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AWS Certified Data Analytics Specialty (DAS-C01) Training

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Maruchin Tech

5:52:10

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  • 1. Introduction.mp4
    01:30
  • 1. 1-1.What is AWS.mp4
    03:42
  • 2. 1-2.Overview of the AWS Certification Exam.mp4
    09:05
  • 3. 1-3.Creating an AWS Account.mp4
    10:12
  • 1. Overview of Data Pipeline.mp4
    16:32
  • 1. Data Type and Data Format.mp4
    04:08
  • 2. Amazon Kinesis.mp4
    03:41
  • 3. Kinesis Data Stream (KDS).mp4
    10:31
  • 4. [Hands-on] Put Records by Kinesis Data Streams.mp4
    12:19
  • 5. Kinesis Data Firehose (KDF).mp4
    04:14
  • 6. [Hands-on] Converting records by Kinesis Data Firehose.mp4
    18:11
  • 7. Kinesis Data Analytics (KDA).mp4
    03:19
  • 8. Amazon SQS.mp4
    13:31
  • 9. Amazon Managed Streaming for Apache Kafka.mp4
    05:34
  • 10. Migration (Snow Family, Transfer Family, DataSync, DMS).mp4
    11:56
  • 11. Data Exchange, AppFlow.mp4
    03:15
  • 1. Data Type and Storage Services.mp4
    01:44
  • 2. Amazon S3.mp4
    14:14
  • 3. AWS Lake Formation.mp4
    02:31
  • 4. Overview of Database.mp4
    03:30
  • 5. Relational Amazon RDS and Amazon Aurora.mp4
    05:02
  • 6. Data Warehouse Amazon Redshift.mp4
    13:49
  • 7. NoSQL Amazon DynamoDB.mp4
    14:56
  • 8. In-memory Amazon ElastiCache.mp4
    04:56
  • 9. Amazon DocumentDB (MongoDB compatibility).mp4
    05:30
  • 10. Amazon Neptune.mp4
    02:14
  • 11. Amazon Timestream.mp4
    04:39
  • 1. ETL Processing.mp4
    03:05
  • 2. AWS Glue.mp4
    10:41
  • 3. AWS Lambda.mp4
    06:42
  • 4. Amazon EMR.mp4
    16:51
  • 5. AWS Step Functions.mp4
    08:04
  • 6. Amazon API Gateway.mp4
    07:33
  • 7. Amazon AppSync.mp4
    07:18
  • 1. Overview.mp4
    01:30
  • 2. Amazon Athena.mp4
    07:02
  • 3. Amazon OpenSearch.mp4
    06:14
  • 4. Amazon SageMaker.mp4
    03:28
  • 5. Amazon QuickSight.mp4
    04:29
  • 1. Overview.mp4
    01:16
  • 2. AWS IAM.mp4
    20:33
  • 3. AWS STS.mp4
    04:19
  • 4. Apache Ranger.mp4
    02:40
  • 5. AWS KMS.mp4
    06:25
  • 6. AWS Secrets Manager.mp4
    02:48
  • 7. AWS Certificate Manager.mp4
    01:36
  • 8. Data Governance (Macie, GuardDuty, Detective, Artifact).mp4
    06:09
  • 9. Amazon CloudWatch.mp4
    04:31
  • 10. AWS CloudTrail.mp4
    02:05
  • 11. AWS Config.mp4
    02:07
  • 1. Introduction for Practice Test.mp4
    04:43
  • 2. Practice Test (50 Questions).html
  • 1. Summary with Bonus Track.mp4
    05:16
  • Description


    Mastering AWS Data Analytics: From Basics to Specialty Certification

    What You'll Learn?


    • AWS Data Analytics Ecosystem: Understand the various AWS services tailored for data analytics and their ideal use-cases.
    • Hands-on Experience: Get practical experience with AWS analytics services by working through real-world scenarios and projects.
    • Exam Readiness: Equip yourself with the knowledge and confidence to pass the AWS Certified Data Analytics Specialty examination.
    • Best Practices: Learn industry-standard best practices and methodologies for managing and analyzing data on AWS. (2) What are the requirements or prerequisites

    Who is this for?


  • Aspiring Data Engineers and Data Scientists who want to leverage AWS for data analytics tasks.
  • What You Need to Know?


  • Desire to Learn: Passion and dedication to delve deep into AWS data analytics.
  • More details


    Description

    *The Data Analytics Professional Exam will be discontinued on April 9, 2024 and will be replaced by the AWS Certified Data Engineer - Associate. The content of this course is also scheduled to be updated on April 9, 2024.


    Dive deep into the world of AWS Data Analytics with our comprehensive and meticulously designed "AWS Certified Data Analytics Specialty" course. This course isn’t just about passing an exam; it’s about giving you the foundational knowledge and hands-on skills to leverage AWS's vast data analytics ecosystem efficiently.


    Starting from the intricacies of AWS's data storage solutions to real-time analytics, this course encompasses it all. Our tailored modules will guide you through the dynamic landscape of big data, data lakes, and machine learning integrations on AWS. With rich content, we'll delve into the depths of services like Kinesis, Redshift, EMR, and more, ensuring you not only understand their functions but can also design and deploy data solutions.


    Our real-world scenarios and projects give you a tangible feel of what AWS data analytics entails in the corporate world. Moreover, our interactive quizzes and tests ensure that you're exam-ready at any time. This course's beauty lies in its versatility: whether you're an analytics veteran aiming to update your skills or a newcomer venturing into the data realm, we cater to all needs.


    Additionally, we understand that questions arise and learning can be challenging. That’s why we offer dedicated support throughout your journey, ensuring no query goes unanswered. Dive in now and equip yourself with a potent blend of theory and practice in AWS data analytics, positioning yourself at the forefront of this burgeoning field. Your path to mastering AWS Data Analytics starts here!

    Who this course is for:

    • Aspiring Data Engineers and Data Scientists who want to leverage AWS for data analytics tasks.

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    Maruchin Tech
    Maruchin Tech
    Instructor's Courses
    Hello and nice to meet you, I'm Maruchin Tech.I am IT consultant in Tokyo, Japan.I have hands-on experience of cloud computing for major companies, software engineering, develop enterpirce applications and the architecture of cloud.I have also experience of instructing Cloud Computing and Programming (Python, Machine Learning) on Udemy and YouTube.東京都内でITコンサルタントをしております。自動車メーカーでSCM・物流実務を担当した後、ITコンサルタントとして主に製造・物流業向け案件、大規模アーキ、アプリケーション開発などに従事してきました。YouTube等で情報発信をしており、クラウドやプログラミングの解説動画を作成しております。
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 52
    • duration 5:52:10
    • Release Date 2023/12/05