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Charlotte, NC – City Center

525 North Tryon Street, Suite 1600, Charlotte, United States, 28202

The venue is located in Uptown Charlotte’s City Center district at 525 North Tryon Street, easily reachable by car via I‑77, I‑85, or I‑277, with access to adjacent parking garages connected via pedestrian skywalks. From Charlotte Douglas International Airport (CLT), roughly 10 miles southwest, a taxi or rideshare takes approximately 15–20 minutes via I‑485, I‑77 North, then Trade Street. Public transit is convenient: the Lynx Blue Line light rail stops at 9th Street station two blocks away, and multiple CATS bus routes travel along Tryon and Trade streets—making it accessible for participants without cars.

Cary, NC – Regus at Regency Parkway

2500 Regency Pkwy, Cary, United States, 27518

The venue sits within the Regency Park campus at 2500 Regency Parkway, conveniently accessible by car via US 1/US 64 and I‑40, with free on-site parking and adjacent lots. From Raleigh–Durham International Airport (RDU), about 15 miles northwest, taxis or rideshares typically take 20–25 minutes via US 64 East. Public transit users can use GoCary and GoRaleigh bus routes; Cary Station is about 0.8 miles away, offering access via regional transport followed by a short walk or quick rideshare to the building.

Chapel Hill, NC – Regus at Environ Way

1340 Environ Way, Chapel Hill, United States, 27517

The venue is situated on Environ Way in Chapel Hill’s sustainably designed office park, easily reached by car via US‑15‑501 and NC‑54, with ample on-site and municipal lot parking. From Raleigh–Durham International Airport (RDU), approximately 12 miles northwest, taxis or rideshares typically take 20–25 minutes via I‑40 East and US‑15‑501 South. Public transit is convenient: Chapel Hill Transit buses stop nearby on East Franklin Street, and UNC’s campus is a short walk away—making the location ideal for attendees without cars.

Durham, NC – Regus at Shannon Road

3511 Shannon Road, 3rd Floor, Durham, United States, 27707

The venue is situated in a suburban business park with easy car access via I‑40 and NC‑147, and offers ample on-site parking. From Raleigh-Durham International Airport (RDU), about 7 miles northwest, taxis or rideshares typically take 15–20 minutes via I‑40 East. Public transit options include GoDurham and GoTriangle bus routes that serve nearby Shannon and Cornwallis Roads, with a short walk to the building entrance.

Raleigh, NC – Regus at Raleigh City Plaza

421 Fayetteville Street, Plaza Downtown, Suite 1100, Raleigh, United States, 27601

The venue is located in downtown Raleigh within the One City Plaza tower on Fayetteville Street, easily accessible by car via I‑40 or I‑440, with several public parking garages within a block. From Raleigh‑Durham International Airport (RDU), approximately 17 miles west, taxis or rideshares typically take 20–25 minutes via I‑40 East. For attendees using public transit, GoRaleigh bus routes stop on Fayetteville and Salisbury Streets directly in front of One City Plaza, offering convenient walkable access to the building.

Subcategories (1)

PySpark

PySpark

Explore Our Courses

Big Data Analytics with Google Colab and Apache Spark

 14 Hours
This instructor-led, live training (available online or onsite) is designed for intermediate-level data scientists and engineers who wish to utilize Google Colab and Apache Spark for big data processing and analytics. By the end of this training, participants will be able to: - Configure a big data environment using Google Colab and Apache Spark. - Efficiently process and analyze large datasets with Apache Spark. - Visualize big data in a collaborative setting. - Integrate Apache Spark with cloud-based tools for government.
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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 facilitate rapid data exploration, transformation, and advanced analytics in enterprise environments. This instructor-led, live training (online or onsite) is designed for intermediate-level data professionals who aim to effectively utilize the Rocket and Intelligence modules in Stratio 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 the Rocket and Intelligence modules. - Apply PySpark for 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. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** To request a customized training for this course, please contact us to arrange.
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Python, Spark, and Hadoop for Big Data

