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Yasmine Elfares

يهدف هذا المشروع الارشادي الذي يستغرق 60 دقيقة الى تعليم مهندسي البيانات كيفية إنشاء خط بيانات شامل في الوقت الفعلي باستخدام خدمات AWS. هذا المشروع متوسط المستوىز بنهاية المشروع ، سيكتسب المتعلمون خبرة عملية في تدفق البيانات ومعالجتها وتخزينها من خلال إنشاء خط بيانات في الوقت الفعلي بالإضافة إلى تعلم أفضل الممارسات لتصميم وتنفيذ حلول هندسة بيانات فعالة من حيث التكلفة على AWS باستخدام AWS Kinesis و Lambda و Amazon S3.

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يهدف هذا المشروع الارشادي الذي يستغرق 60 دقيقة الى تعليم مهندسي البيانات كيفية إنشاء خط بيانات شامل في الوقت الفعلي باستخدام خدمات AWS. هذا المشروع متوسط المستوىز بنهاية المشروع ، سيكتسب المتعلمون خبرة عملية في تدفق البيانات ومعالجتها وتخزينها من خلال إنشاء خط بيانات في الوقت الفعلي بالإضافة إلى تعلم أفضل الممارسات لتصميم وتنفيذ حلول هندسة بيانات فعالة من حيث التكلفة على AWS باستخدام AWS Kinesis و Lambda و Amazon S3.

هذا المشروع مُخصص لمهندسي البيانات الراغبين في تعلم خطوط أنابيب البيانات ، لدمج البيانات من مصادر مختلفة في وجهة واحدة مشتركة ، وتمكين تحليل البيانات السريع لرؤى الأعمال. سيتم ذلك من خلال بناء نظام دفق بيانات في الوقت الفعلي لشركة تجارية. يتكون النظام من خط بيانات يهدف إلى تدفق بيانات الأسهم مثل الأسعار وتسليمها لعملاء الشركة الذين سيتخذون الإجراءات اللازمة وفقًا لذلك.

يتطلب هذا المشروع معرفة المفاهيم الأساسية في Javascript، مثل أنواع البيانات والحلقات والوظائف بالاضافة الي معرفة خطوات خط أنابيب البيانات الأساسية مثل التحويل والزيادة والتصفية والتجميع

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What's inside

Syllabus

ملخص المشروع
يهدف هذا المشروع الارشادي الى تعليم مهندسي البيانات كيفية إنشاء خط بيانات شامل في الوقت الفعلي باستخدام خدمات AWS. بنهاية هذا المشروع ، سيكتسب المتعلمون خبرة عملية في تدفق البيانات ومعالجتها وتخزينها من خلال إنشاء خط بيانات في الوقت الفعلي بالإضافة إلى تعلم أفضل الممارسات لتصميم وتنفيذ حلول هندسة بيانات فعالة من حيث التكلفة على AWS باستخدام AWS Kinesis و Lambda و Amazon S3.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
يعلم مهندسي البيانات كيفية إنشاء خط بيانات شامل في الوقت الفعلي باستخدام خدمات AWS
يُعقد عبر مزود كورسيرا
مناسب لمهندسي البيانات الذين يرغبون في تعلم خطوط أنابيب البيانات
يتكون من خط بيانات يهدف إلى تدفق بيانات الأسهم مثل الأسعار وتسليمها لعملاء الشركة
يتطلب معرفة المفاهيم الأساسية في Javascript، مثل أنواع البيانات والحلقات والوظائف
يغطي موضوعات متقدمة مثل دفق البيانات ومعالجتها وتخزينها باستخدام خدمات AWS

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in خطوط البيانات مع AWS: أنشئ خط بيانات في الوقت الفعلي with these activities:
Reach out to professionals in the field of data engineering
Connecting with experienced professionals can provide valuable insights, career advice, and potential collaboration opportunities.
Show steps
  • Identify data engineers or data scientists on LinkedIn or other professional networking platforms
  • Send personalized connection requests and messages
  • Request informational interviews to learn about their experiences and career paths
Join a study group or online forum for data engineering
Engaging with peers provides an opportunity to share knowledge, ask questions, and reinforce concepts learned in the course.
Show steps
  • Search for data engineering study groups or forums online
  • Join a group that aligns with your interests and skill level
  • Participate in discussions, ask questions, and share your experiences
Attend a workshop on cloud data engineering
Attending a workshop will provide hands-on experience and in-depth knowledge of cloud data engineering technologies, complementing the course material.
Browse courses on Cloud Data Engineering
Show steps
  • Research and identify workshops on cloud data engineering
  • Register for a workshop that fits your schedule and interests
  • Attend the workshop and actively participate in the sessions
Three other activities
Expand to see all activities and additional details
Show all six activities
Review AWS Kinesis and Lambda documentation
Understanding the basics of AWS Kinesis and Lambda will provide a strong foundation for building the real-time data pipeline in this course.
Browse courses on AWS Kinesis
Show steps
  • Visit the AWS Kinesis documentation: https://docs.aws.amazon.com/kinesis/
  • Visit the AWS Lambda documentation: https://docs.aws.amazon.com/lambda/
  • Review the concepts of streams, shards, and producers in Kinesis
  • Understand the purpose and functionality of Lambda functions
Create a simple Node.js Lambda function
Hands-on experience in creating a Lambda function will reinforce the concepts learned in the course and facilitate troubleshooting.
Browse courses on Node.js
Show steps
  • Create a new Node.js project using your preferred IDE or command line
  • Install the AWS SDK for Node.js
  • Write a simple Lambda function that logs a message
  • Deploy the function to AWS Lambda
  • Test the function by invoking it
Design and implement a data pipeline using AWS Kinesis and Lambda
Building a data pipeline from scratch will provide a comprehensive understanding of the course material and its practical application.
Browse courses on Data Pipeline
Show steps
  • Gather requirements and define the data flow
  • Create a Kinesis stream and configure its properties
  • Create a Lambda function to process the data
  • Deploy the pipeline and test its functionality
  • Monitor and troubleshoot the pipeline

