E-Book, Englisch, 382 Seiten
MODENA Learning Hadoop 2
1. Auflage 2025
ISBN: 978-1-78328-552-5
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
E-Book, Englisch, 382 Seiten
ISBN: 978-1-78328-552-5
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Key FeaturesBook DescriptionIf you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.What you will learn - Write distributed applications using the MapReduce framework
- Go beyond MapReduce and process data in real time with Samza and iteratively with Spark
- Familiarize yourself with data mining approaches that work with very large datasets
- Prototype applications on a VM and deploy them to a local cluster or to a cloud infrastructure (Amazon Web Services)
- Conduct batch and real time data analysis using SQLlike tools
- Build data processing flows using Apache Pig and see how it enables the easy incorporation of custom functionality
- Define and orchestrate complex workflows and pipelines with Apache Oozie
- Manage your data lifecycle and changes over time
Who this book is forIf you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.
