AWS Certified Data Analytics Specialty 2024 – Hands On!
2024 年 AWS 认证数据分析专业 – 动手实践!

Practice exam included! AWS DAS-C01 certification prep course with exercises. Kinesis, EMR, DynamoDB, Redshift and more!
包括模拟考试!AWS DAS-C01 认证预备课程和练习。Kinesis、EMR、DynamoDB、Redshift 等!

教程演示🔗

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Embark on a comprehensive journey towards becoming an AWS Certified Data Analytics Specialist with our 2024 – Hands-On! course. Delve into the world of big data and cloud computing, mastering the art of data engineering and machine learning. With extensive coverage of Kinesis data streams, DynamoDB’s big data handling, EMR’s data processing capabilities, and Redshift’s data warehousing, you’re set to tackle real-time analytics and data visualization challenges. Prepare with our AWS certification training, complete with practice exams and exercises, ensuring you’re ready to excel in the AWS DAS-C01 exam and elevate your career in cloud-based data storage and analytics.
加入我们的 2024 – 动手实践!课程,全面准备成为 AWS 认证数据分析专家。深入大数据和云计算领域,精通数据工程和机器学习。课程全面涵盖 Kinesis 数据流、DynamoDB 处理大数据、EMR 数据处理和 Redshift 数据仓库,让您准备好应对实时分析和数据可视化的挑战。通过我们的 AWS 认证培训,包括模拟考试和练习,确保您准备好在 AWS DAS-C01 考试中出色表现,并提升您在云数据存储和分析领域的职业生涯。

What you’ll learn 学习内容

  • Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
    最大限度地提高您通过 AWS Certified Data Analytics Specialty 考试的几率
  • Move and transform massive data streams with Kinesis
    使用 Kinesis 移动和转换海量数据流
  • Store big data with S3 and DynamoDB in a scalable, secure manner
    使用 S3 和 DynamoDB 以可扩展、安全的方式存储大数据
  • Process big data with AWS Lambda and Glue ETL
    使用 AWS Lambda 和 Glue ETL 处理大数据
  • Use the Hadoop ecosystem with AWS using Elastic MapReduce
    使用 Elastic MapReduce 将 Hadoop 生态系统与 AWS 结合使用
  • Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
    使用 Amazon ML、SageMaker 和深度学习将机器学习应用于海量数据集
  • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
    使用 Kinesis Analytics、Amazon Elasticsearch Service、Redshift、RDS 和 Aurora 分析大数据
  • Visualize big data in the cloud using AWS QuickSight
    使用 AWS QuickSight 在云中可视化大数据

Requirements 要求

  • You must have an AWS account to follow along with the hands-on activities. The services used will cost a few dollars in AWS fees (it costs us $5 USD)
    您必须拥有 AWS 账户才能完成动手操作。所使用的服务将花费几美元的 AWS 费用(花费 5 美元)
  • AWS recommends associate-level certification before attempting the AWS Data Analytics exam. It is an advanced and challenging exam.
    AWS 建议在尝试 AWS Data Analytics 考试之前获得助理级认证。这是一项高级且具有挑战性的考试。

Description 描述

[v2024: The course has been fully updated for the latest AWS Certified Data Analytics -Specialty DAS-C01 exam, and will be kept up-to-date until AWS retires this exam in April. Grab this certification before it’s gone! ]
[v2024:该课程已针对最新的 AWS Certified Data Analytics – Specialty DAS-C01 考试进行了全面更新,并将保持最新状态,直到 AWS 于 4 月停用此考试。在它消失之前获得此认证!]

The AWS Certified Data Analytics Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together.
AWS Certified Data Analytics 专业考试是您可以从 Amazon 参加的最具挑战性的认证考试之一。通过它毫不含糊地告诉雇主,你对大数据系统的了解是广泛而深入的。但是,即使是经验丰富的技术人员也需要为这次考试做好充分的准备。本课程通过涵盖考试中的所有大数据技术以及它们如何组合在一起,为您取得成功奠定基础。

Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we’ve seen. Together, they’ve taught over 2 million people around the world. This course combines Stéphane’s depth on AWS with Frank’s experience in Big Data, gleaned during his 9-year career at Amazon itself. Both Frank and Stéphane have taken and passed the exam themselves on the first try.
最畅销的 Udemy 讲师 Frank Kane 和 Stéphane Maarek 联手提供了我们见过的最全面、最动手的预备课程。他们一起教了全世界超过200万人。本课程将 Stéphane 对 AWS 的深入了解与 Frank 在 Amazon 的 9 年职业生涯中积累的大数据经验相结合。Frank 和 Stéphane 在第一次尝试时就自己参加并通过了考试。

The world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:
AWS 上的数据分析领域包括一系列令人眼花缭乱的技术和服务。我们深入介绍的主题包括:

  • Streaming massive data with AWS Kinesis
    使用 AWS Kinesis 流式传输海量数据

  • Queuing messages with Simple Queue Service (SQS)
    使用 Simple Queue Service (SQS) 对消息进行排队

  • Transitioning from small to big data with the AWS Database Migration Service (DMS)
    使用 AWS Database Migration Service (DMS) 从小数据过渡到大数据

  • Storing massive data lakes with the Simple Storage Service (S3)
    使用简单存储服务 (S3) 存储海量数据湖

  • Optimizing transactional queries with DynamoDB
    使用 DynamoDB 优化事务查询

  • Tying your big data systems together with AWS Lambda
    将您的大数据系统与 AWS Lambda 绑定在一起