Career center

Learners who complete خطوط البيانات مع AWS: أنشئ خط بيانات في الوقت الفعلي will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers design, build, and maintain the infrastructure and tools that enable data scientists and analysts to access and analyze data. This course provides a solid foundation in the AWS services used for data engineering, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to build and manage data pipelines that can process and analyze large volumes of data in real time.
Data Architect
Data Architects design and implement the architecture for data management systems. This course provides a comprehensive overview of the AWS services used for data architecture, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the knowledge and skills needed to design and implement data pipelines that can meet the needs of your organization.
Data Scientist
Data Scientists use data to build models that can predict future outcomes. This course provides a solid foundation in the AWS services used for data science, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to build and deploy models that can help your organization make better decisions.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course provides a solid foundation in the AWS services used for machine learning, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to build and deploy machine learning models that can help your organization solve complex problems.
Cloud Architect
Cloud Architects design and implement cloud-based solutions. This course provides a comprehensive overview of the AWS services used for cloud architecture, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the knowledge and skills needed to design and implement cloud-based solutions that can meet the needs of your organization.
Software Engineer
Software Engineers design, build, and maintain software applications. This course provides a solid foundation in the AWS services used for software development, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to build and deploy software applications that can scale to meet the demands of your users.
Database Administrator
Database Administrators design, build, and maintain databases. This course provides a comprehensive overview of the AWS services used for database management, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the knowledge and skills needed to design and implement database solutions that can meet the needs of your organization.
Systems Engineer
Systems Engineers design, build, and maintain computer systems. This course provides a comprehensive overview of the AWS services used for systems engineering, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the knowledge and skills needed to design and implement computer systems that can meet the needs of your organization.
Network Engineer
Network Engineers design, build, and maintain computer networks. This course provides a comprehensive overview of the AWS services used for network engineering, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the knowledge and skills needed to design and implement computer networks that can meet the needs of your organization.
Security Engineer
Security Engineers design, build, and maintain computer security systems. This course provides a comprehensive overview of the AWS services used for security engineering, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the knowledge and skills needed to design and implement computer security systems that can meet the needs of your organization.
Sales Engineer
Sales Engineers help customers understand and purchase technical products. This course provides a solid foundation in the AWS services used for sales engineering, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to help customers understand and purchase technical products that can meet their needs.
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. This course provides a solid foundation in the AWS services used for business analysis, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to analyze business needs and develop solutions that can help your organization achieve its goals.
Product Manager
Product Managers define and manage the development of products. This course provides a solid foundation in the AWS services used for product management, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to define and manage the development of products that meet the needs of your customers.
Technical Writer
Technical Writers create documentation for technical products. This course provides a solid foundation in the AWS services used for technical writing, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to create documentation that is clear, concise, and easy to understand.
Project Manager
Project Managers plan and manage projects. This course provides a solid foundation in the AWS services used for project management, such as AWS Kinesis, Lambda, and Amazon S3. By completing this course, you will gain the skills needed to plan and manage projects that can deliver successful outcomes.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in خطوط البيانات مع AWS: أنشئ خط بيانات في الوقت الفعلي.
This commonly used textbook that is good for understanding the concepts of building scalable data-intensive applications.
A comprehensive guide to data engineering principles and practices, leveraging AWS technologies. Provides a holistic view of data pipelines, from data acquisition to storage and analytics.
A comprehensive guide to Apache Spark, a popular open-source data processing framework. Provides advanced techniques and best practices for building scalable and performant data pipelines.
A Java-focused guide to big data analytics, covering data processing, storage, and analytics techniques. Provides a strong foundation for understanding the principles and practices of data pipelines.
A comprehensive and up-to-date guide to Hadoop, including its ecosystem of tools and technologies. Provides a solid foundation for understanding data processing and storage in the big data landscape.

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