询、创建仪表板,并从大型数据集中生成洞察。 4. 数据安全与合规:了解处理敏感或受监管数据时的数据安全最佳实践,包括加密、访问控制、审计和合规性等,学习实施安全措施以保护静态和传输中的数据。 该课程通过理论教学与模拟考试相结合,助力学员顺利获得AWS认证数据工程师助理证书。
SIMULATORS 2025!!. Become a AWS Certified Data Engineer Associate in First Attempt. This course consists of 414 questions and answers like the real exam!!. Every correct answer comes with a thorough explanation to ensure you understand the concept in-depth.Even incorrect answers are accompanied by detailed explanations, turning each error into a valuable learning opportunityExpand your understanding with recommended external references. We provide additional resources for you to delve even deeper into the covered topics.This credential validates skills and knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.The AWS Certified Data Engineer - Associate (DEA-C01) exam also validates a candidate's 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.Audience Profile:The target audience includes:- Students- Consultants- Software Developers- IT Directors- IT Managers- IT Team Leaders- IT ProfessionalsExam content Response types There are two types of questions on the exam:Multiple choice: Has one correct response and three incorrect responses (distractors)Multiple response: Has two or more correct responses out of five or more response options Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that a candidate with incomplete knowledge or skill might choose. Distractors are generally plausible responses that match the content area. Unanswered questions are scored as incorrect; there is no penalty for guessing. What you'll learnPreparing for and attaining this certification will showcase:Data Ingestion and Transformation: You'll learn how to efficiently ingest data from various sources into AWS data lakes or data warehouses using services like Amazon Kinesis, AWS Glue, or AWS Data Pipeline. Additionally, you'll learn techniques for transforming and cleaning data to make it suitable for analysis and reporting.Data Storage and Management: The certification covers different storage options provided by AWS for storing structured, semi-structured, and unstructured data. You'll learn about services like Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, and how to select the appropriate storage solution based on data requirements and access patterns.Data Analysis and Visualization: You'll gain knowledge of tools and services for analyzing and visualizing data stored in AWS, such as Amazon Athena, Amazon QuickSight, and Amazon EMR (Elastic MapReduce). You'll learn how to perform ad-hoc querying, create dashboards, and generate insights from large datasets using these services.Data Security and Compliance: Understanding data security best practices is crucial when working with sensitive or regulated data. The certification will cover various aspects of data security in AWS, including encryption, access control, auditing, and compliance. You'll learn how to implement security measures to protect data at rest and in transit, as well as ensure compliance with industry standards and regulations.