A01=Donna Wrobel
A01=Jay Borthen
Author_Donna Wrobel
Author_Jay Borthen
Category=UNC
Data integration streaming data CDC ETLELT data warehouse data lake data catalog Confluent Kafka Qlik Snowflake Informatica MySQL Postgres
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Product details
- ISBN 9781098173067
- Dimensions: 178 x 232mm
- Publication Date: 07 Nov 2025
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
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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
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, the FDA, the US Navy, the US Department of State, 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.
