Building Data Lakes on AWS

أنشئ بحيرة بيانات حديثة على AWS، من استقبال البيانات إلى لوحات المعلومات. تستقبل البيانات وتفهرسها وتُعدّها باستخدام AWS Glue، وتؤمّنها بـ Lake Formation، وتستعلم عنها بـ Athena، وتعرض النتائج في QuickSight.

يوم واحدمتوسط6 وحدات

سجّل أو استفسر ←اسأل عبر واتساب

نظرة عامة

ما ستتعلّمه

المحتوى التقني أدناه معروضٌ باللغة الإنجليزية كما ورد في منهاج الدورة، حفاظاً على دقّة المصطلحات.

Identify the core components of a modern data lake architecture
Use AWS Lake Formation to build a data lake and manage access controls
Catalog and transform data with AWS Glue
Query datasets using Amazon Athena and visualize results with QuickSight

المنهاج

6 وحدات

Define what a data lake is and why it matters
Compare data lakes to traditional data warehouses
Break down the key components of a data lake architecture
Review several common data lake architectures used in AWS environments

Ingest structured and unstructured data into your data lake
Use AWS Glue crawlers to create a searchable data catalog
Apply data formatting, partitioning, and compression for efficient storage
Lab: Set up and populate a simple data lake

Process data within your AWS data lake using AWS Glue
Perform ad hoc queries using Amazon Athena
Explore real-time analytics use cases
Lab: Transform and query data sets

Use AWS Lake Formation to build a data lake from start to finish
Implement fine-grained access control and secure permissions
Understand the functionality of the services involved in creating a data lake
Lab: Build and secure your own AWS data lake

Automate data lake setup using Lake Formation blueprints
Create visual dashboards using Amazon QuickSight
Lab: Automate workflows and visualize data analytics results

Review key concepts and best practices
Take a final knowledge check to reinforce learning
Participate in a group discussion of data lake architecture strategies

لمن هذه الدورة

مهندسو البيانات والمعماريون الذين يصمّمون منصّات التحليل.

قبل أن تبدأ

Working knowledge of core AWS services and public cloud implementation
One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS