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Snowflake Recipes
Dillon Dayton, John Eipe (Broschiert, Englisch)
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Beschreibung
Explore Snowflake’s core concepts and unique features that differentiates it from industry competitors, such as, Azure Synapse and Google BigQuery. This book provides recipes for architecting and developing modern data pipelines on the Snowflake data platform by employing progressive techniques, agile practices, and repeatable strategies. You’ll walk through step-by-step instructions on… ready-to-use recipes covering a wide range of the latest development topics. Then build scalable development pipelines and solve specific scenarios common to all modern data platforms, such as, data masking, object tagging, data monetization, and security best practices. Throughout the book you’ll work with code samples for Amazon Web Services, Microsoft Azure, and Google Cloud Platform. There’s also a chapter devoted to solving machine learning problems with Snowflake. Authors Dillon Dayton and John Eipe are both Snowflake SnowPro Core certified, specializing in data and digital services, and understand the challenges of finding the right solution to complex problems. The recipes in this book are based on real world use cases and examples designed to help you provide quality, performant, and secured data to solve business initiatives. What You’ll Learn Handle structured and un- structured data in Snowflake. Apply best practices and different options for data transformation. Understand data application development. Implement data sharing, data governance and security. Who This book Is For Data engineers, scientists and analysts moving into Snowflake, looking to build data apps. This book expects basic knowledge in Cloud (AWS or Azure or GCP), SQL and Python 64,19 €
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Technische Daten
Erscheinungsdatum
20.12.2024
Sprache
Englisch
EAN
9798868809378
Herausgeber
APRESS
Sonderedition
Nein
Autor
Dillon Dayton, John Eipe
Seitenanzahl
404
Auflage
1
Einbandart
Broschiert
Buch Untertitel
A Problem-Solution Approach to Implementing Modern Data Pipelines
Schlagwörter
Snowflake, Data Ingestion, Unstructured Data, Security and Privacy, Snowpark, Cloning, Machine Learning, Enterprise Data Warehouse, Streaming Analytics, Cloud Native, Google Cloud Services, AWS, Microsoft Azure
Thema-Inhalt
UTC - Cloud Computing
UMX - Programmier- und Skriptsprachen, allgemein
UYQM - Maschinelles Lernen
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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