Eric Tome, Rupam Bhattacharjee, David Radford

Data Engineering with Scala and Spark (eBook, PDF)

Build streaming and batch pipelines that process massive amounts of data using Scala

• Format: PDF

Produktbeschreibung

No detailed description available for "Data Engineering with Scala and Spark".

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Produktdetails

• Verlag: De Gruyter
• Seitenzahl: 300
• Erscheinungstermin: 14. Februar 2024
• Englisch
• ISBN-13: 9781804614327
• Artikelnr.: 69998344

Autorenporträt

Tome Eric :

Eric Tome has over 25 years of experience working with data. He has contributed to and led teams that ingested, cleansed, standardized, and prepared data used by business intelligence, data science, and operations teams. He has a background in mathematics and currently works as a senior solutions architect at Databricks, helping customers solve their data and AI challenges.Bhattacharjee Rupam :

Rupam Bhattacharjee works as a lead data engineer at IBM. He has architected and developed data pipelines, processing massive structured and unstructured data using Spark and Scala for on-premises Hadoop and K8s clusters on the public cloud. He has a degree in electrical engineering.Radford David :

David Radford has worked in big data for over 10 years, with a focus on cloud technologies. He led consulting teams for several years, completing a migration from legacy systems to modern data stacks. He holds a master's degree in computer science and works as a senior solutions architect at Databricks.