Online or onsite, instructor-led live Apache Beam training courses demonstrate through interactive hands-on practice how to implement the Apache Beam SDKs in a Java or Python application that defines a data processing pipeline for decomposing a big data set into smaller chunks for independent, parallel processing.
Apache Beam 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. Seoul onsite live Apache Beam trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Seoul - Gran Seoul
Jongno-gu, Tower 1, Gran Seoul, 33 Jong-ro, Spaces Gran Seoul, 7F, Seoul, korea, 01359
Gran Seoul is located on the 7th floor of 24-storey Gran Seoul Tower. The location is just a stone's throw away from Gwanghwa...
Gran Seoul is located on the 7th floor of 24-storey Gran Seoul Tower. The location is just a stone's throw away from Gwanghwamun, the largest gate of Gyeongbukgung Palace which is one of the most popular tourist attractions and national landmark in the heart of Seoul. Spaces Gran Seoul can be conveniently accessed by public transportation with Kwanghwamoon subway station located just 500 meters away and only a few minutes’ walk to Jonggak subway station. Also located nearby and within 15 minutes ride is Seoul Station where five lines of bullet train, subway, and airport train are started.
The Gran Seoul Tower is a grade-A commercial building combining office space, world class hotel, department store, major companies, finance enterprises, government offices and banks. Surrounded by historical and cultural facilities symbolizing Seoul’s pride, Gran Seoul is an ideal workspace for all businesses from start-ups to large international companies looking for established business location in the heart of Seoul's CBD.
Seoul Center 1
Jung-gu, 26, Eulji-ro 5-gil, 27/F, . West Center, Center1 Building, Seoul, korea, 04539
Center 1 is conveniently located at the core of Seoul's central business district (CBD). Center 1 is one of the most advanced...
Center 1 is conveniently located at the core of Seoul's central business district (CBD). Center 1 is one of the most advanced green building in Korea. Offers smartly landscaped park for rest and for a showcase of media technology as a front yard. It also features top class amenities such as prestigious retail shops and wide range of sophisticated restaurants (Italian, Japanese, Thai, Chinese, Korean, Indian, and Mexican) and breezy cafes. Business, dining, and shopping are under one roof at Center 1. Many financial institutions, investment banks, and insurance companies are located in close proximity, including the headquarter for the Bank of Korea. Seoul's political, public administration, media, cultural and economic venues are all within walking distance of Center 1. Also hotels, department stores and other amenities are within walking distance.
Apache Beam is an open source, unified programming model for defining and executing parallel data processing pipelines. It's power lies in its ability to run both batch and streaming pipelines, with execution being carried out by one of Beam's supported distributed processing back-ends: Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Apache Beam is useful for ETL (Extract, Transform, and Load) tasks such as moving data between different storage media and data sources, transforming data into a more desirable format, and loading data onto a new system.
In this instructor-led, live training (onsite or remote), participants will learn how to implement the Apache Beam SDKs in a Java or Python application that defines a data processing pipeline for decomposing a big data set into smaller chunks for independent, parallel processing.
By the end of this training, participants will be able to:
Install and configure Apache Beam.
Use a single programming model to carry out both batch and stream processing from withing their Java or Python application.
Execute pipelines across multiple environments.
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
This course will be available Scala in the future. Please contact us to arrange.
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