Saxena Learning Real-time Analytics with Storm and Cassandra

Solve real-time analytics problems effectively using Storm and Cassandra
1. Auflage 2025
ISBN: 978-1-78439-000-6
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 220 Seiten

Key FeaturesBook DescriptionIf you want to efficiently use Storm and Cassandra together and excel at developing production-grade, distributed real-time applications, then this book is for you. No prior knowledge of using Storm and Cassandra together is necessary. However, a background in Java is expected.What you will learn - Integrate Storm applications with RabbitMQ for realtime analysis and processing of messages
- Monitor highly distributed applications using Nagios
- Integrate the Cassandra data store with Storm
- Develop and maintain distributed Storm applications in conjunction with Cassandra and In Memory Database (memcache)
- Build a Trident topology that enables realtime computing with Storm
- Tune performance for Storm topologies based on the SLA and requirements of the application
- Use Esper with the Storm framework for rapid development of applications
Who this book is forIf you want to efficiently use Storm and Cassandra together and excel at developing production-grade, distributed real-time applications, then this book is for you. No prior knowledge of using Storm and Cassandra together is necessary. However, a background in Java is expected.

Autoren/Hrsg.

Saxena, Shilpi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Über Autor(innen)

Saxena Shilpi :

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.