Get in Touch

Beijing - Parkview Green

QiaoFu FangCaoDi , No. 9 Dongdaqiao Road, Chaoyang District, Beijing, China

Located on the west side of Dongdaqiao Road, Chaoyang District, Beijing, close to the core area of ​​Beijing CBD, with a total area of ​​200,000 square meters, it is an innovative building integrating top office buildings, fashion shopping centers, art centers and boutique hotels. Based on the rich international atmosphere and advantageous location of Fangcao Parkview Green is committed to creating a diverse business and cultural leisure complex that has become a new composite lifestyle in Beijing style and high quality. Its leading environmental design, sustainable development concept and rich and diverse artistic atmosphere constitute the unique features of Parkview Green, which brings a unique and unique experience to every visitor.

Beijing - Creative building

6/F, 15# Wanquanzhuang Str. Haidian district 6/F, Beijing, China, 100000

Creative building is located the centre of Haidian distrect. There is a direct bus to Zhong guancun and Yuanmingyuan Park. There are shoppingmalls, hosiptal and Schools. 10-15 mins from subway. We have independent office for 2 or 10 persons, and also public areas, meeting rooms ect.

New Oriental Plaza

Haidian Zhong Jie No.6, Beijing, China, 100080

New Oriental Plaza locates in the core of Zhong Guan Cun area in Beijing. The place is stationed many major educational organizations.

Beijing - Chaoyang Guomao III

15/F, 15/F China World Trade Center Tower 3, 1 Jianguomenwai Avenue, Beijing, China, 100004

The Beijing China World Trade Centre (CWTC) is in one of the most prestigious buildings in Beijing, in the middle of the central business area. Situated in CWTC Tower III, this ultra tall landmark building has 74 floors. Most of the building is taken up with offices but there is also a five-star hotel on the upper floors and retail units on the lower floors. The central business district, which is a hub for both business and culture, is home to several multinational companies working in finance, insurance, trade, telecoms and IT. Situated on the 15th floor, there are excellent views over the city from some of the centre's offices. The building's location beside East Changan Avenue is convenient for access to Tiananmen Square's government offices and to the Forbidden City, the historical home of China's emperors which is now a World Heritage Site.

Beijing Pacific Century Place

gong ren ti yu chang Bei street 2#, Beijing, China, 100027

Pacific Century Center is located in the central business district of prime locations, is favored by the major business of the popular business address. The Regus office is located on the 14th floor of this high-rise building and some rooms have views of the capital. This is an important international financial center, where many well-known domestic companies and multinational companies in information technology, consulting, telecommunications and services are located in this central business district. There are many foreign embassies nearby. You can reach museums, concert halls and theaters from the Pacific Century Center. Sanlitun bar a street is also close.

Subcategories (1)

PySpark

PySpark

Explore Our Courses

Big Data Analytics with Google Colab and Apache Spark

 14 Hours

This instructor-led, live training in Beijing (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

By the end of this training, participants will be able to:

  • Set up a big data environment using Google Colab and Spark.
  • Process and analyze large datasets efficiently with Apache Spark.
  • Visualize big data in a collaborative environment.
  • Integrate Apache Spark with cloud-based tools.
Read more...

Stratio: Rocket and Intelligence Modules with PySpark

 14 Hours

Stratio is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics in enterprise environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to use the Rocket and Intelligence modules in Stratio effectively with PySpark, focusing on looping structures, user-defined functions, and advanced data logic.

By the end of this training, participants will be able to:

  • Navigate and work within the Stratio platform using Rocket and Intelligence modules.
  • Apply PySpark in the context of data ingestion, transformation, and analysis.
  • Use loops and conditional logic to control data workflows and feature engineering tasks.
  • Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Python, Spark, and Hadoop for Big Data

 21 Hours

This instructor-led, live training in Beijing (online or onsite) is aimed at developers who wish to use and integrate Spark, Hadoop, and Python to process, analyze, and transform large and complex data sets.

