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SKU/Artículo: AMZ-B0GDV1JM9L
Cloud Computing for Data Lakes: Storing and Processing Massive Datasets in the Cloud
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.47 kg
0.47 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Stop Drowning in Data. Start Building a Lake of Opportunity.In the age of AI and analytics, data is your most valuable asset—but only if you can store, access, and process it effectively. Traditional on-premise warehouses are crumbling under the weight of terabytes and petabytes. The future is the Cloud Data Lake.Cloud Computing for Data Lakes is the comprehensive blueprint for data engineers, architects, and technical leads who need to tame massive datasets. This book cuts through the marketing buzzwords to provide a rigorous, technical guide on architecting scalable, cost-effective, and secure data environments using modern cloud infrastructure.Whether you are migrating from a legacy Hadoop cluster or building a greenfield architecture on AWS, Azure, or Google Cloud, this guide will show you how to separate compute from storage to unlock infinite scalability.Inside, you will discover how to:Design for Scale: Architect robust object storage layers (S3, ADLS, GCS) that handle exponential data growth without breaking the bank.Process at Speed: Master distributed processing frameworks like Apache Spark and Presto to crunch numbers in seconds, not hours.Automate Pipelines: Build resilient ETL and ELT workflows using serverless functions and orchestration tools like Airflow.Govern Your Data: Implement strict access controls, cataloging, and lineage tracking to ensure your swamp doesn't turn into a toxic dump.Optimize Costs: Learn the nuances of hot/cold storage tiers and spot instances to reduce your cloud bill by up to 40%.Your data is waiting to tell you a story. Give it the infrastructure it deserves.Scroll up, click "Buy Now," and architect the ultimate data foundation today!
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U$S 52,48
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