- Main
- Computers - Databases
- Stream Processing with Apache Spark:...
Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming
Gerard Maas, Francois GarillotQuanto ti piace questo libro?
Qual è la qualità del file?
Scarica il libro per la valutazione della qualità
Qual è la qualità dei file scaricati?
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.
Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API.
• Learn fundamental stream processing concepts and examine different streaming architectures
• Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail
• Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs
• Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms
• Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API.
• Learn fundamental stream processing concepts and examine different streaming architectures
• Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail
• Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs
• Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms
• Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
Categorie:
Anno:
2019
Edizione:
1
Casa editrice:
O’Reilly Media
Lingua:
english
Pagine:
452
ISBN 10:
1491944242
ISBN 13:
9781491944240
File:
EPUB, 4.44 MB
I tuoi tag:
IPFS:
CID , CID Blake2b
english, 2019
Il file verrà inviato al tuo indirizzo email. Ci vogliono fino a 1-5 minuti prima di riceverlo.
Entro 1-5 minuti il file verrà consegnato al tuo account Telegram.
Attenzione: assicurati di aver collegato il tuo account al bot Z-Library Telegram.
Entro 1-5 minuti il file verrà consegnato al tuo dispositivo Kindle.
Nota: devi verificare ogni libro che desideri inviare al tuo Kindle. Controlla la tua casella di posta per l'e-mail di verifica da Amazon Kindle Support.
La conversione in è in corso
La conversione in non è riuscita
Vantaggi dello status Premium
- Inviare a lettori di e-book
- Limite aumentato di download
- Converti i file
- Più risultati di ricerca
- Altri vantaggi