By the end of this training, participants will be able to:

  • Set up the necessary environment to start processing big data with Spark, Hadoop, and Python.
  • Understand the features, core components, and architecture of Spark and Hadoop.
  • Learn how to integrate Spark, Hadoop, and Python for big data processing.
  • Explore the tools in the Spark ecosystem (Spark MlLib, Spark Streaming, Kafka, Sqoop, Kafka, and Flume).
  • Build collaborative filtering recommendation systems similar to Netflix, YouTube, Amazon, Spotify, and Google.
  • Use Apache Mahout to scale machine learning algorithms.
Read more...

Administration of Apache Spark

 35 Hours

This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level system administrators who wish to deploy, maintain, and optimize Spark clusters.

By the end of this training, participants will be able to:

  • Install and configure Apache Spark in various environments.
  • Manage cluster resources and monitor Spark applications.
  • Optimize the performance of Spark clusters.
  • Implement security measures and ensure high availability.
  • Debug and troubleshoot common Spark issues.
Read more...

Python and Spark for Big Data (PySpark)

 21 Hours

In this instructor-led, live training in Beijing, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.

By the end of this training, participants will be able to:

  • Learn how to use Spark with Python to analyze Big Data.
  • Work on exercises that mimic real world cases.
  • Use different tools and techniques for big data analysis using PySpark.
Read more...

PySpark and Machine Learning

 21 Hours

This training provides a practical introduction to building scalable data processing and Machine Learning workflows using PySpark. Participants learn how Apache Spark operates within modern Big Data ecosystems and how to efficiently process large datasets using distributed computing principles.

Read more...

Apache Spark Fundamentals

 21 Hours

This instructor-led, live training in Beijing (online or onsite) is aimed at engineers who wish to set up and deploy Apache Spark system for processing very large amounts of data.

By the end of this training, participants will be able to:

  • Install and configure Apache Spark.
  • Quickly process and analyze very large data sets.
  • Understand the difference between Apache Spark and Hadoop MapReduce and when to use which.
  • Integrate Apache Spark with other machine learning tools.
Read more...

Apache Spark in the Cloud

 21 Hours

Apache Spark's learning curve is slowly increasing at the begining, it needs a lot of effort to get the first return. This course aims to jump through the first tough part. After taking this course the participants will understand the basics of Apache Spark , they will clearly differentiate RDD from DataFrame, they will learn Python and Scala API, they will understand executors and tasks, etc.  Also following the best practices, this course strongly focuses on cloud deployment, Databricks and AWS. The students will also understand the differences between AWS EMR and AWS Glue, one of the lastest Spark service of AWS.  

AUDIENCE:

Data Engineer, DevOps, Data Scientist

Read more...

Last Updated:

Testimonials (3)

I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.

Aurelia-Adriana - Allianz Services Romania

Course - Python and Spark for Big Data (PySpark)

The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.

Raul Mihail Rat - Accenture Industrial SS

Course - Python, Spark, and Hadoop for Big Data

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects

Course - Apache Spark in the Cloud

Upcoming Courses

Apache Spark in the Cloud

2026-08-27 09:30
21 hours
Beijing Pacific Century Place

PySpark and Machine Learning

2026-09-10 09:30
21 hours
Beijing - Parkview Green

Python, Spark, and Hadoop for Big Data

2026-09-24 09:30
21 hours
Beijing - Creative building

Administration of Apache Spark

2026-10-08 09:30
35 hours
New Oriental Plaza

Other regions in China

Other Countries

These courses are also available in other countries

Consulting

Apache Spark Consulting
Online Apache Spark training in Beijing, Apache Spark training courses in Beijing, Weekend Spark courses in Beijing, Evening Spark training in Beijing, Spark instructor-led in Beijing, Apache Spark instructor in Beijing, Evening Apache Spark courses in Beijing, Spark trainer in Beijing, Spark coaching in Beijing, Apache Spark boot camp in Beijing, Weekend Spark training in Beijing, Online Spark training in Beijing, Spark classes in Beijing, Apache Spark on-site in Beijing, Spark one on one training in Beijing, Spark private courses in Beijing, Apache Spark instructor-led in Beijing