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SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.
Written by seasoned data experts Rui Machado, Hélder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems.
- Use SQL to design and deploy modern, end-to-end data architectures
- Integrate SQL with data lakes, stream processing, and cloud platforms
- Apply SQL in feature engineering and ML model deployment
- Master pipe syntax and other advanced query features
- Leverage SQL to build GenAI-ready data applications and pipelines
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Über die Autorin bzw. den Autor
Rui Machado is a VP of Data Engineering at H&M Group. He has over a decade of experience in the architecture and implementation of data warehouses, data lakes, and decision support systems in industries such as retail, ecommerce, supply chain, healthcare, and social networks. Rui has led Engineering and Analytics teams at Jumia, Nike, and Facebook and is the coauthor of Analytics Engineering with dbt and SQL.
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Advanced SQL (Paperback)
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Paperback. Zustand: new. Paperback. SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems.Use SQL to design and deploy modern, end-to-end data architecturesIntegrate SQL with data lakes, stream processing, and cloud platformsApply SQL in feature engineering and ML model deploymentMaster pipe syntax and other advanced query featuresLeverage SQL to build GenAI-ready data applications and pipelines Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798341627482
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Advanced SQL: Implementing Modern Data Solutions and ML Applications
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Paperback. Zustand: New. SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems.Use SQL to design and deploy modern, end-to-end data architecturesIntegrate SQL with data lakes, stream processing, and cloud platformsApply SQL in feature engineering and ML model deploymentMaster pipe syntax and other advanced query featuresLeverage SQL to build GenAI-ready data applications and pipelines. Bestandsnummer des Verkäufers LU-9798341627482
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Paperback. Zustand: New. SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems.Use SQL to design and deploy modern, end-to-end data architecturesIntegrate SQL with data lakes, stream processing, and cloud platformsApply SQL in feature engineering and ML model deploymentMaster pipe syntax and other advanced query featuresLeverage SQL to build GenAI-ready data applications and pipelines. Bestandsnummer des Verkäufers LU-9798341627482
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Paperback. Zustand: new. Paperback. SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems.Use SQL to design and deploy modern, end-to-end data architecturesIntegrate SQL with data lakes, stream processing, and cloud platformsApply SQL in feature engineering and ML model deploymentMaster pipe syntax and other advanced query featuresLeverage SQL to build GenAI-ready data applications and pipelines Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798341627482
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Taschenbuch. Zustand: Neu. Neuware -SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms. Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems. - Use SQL to design and deploy modern, end-to-end data architectures - Integrate SQL with data lakes, stream processing, and cloud platforms - Apply SQL in feature engineering and ML model deployment - Master pipe syntax and other advanced query features - Leverage SQL to build GenAI-ready data applications and pipelines 300 pp. Englisch. Bestandsnummer des Verkäufers 9798341627482
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Taschenbuch. Zustand: Neu. Neuware -SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms. Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems. - Use SQL to design and deploy modern, end-to-end data architectures - Integrate SQL with data lakes, stream processing, and cloud platforms - Apply SQL in feature engineering and ML model deployment - Master pipe syntax and other advanced query features - Leverage SQL to build GenAI-ready data applications and pipelines 300 pp. Englisch. Bestandsnummer des Verkäufers 9798341627482
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Taschenbuch. Zustand: Neu. Neuware -SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms. Written by seasoned data experts Rui Machado, He lder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems. - Use SQL to design and deploy modern, end-to-end data architectures - Integrate SQL with data lakes, stream processing, and cloud platforms - Apply SQL in feature engineering and ML model deployment - Master pipe syntax and other advanced query features - Leverage SQL to build GenAI-ready data applications and pipelines. Bestandsnummer des Verkäufers 9798341627482
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