Building Data Analytics Solutions using Amazon Redshift

تعامَل عملياً مع Amazon Redshift مستودعاً سحابياً لبياناتك. تتعرّف إلى البنية، وتحمّل البيانات وتنمذجها وتستعلم عنها، وتستخدم Spectrum والاستعلامات الموحّدة، وتدير الأمن والمراقبة والتكلفة.

يوم واحدمتوسط8 وحدات

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

Understand Amazon Redshift architecture, key components and node types
Load, model, and query data with Redshift SQL
Use Redshift Spectrum and federated queries for external access
Apply cost management to enhance Redshift performance and efficiency

المنهاج

8 وحدات

Explore common use cases for data analytics
Understand how the data pipeline supports analytics at scale

Learn why Amazon Redshift is used for cloud data warehousing
Get an overview of Amazon Redshift’s core capabilities

Understand the architecture and components of Amazon Redshift
Interactive Demo 1: Navigate the Amazon Redshift console
Explore key Redshift features and functionalities
Practice Lab 1: Load and query data in a Redshift cluster

Discover methods for ingesting data into Amazon Redshift
Interactive Demo 2: Connect to a Redshift cluster using a Jupyter notebook with the Data API
Learn how Redshift handles data distribution and storage
Interactive Demo 3: Work with semi-structured data using the SUPER data type
Explore how Redshift supports efficient querying across storage types
Practice Lab 2: Analyze data using Amazon Redshift Spectrum

Perform data transformations using SQL in Amazon Redshift
Apply advanced querying techniques for complex analytics workloads
Practice Lab 3: Transform and analyze data in Redshift
Manage resources with workload management (WLM) features
Interactive Demo 4: Apply mixed workload management settings
Automate and optimize performance in Redshift environments
Interactive Demo 5: Resize clusters from dc2.large to ra3.xlplus

Implement best practices for securing your Redshift cluster
Monitor cluster performance and troubleshoot issues effectively

Review real-world data warehouse scenarios
Activity: Design a modern analytics workflow using Redshift

Examine patterns for building modern data architectures on AWS
Understand how Redshift fits into broader analytics and data lake ecosystems
Explore how Redshift integrates with machine learning tools like Amazon SageMaker for predictive insights

لمن هذه الدورة

مهندسو البيانات ومطوّرو ذكاء الأعمال والمحلّلون.