Lokale, door instructeurs geleide live Apache Ignite-trainingscursussen demonstreren door middel van interactieve hands-on de principes van persistente en zuivere opslag in het geheugen en hoe een in-memory computing-project kan worden gemaakt. Apache Ignite training is beschikbaar als "live training op locatie" of "live training op afstand". Onsite live training kan lokaal worden uitgevoerd op het terrein van de klant in Nederland of in NobleProg bedrijfsopleidingscentra in Nederland . Live-training op afstand wordt uitgevoerd via een interactieve, externe desktop. NobleProg - uw lokale trainingsaanbieder
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Getuigenissen
Ik heb genoten van de goede balans tussen theorie en praktische labs ..
N. V. Nederlandse Spoorwegen
Cursus: Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing
Machine Translated
Ik had over het algemeen baat bij het beter begrijpen van Ignite ..
N. V. Nederlandse Spoorwegen
Cursus: Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing
Machine Translated
Ik vond vooral de goede lezingen leuk.
N. V. Nederlandse Spoorwegen
Cursus: Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing
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Apache Ignite Cursusoverzicht
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
Apache Ignite is an in-memory computing platform that sits between the application and data layer to improve speed, scale, and availability.
In this instructor-led, live training, participants will learn the principles behind persistent and pure in-memory storage as they step through the creation of a sample in-memory computing project.
By the end of this training, participants will be able to:
- Use Ignite for in-memory, on-disk persistence as well as a purely distributed in-memory database.
- Achieve persistence without syncing data back to a relational database.
- Use Ignite to carry out SQL and distributed joins.
- Improve performance by moving data closer to the CPU, using RAM as a storage.
- Spread data sets across a cluster to achieve horizontal scalability.
- Integrate Ignite with RDBMS, NoSQL, Hadoop and machine learning processors.
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.
In this instructor-led, live training, participants will learn the principles behind persistent and pure in-memory storage as they step through the creation of a sample in-memory computing project.
By the end of this training, participants will be able to:
- Use Ignite for in-memory, on-disk persistence as well as a purely distributed in-memory database.
- Achieve persistence without syncing data back to a relational database.
- Use Ignite to carry out SQL and distributed joins.
- Improve performance by moving data closer to the CPU, using RAM as a storage.
- Spread data sets across a cluster to achieve horizontal scalability.
- Integrate Ignite with RDBMS, NoSQL, Hadoop and machine learning processors.
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.
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