Online or onsite, instructor-led live Apache Kylin training courses demonstrate through interactive hands-on practice how to use Apache Kylin to set up a real-time data warehouse.
Apache Kylin 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 Kylin training can be carried out locally on customer premises in Trojmiasto or in NobleProg corporate training centers in Trojmiasto.
NobleProg -- Your Local Training Provider
Gdynia
Hotel Nadmorski, Ejsmonda 2, Gdynia, Poland, 81-409
The training room is located just 3 kilometers from the PKP/PKS Station in Gdynia, making it easily accessible for participants traveling by train or bus. Additionally, it is only 400 meters away from the bus stop, facilitating access even for those using public transportation. It is equipped with necessary training tools such as a projector, screen, and flipchart, providing comfortable conditions for both participants and the trainer.
Gdańsk
Hotel Fahrenheit, Grodzka 19, Gdańsk, Poland, 80-841
The training room is located in the very heart of the picturesque Gdansk Old Town, making the surroundings not only inspiring but also exceptionally attractive for participants. Within close proximity, you can find the railway and bus stations, facilitating arrival for those traveling by both train and bus. Additionally, the airport and port are also within reach, making this location convenient for individuals coming from distant places, both domestically and internationally.
This instructor-led, live training in Trojmiasto (online or onsite) is aimed at intermediate-level big data professionals who wish to utilize Apache Kylin for building real-time data warehouses and performing multidimensional analysis on large-scale datasets.By the end of this training, participants will be able to:
Set up and configure Apache Kylin with real-time streaming data sources.
Design and build OLAP cubes for both batch and streaming data.
Perform complex queries with sub-second latency using Kylin's SQL interface.
Integrate Kylin with BI tools for interactive data visualization.
Optimize performance and manage resources effectively in Kylin.
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