SKU/Artículo: AMZ-B0GLZNZHR1
DATA ENGINEERING WITH PYTHON & SQL - 2026 Edition: Build Scalable Data Pipelines in Modern Environments (Data Extreme USA)
Format:
Hardcover
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En stock
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0.46 kg
0.46 kg
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Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- DATA ENGINEERING WITH PYTHON & SQL – 2026 Edition: Build Scalable Data Pipelines in Modern EnvironmentsThis 2026 edition has been fully revised and structured according to the TECHWRITE 2.3 applied technical writing protocol, focused on scalability, conceptual precision, and practical applicability in professional environments, providing Common Error Resolution, Best Practices, and Strategic Summary in the main topics and chapters.Recommended for students and professionals seeking practical mastery in the construction, automation, and operation of data pipelines in corporate, cloud, and distributed environments. The book presents a technical and operational approach to modern data engineering, covering everything from ingestion and processing to scalable SQL queries, orchestration, and integration with analytical systems.The content explores the professional use of Python and SQL applied to data, with a focus on libraries, frameworks, and tools widely adopted in the market, such as pandas, numpy, sqlalchemy, pyspark, dask, Apache Airflow, dbt, as well as integration with databases, data lakes, APIs, and cloud platforms such as AWS and Google Cloud. Critical aspects of performance, versioning, data quality, automation, security, and governance are addressed.You will learn:Design and operate reliable data pipelines with Python and SQLWrite high-performance and scalable SQL queries for analytical environmentsAutomate and orchestrate data flows with Airflow and similar toolsIntegrate pipelines with data lakes, data warehouses, APIs, and external systemsApply versioning, testing, monitoring, and CI/CD practicesOperate data pipelines in cloud and distributed environmentsEnsure data quality, traceability, security, and governanceBy the end, you will be able to use Python and SQL as engineering tools, delivering robust, auditable data pipelines prepared for scale in analytical and corporate projects.
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AR$58.913
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AR$32.730
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