Το τοπικό εκπαιδευτικό πρόγραμμα Apache Ignite με καθοδηγητή από τοπικούς εκπαιδευτές αποδεικνύει, μέσω διαδραστικής πρακτικής άσκησης, τις αρχές πίσω από την επίμονη και καθαρή αποθήκευση μέσα στην μνήμη και τον τρόπο δημιουργίας ενός έργου υπολογιστικής μνήμης. Η εκπαίδευση Apache Ignite είναι διαθέσιμη ως "onsite live training" ή "remote live training". Η επιτόπια κατάρτιση σε πραγματικό χρόνο μπορεί να πραγματοποιηθεί σε τοπικό επίπεδο στις εγκαταστάσεις του πελάτη Ελλάδα ή σε εταιρικά κέντρα κατάρτισης NobleProg στο Ελλάδα . Η απομακρυσμένη ζωντανή προπόνηση πραγματοποιείται μέσω μιας διαδραστικής, απομακρυσμένης επιφάνειας εργασίας. NobleProg - Ο τοπικός παροχέας εκπαίδευσης
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Testimonials
Μου άρεσε η καλή ισορροπία μεταξύ θεωρίας και πρακτικών εργαστηρίων.
N. V. Nederlandse Spoorwegen
Course: Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing
Machine Translated
Εγώ γενικά επωφελήθηκα από την καλύτερη κατανόηση του Ignite ..
N. V. Nederlandse Spoorwegen
Course: Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing
Machine Translated
Μου άρεσε περισσότερο οι καλές διαλέξεις.
N. V. Nederlandse Spoorwegen
Course: Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing
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Exercises.
David Lehotak - NVision Czech Republic ICT a.s.
Course: Apache Ignite for Developers
Apache Ignite Course Outlines
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.
Upcoming Ignite Courses
2020-11-25 09:30:00
14 hours
2020-12-10 09:30:00
14 hours
2021-01-14 09:30:00
14 hours
2021-03-09 09:30:00
14 hours
2021-05-11 09:30:00
14 hours
Other countries
Consulting
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