SKU/Artículo: AMZ-B0FRSXRJV6

Cloud Computing for Data Engineering: A Practical Guide to Building Your First Data Pipelines on AWS, GCP, and Azure (Cloud Data Engineering Series: Pipelines, Automation, and Modern Architectures)

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Fuera de stock

Peso con empaque:
0.33 kg

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No

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Nuevo

Producto de:
Amazon

Sobre este producto

Foundations of Cloud Data Engineering: Understand pipelines, scalability, and architectures across providers.
Core Services Across the Big Three: Explore S3, GCS, and Azure Data Lake for storage, alongside compute engines and cloud warehouses.
Building Your First Pipelines: Step-by-step projects on AWS (S3, Kinesis, Glue, Redshift), GCP (Pub/Sub, Dataflow, BigQuery), and Azure (Data Factory, Databricks, Synapse).
Orchestration and Real-Time Processing: Learn Airflow, Step Functions, Composer, Kafka, and event-driven pipelines.
Security, Governance, and Cost Optimization: Apply IAM, encryption, compliance, and budgeting best practices.
Advanced Scenarios: Design multi-cloud pipelines, handle interoperability with federated queries, and prepare for interviews with real-world questions.

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Cloud Computing for Data Engineering: A Practical Guide to Building Your First Data Pipelines on AWS, GCP, and Azure (Cloud Data Engineering Series: Pipelines, Automation, and Modern Architectures)

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Cloud Computing for Data Engineering: A Practical Guide to Building Your First Data Pipelines on AWS, GCP, and Azure (Cloud Data Engineering Series: Pipelines, Automation, and Modern Architectures)

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