東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Snowflake recipes = a problem-soluti...

Dayton, Dillon.

Linked to FindBook

Google Book

Amazon

博客來

Snowflake recipes = a problem-solution approach to implementing modern data pipelines /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Snowflake recipes/ by Dillon Dayton, John Eipe.
Reminder of title:	a problem-solution approach to implementing modern data pipelines /
Author:	Dayton, Dillon.
other author:	Eipe, John.
Published:	Berkeley, CA :Apress : : 2024.,
Description:	xvi, 404 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter 1: Introduction to Snowflake -- Chapter 2: Bringing Your Data into Snowflake -- Chapter 3: Handling Atypical Data -- Chapter 4: Data Security and Privacy -- Chapter 5: Handling Near and Real Time Data -- Chapter 6: Programmable Data Pipelines -- Chapter 7: Data Reusability and Monetization -- Chapter 8: Data Recovery and Protection -- Chapter 9: Applications Integration -- Chapter 10: Machine Learning.
Contained By:	Springer Nature eBook
Subject:	Cloud computing. -
Online resource:	https://doi.org/10.1007/979-8-8688-0938-5
ISBN:	9798868809385

Snowflake recipes = a problem-solution approach to implementing modern data pipelines /
Dayton, Dillon.

Snowflake recipesa problem-solution approach to implementing modern data pipelines /[electronic resource] :by Dillon Dayton, John Eipe. - Berkeley, CA :Apress :2024. - xvi, 404 p. :ill. (some col.), digital ;24 cm.

Chapter 1: Introduction to Snowflake -- Chapter 2: Bringing Your Data into Snowflake -- Chapter 3: Handling Atypical Data -- Chapter 4: Data Security and Privacy -- Chapter 5: Handling Near and Real Time Data -- Chapter 6: Programmable Data Pipelines -- Chapter 7: Data Reusability and Monetization -- Chapter 8: Data Recovery and Protection -- Chapter 9: Applications Integration -- Chapter 10: Machine Learning.

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. You will: 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.

ISBN: 9798868809385

Standard No.: 10.1007/979-8-8688-0938-5doiSubjects--Uniform Titles:

Snowflake (Electronic resource)
Subjects--Topical Terms:

1016782
Cloud computing.

LC Class. No.: QA76.585 / .D39 2024

Dewey Class. No.: 004.6782

Snowflake recipes = a problem-solution approach to implementing modern data pipelines /
LDR:02936nmm a2200325 a 4500 001 2389410
003 DE-He213
005 20241220115507.0
006 m d
007 cr nn 008maaau
008 250916s2024 cau s 0 eng d
020 $a 9798868809385 $q (electronic bk.)
020 $a 9798868809378 $q (paper)
024 7 $a 10.1007/979-8-8688-0938-5 $2 doi
035 $a 979-8-8688-0938-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.585 $b .D39 2024
072 7 $a UTC $2 bicssc
072 7 $a COM091000 $2 bisacsh
072 7 $a UTC $2 thema
082 0 4 $a 004.6782 $2 23
090 $a QA76.585 $b .D276 2024
100 1 $a Dayton, Dillon. $3 3755065
245 1 0 $a Snowflake recipes $h [electronic resource] : $b a problem-solution approach to implementing modern data pipelines / $c by Dillon Dayton, John Eipe.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2024.
300 $a xvi, 404 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction to Snowflake -- Chapter 2: Bringing Your Data into Snowflake -- Chapter 3: Handling Atypical Data -- Chapter 4: Data Security and Privacy -- Chapter 5: Handling Near and Real Time Data -- Chapter 6: Programmable Data Pipelines -- Chapter 7: Data Reusability and Monetization -- Chapter 8: Data Recovery and Protection -- Chapter 9: Applications Integration -- Chapter 10: Machine Learning.
520 $a 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. You will: 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.
630 0 0 $a Snowflake (Electronic resource) $3 3591358
650 0 $a Cloud computing. $3 1016782
650 1 4 $a Cloud Computing. $3 3231328
650 2 4 $a Python. $3 3201289
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Eipe, John. $3 3755066
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-0938-5
950 $a Professional and Applied Computing (SpringerNature-12059)