Online or onsite, instructor-led live Apache Druid training courses demonstrate through interactive hands-on practice how to perform data analysis using Druid.
Druid 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 Druid training can be carried out locally on customer premises in Strasbourg or in NobleProg corporate training centers in Strasbourg.
NobleProg -- Your Local Training Provider
Strasbourg, Kibitzenau Station
Le Lodge Business Center, 20 avenue du Neuhof , Strasbourg, France, 67100
Access: opposite the Kibitzenau streetcar station, in the ZFU.
Training can also be organized on your premises in Strasbou...
Access: opposite the Kibitzenau streetcar station, in the ZFU.
Training can also be organized on your premises in Strasbourg or remotely. The 3rd option is to rent a room specifically for the duration of the course.
Training sessions can be given in English or French. For each session, we organize a coordination call with the trainer and participants to adapt the program to your expectations and level. Training includes theory, discussion, questions/answers and practical exercises.
Remote training is delivered via DaDesktop for training, a software package published by NobleProg that enables participants to have a workstation (VM) set up specifically for the training.
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.
In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
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