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 Leeds or in NobleProg corporate training centers in Leeds.
NobleProg -- Your Local Training Provider
Leeds
No 2 Wellington Place, Leeds, united kingdom, LS1 4AP
This centre is positioned in the middle of Leeds in Wellington Place, which covers 21 acres and will ultimately provide ov...
This centre is positioned in the middle of Leeds in Wellington Place, which covers 21 acres and will ultimately provide over three million square feet of offices, residential, hotel, retail and leisure facilities. Extensive River frontage, inspiring public spaces and piazzas and galleries add to its appeal. This development on a grand scale is designed to act as a catalyst for securing Leeds' status as the country's second commercial centre. The vision is to provide an environment that will draw the businesses of the future to this already thriving city. Leeds is already the UK's largest centre for financial and business services outside London with over 30 national and international banks based in the city. Over 120,000 people are employed in knowledge-intensive occupations, making it the largest centre outside the capital for knowledge-based industries, too. It is also known as a top legal centre and has the country's third largest manufacturing base.
This instructor-led, live training in Leeds (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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