  • Making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation
    使用 AWS Glue、Glue ETL、Glue DataBrew、Glue Studio 和 Lake Formation 实现非结构化数据查询

  • Processing data at unlimited scale with Elastic MapReduce, including Apache SparkHiveHBasePrestoZeppelinSplunk, and Flume
    使用 Elastic MapReduce 无限规模处理数据,包括 Apache Spark、Hive、HBase、Presto、Zeppelin、Splunk 和 Flume

  • Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow
    通过深度学习、MXNet 和 Tensorflow 大规模应用神经网络

  • Applying advanced machine learning algorithms at scale with Amazon SageMaker
    使用 Amazon SageMaker 大规模应用高级机器学习算法

  • Analyzing streaming data in real-time with Kinesis Analytics
    使用 Kinesis Analytics 实时分析流数据

  • Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service
    使用 Amazon Opensearch(以前称为 Elasticsearch)服务搜索和分析 PB 级数据

  • Querying S3 data lakes with Amazon Athena
    使用 Amazon Athena 查询 S3 数据湖

  • Hosting massive-scale data warehouses with Redshift and Redshift Spectrum
    使用 Redshift 和 Redshift Spectrum 托管大规模数据仓库

  • Integrating smaller data with your big data, using the Relational Database Service (RDS) and Aurora
    使用关系数据库服务 (RDS) 和 Aurora 将小型数据与大数据集成

  • Visualizing your data interactively with Quicksight
    使用 Quicksight 以交互方式可视化数据

  • Keeping your data secure with encryption, KMSHSMIAMCognitoSTS, and more
    通过加密、KMS、HSM、IAM、Cognito、STS 等确保数据安全

Throughout the course, you’ll have lots of opportunities to reinforce your learning with hands-on exercises and quizzes. And when you’re done, this course includes a practice exam that’s very similar to the real exam in difficulty, length, and style – so you’ll know if you’re ready before you invest in taking it. We’ll also arm you with some valuable test-taking tips and strategies along the way.
在整个课程中,你将有很多机会通过动手练习和测验来加强你的学习。完成后,本课程包括一个模拟考试,在难度、长度和风格上与真实考试非常相似 – 因此,在投资参加考试之前,您就会知道自己是否准备好了。在此过程中,我们还将为您提供一些有价值的应试技巧和策略。

Data analytics is an advanced certification, and it’s best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.
数据分析是一项高级认证,最好由已经在 AWS 中获得助理级认证并具有一些实际行业经验的学生来学习。本考试不适合 AWS 初学者。

You want to go into the AWS Certified Data Analytics Specialty Exam with confidence, and that’s what this course delivers. Hit the enroll button, and we’re excited to see you in the course… and ultimately to see you get your certification!
您希望满怀信心地参加 AWS Certified Data Analytics 专业考试,而这正是本课程所提供的。点击注册按钮,我们很高兴在课程中见到您……并最终看到您获得认证!

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Instructor 教练

My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.
我叫 Stéphane Maarek,我对云计算充满热情,我将担任本课程的讲师。我教授 AWS 认证,专注于帮助我的学生提高他们在 AWS 方面的专业能力。

I have already taught 1,500,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!
在我的职业生涯中,我已经教过 1,500,000+ 名学生,并在设计和提供这些认证和课程方面获得了 500,000+ 条评论!

With AWS becoming the centerpiece of today’s modern IT architectures, I have decided it is time for students to learn how to be an AWS Data Analytics Professional. So, let’s kick start the course! You are in good hands!
随着 AWS 成为当今现代 IT 架构的核心,我认为是时候让学生学习如何成为一名 AWS 数据分析专业人员了。所以,让我们开始课程吧!你掌握得很好!

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Instructor 教练

Hey, I’m Frank Kane, and I’m also co-instructing this course. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I’m best known for my top-selling courses in “big data”, data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch.
嘿,我是弗兰克·凯恩(Frank Kane),我也是这门课程的共同讲师。我在亚马逊内部工作了九年,担任高级工程师和高级经理,我最出名的是我在“大数据”、数据分析、机器学习、人工智能、Apache Spark、系统设计和 Elasticsearch 方面的畅销课程。

I’ve been teaching on Udemy since 2015, where I’ve reached over 750,000 students all around the world!
自 2015 年以来,我一直在 Udemy 上任教,在那里我接触到了全球超过 750,000 名学生!

I’ve worked hard to keep this course up to date with the latest developments in AWS data analytics, and to make sure you’re prepared for the latest version of this exam. Let’s dive in and get you ready!
我一直在努力使本课程与 AWS 数据分析的最新发展保持同步,并确保您为最新版本的考试做好准备。让我们潜入并让您做好准备!

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This course also comes with:
本课程还附带:

  • Lifetime access to all future updates
    终身访问所有未来更新

  • A responsive instructor in the Q&A Section
    问答部分反应灵敏的讲师

  • Udemy Certificate of Completion Ready for Download
    Udemy 结业证书可供下载

  • A 30 Day “No Questions Asked” Money Back Guarantee!
    30天“无条件”退款保证!

Join us in this course if you want to pass the AWS Certified Data Analytics -Specialty DAS-C01 Exam and master the AWS platform!
如果您想通过 AWS Certified Data Analytics – Specialty DAS-C01 考试并掌握 AWS 平台,请加入我们的本课程!

Who this course is for:
本课程适用于谁:

  • Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.
    在亚马逊云科技上寻求大数据技术认证的经验丰富的技术人员。

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