Building Data Integration Solutions: Unifying Data for Enhanced Decision Making - Couverture souple

Borthen, Jay

 
9781098173067: Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
Couverture souple
ISBN 10 : 1098173066 ISBN 13 : 9781098173067
Editeur : O'Reilly Media, 2025

Synopsis

Are you struggling to manage and make sense of the vast streams of data flowing into your organization? In today's data-driven world, the ability to effectively unify and organize disparate data sources is not just an advantage--it's a necessity. The challenge lies in navigating the complexities of data diversity, volume, and regulatory demands, which can overwhelm even the most seasoned data professionals.

In this essential book, Jay Borthen offers a comprehensive guide to understanding the art of data integration. This book dives deep into the processes and strategies necessary for creating effective data pipelines that ensure consistency, accuracy, and accessibility of your data. Whether you're a novice looking to understand the basics or an experienced professional aiming to refine your skills, Borthen's insights and practical advice, grounded in real-world case studies, will empower you to transform your organization's data handling capabilities. You will:

  • Understand various data integration solutions and how different technologies can be employed
  • Gain insights into the relationship between data integration and the overall data lifecycle
  • Learn to effectively design, set up, and manage data integration components within pipelines
  • Acquire the knowledge to configure pipelines, perform data migrations, transformations, and more

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Jay Borthen is the Head of Data Science and Engineering at Swish Data. After graduate school, he migrated from Engineering into Data Science specific roles and has since worked with clients including the IRS, FDA, the US Navy, the US State Department, and a handful of commercial enterprises. Jay has almost 20 years of experience analyzing complex systems, leading tech teams, and leveraging technologies, such as AWS, Databricks, Kafka/Confluent, Qlik, and Snowflake. He has an undergraduate degree in Engineering from Virginia Tech and a master's degree in Mathematics and Statistics from Georgetown University.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2025
Langue
anglais
ISBN 10 
1098173066
ISBN 13 
9781098173067
Reliure
Broché
Nombre de pages
274
Coordonnées du fabricant
O'Reilly
https://oreilly.com

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Personne responsable
non disponible