Online or onsite, instructor-led live Apache Ignite training courses demonstrate through interactive hands-on practice the principles behind persistent and pure in-memory storage and how to create an in-memory computing project.
Apache Ignite training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache Ignite training can be carried out locally on customer premises in Madrid or in NobleProg corporate training centers in Madrid.
NobleProg -- Your Local Training Provider
Madrid - Chamartín Business Area
NobleProg Madrid, Street Bausá 27, Madrid, spain, 28033
Madrid is a municipality and city of Spain is the most populated city of the country, with 3 165 235 inhabitants. On the econ...
Madrid is a municipality and city of Spain is the most populated city of the country, with 3 165 235 inhabitants. On the economic level, it is the fourth richest city in Europe, after London, Paris and Moscow. It is an influential cultural center and has museums of international reference, among which stand out the Prado Museum, the National Museum of Art Reina Sofia, Thyssen-Bornemisza and CaixaForum Madrid.
Being one of the largest cities in all of Spain and one of the most populated, it is characterized by having an extensive transport network consisting of rail, metro and bus lines, in addition to its airport.
Located in the business area of Chanmartin five minutes from Plaza Castilla and less than ten minutes from the airport Madrid Barajas and Madrid downtown area.
This instructor-led, live training in Madrid (online or onsite) is aimed at developers who wish to 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.
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