 21 Hours
This instructor-led, live training in North Carolina (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 for government. 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 efficient big data processing. - Explore tools in the Spark ecosystem, including Spark MlLib, Spark Streaming, Kafka, Sqoop, Flume, and others. - Build collaborative filtering recommendation systems similar to those used by Netflix, YouTube, Amazon, Spotify, and Google. - Use Apache Mahout to scale machine learning algorithms for government applications.
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Administration of Apache Spark

 35 Hours
This instructor-led, live training in North Carolina (online or onsite) is designed for beginner to intermediate-level system administrators who aim to deploy, maintain, and optimize Spark clusters for government use. 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 effectively. - Optimize the performance of Spark clusters to meet operational requirements. - Implement security measures and ensure high availability for government systems. - Debug and troubleshoot common issues that may arise in Spark deployments.
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Python and Spark for Big Data (PySpark)

 21 Hours
In this instructor-led, live training in [location], participants will learn how to leverage Python and Spark together to analyze large datasets as they engage in hands-on exercises. By the end of this training, participants will be able to: - Utilize Spark with Python for comprehensive big data analysis. - Engage in exercises that simulate real-world scenarios. - Apply various tools and techniques for big data analysis using PySpark, enhancing their capabilities for government projects.
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Python and Spark for Big Data for Banking (PySpark)

 14 Hours
Python is a high-level programming language renowned for its clear syntax and code readability. Apache Spark is a powerful data processing engine utilized for querying, analyzing, and transforming large datasets. PySpark facilitates the integration of Spark with Python, enabling seamless data processing workflows. Target Audience: Intermediate-level professionals in the banking sector who are familiar with Python and Spark and aim to enhance their expertise in big data processing and machine learning techniques, specifically for government and private sector applications.
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PySpark & Machine Learning

 21 Hours

This section is intentionally left blank for government use.

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Apache Spark Fundamentals

 21 Hours
This instructor-led, live training in North Carolina (online or onsite) is aimed at engineers who wish to set up and deploy the 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. - Efficiently process and analyze extensive datasets. - Understand the distinctions between Apache Spark and Hadoop MapReduce, and determine which is more suitable for specific tasks. - Integrate Apache Spark with other machine learning tools to enhance data processing capabilities for government applications.
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Apache Spark in the Cloud

 21 Hours
Apache Spark has a steep initial learning curve that requires significant effort to overcome before yielding tangible results. This course is designed to help participants navigate this challenging first phase. Upon completion of the course, attendees will have a solid understanding of Apache Spark fundamentals, including the distinction between RDD and DataFrame, proficiency in using Python and Scala APIs, and knowledge of executors and tasks. The curriculum emphasizes best practices, with a strong focus on cloud deployment, particularly through platforms such as Databricks and AWS. Participants will also gain insights into the differences between AWS EMR and AWS Glue, one of AWS's latest Spark services. This training is tailored for government data engineers, DevOps professionals, and data scientists to enhance their capabilities in leveraging Apache Spark for government projects.
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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

Administration of Apache Spark

2026-07-23 09:30
35 hours
Cary, NC – Regus at Regency Parkway
$ 6757 (Online)
$ 9757 (Classroom)

Python and Spark for Big Data (PySpark)

2026-08-06 09:30
21 hours
Chapel Hill, NC – Regus at Environ Way
$ 3330 (Online)
$ 5130 (Classroom)

Python and Spark for Big Data for Banking (PySpark)

2026-08-20 09:30
14 hours
Cary, NC – Regus at Regency Parkway
$ 2703 (Online)
$ 3903 (Classroom)

Python and Spark for Big Data (PySpark)

2026-09-03 09:30
21 hours
Chapel Hill, NC – Regus at Environ Way
$ 3330 (Online)
$ 5130 (Classroom)

Administration of Apache Spark

2026-09-17 09:30
35 hours
Cary, NC – Regus at Regency Parkway
$ 6757 (Online)
$ 9757 (Classroom)

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