Cours de formation de Spark Streaming dirigé par un formateur sur place en direct á France.
Nos Clients témoignent
Rappelant/examinant les points clés des sujets abordés.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Formation: Building Stream Processing Applications with Kafka Streams
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Roxane Santiago - SMS Global Technologies Inc.
Formation: Building Stream Processing Applications with Kafka Streams
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Les exercices de laboratoire. Appliquer la théorie à partir du premier jour des jours suivants.
Dell
Formation: A Practical Introduction to Stream Processing
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Plans de cours Spark Streaming
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
7 hours
Aperçu
Apache Spark Streaming is a scalable, open source stream processing system that allows users to process real-time data from supported sources. Spark Streaming enables fault-tolerant processing of data streams.
This instructor-led, live training (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data.
By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data.
By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Prochains cours Spark Streaming
2021-04-09 09:30:00
7 heures
2021-04-09 09:30:00
7 heures
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