Online or onsite, instructor-led live Apache Airflow training courses demonstrate through interactive hands-on practice how to use Apache Airflow to build and manage end-to-end data pipelines.
Apache Airflow 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 Airflow training can be carried out locally on customer premises in Lithuania or in NobleProg corporate training centers in Lithuania.
NobleProg -- Your Local Training Provider
Testimonials
I really was benefit from the willingness of the trainer to share more.
Balaram Chandra Paul
Course: A practical introduction to Data Analysis and Big Data
I generally was benefit from the presentation of technologies.
Continental AG / Abteilung: CF IT Finance
Course: A practical introduction to Data Analysis and Big Data
Overall the Content was good.
Sameer Rohadia
Course: A practical introduction to Data Analysis and Big Data
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
I really enjoyed the introduction of new packages.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
The tutor, Mr. Michael An, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
The example and training material were sufficient and made it easy to understand what you are doing.
Teboho Makenete
Course: Data Science for Big Data Analytics
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.
Jamie Martin-Royle - NBrown Group
Course: From Data to Decision with Big Data and Predictive Analytics
The content, as I found it very interesting and think it would help me in my final year at University.
Krishan Mistry - NBrown Group
Course: From Data to Decision with Big Data and Predictive Analytics
I generally liked the fernando's knowledge.
Valentin de Dianous - Informatique ProContact INC.
Course: Big Data Architect
The broad coverage of the subjects
Roche
Course: Big Data Storage Solution - NoSQL
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Course: Data Science for Big Data Analytics
R programming
Osden Jokonya - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
Practical exercises
JOEL CHIGADA - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
the scope of material
Maciej Jonczyk
Course: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
systematizing knowledge in the field of ML
Orange Polska
Course: From Data to Decision with Big Data and Predictive Analytics
Machine Translated
Apache Airflow Course Outlines in Lithuania
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This instructor-led, live training in Lithuania (online or onsite) is aimed at data scientists who wish to use Apache Airflow to build and manage end-to-end data pipelines.
By the end of this training, participants will be able to:
- Install and configure Apache Airflow.
- Author, schedule and monitor complex data pipelines
- Manage many ETLs (Extract, extract, Transform, Load).
- Scale and secure Apache Airflow.
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