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Jacksonville, FL – Deerwood Park

10151 Deerwood Park Blvd 200, Suite 250, Jacksonville, United States, 32256

The venue is nestled in the Deerwood Park campus at 10151 Deerwood Park Boulevard, just off J. Turner Butler Boulevard (JTB) and I‑295, with free on-site parking and adjacent lots. From Jacksonville International Airport (JAX), approximately 18 miles north, a taxi or rideshare takes about 25 minutes via I‑95 South and JTB West. Public transit is available via Jacksonville’s JTA bus routes stopping within walking distance, making the landscaped campus—complete with fountains, cafes, and scenic walkways—easily accessible for attendees without a car.

Miami, FL – Regus at Waterford at Blue Lagoon

6303 Blue Lagoon Drive, Suite 400, Miami, United States, 33126

The venue is set within the Waterford business park at 6303 Blue Lagoon Drive, just minutes from Miami International Airport. It’s accessible by car via I‑95, Florida Turnpike, 826, or Dolphin Expressway, with abundant covered and surface parking on-site. From Miami International Airport (MIA), a taxi or rideshare takes approximately 10 minutes via the Dolphin Expressway. Public transit options include TheBus routes and nearby Tri-Rail stations, with the property a short walk from bus stops—making it convenient even for attendees without a car.

Tampa, FL – Regus at Wells Fargo Center

100 S. Ashley Drive, Suite 600, Tampa, United States, 33602

The venue is located in the 22-story Wells Fargo Center in downtown Tampa, easily accessible by car via I‑275, I‑4, I‑75, or the Selmon Expressway, with covered garage parking (610+ spaces) directly connected to the building. From Tampa International Airport (TPA), a taxi or rideshare takes about 15 minutes via I‑275 East and Ashley Drive. Public transit is excellent with the Downtown Tampa Station (NFTA Metro Rail) just a block away and several bus routes running along Ashley and Brorein Streets, making it ideal for attendees arriving without cars.

FL, Orlando – GAI Building

618 E. South Street Suite 500, Orlando, United States, 32801

The venue is located in the GAI Building with the CNS Healthcare logo at the front.

FL, Jacksonville - Bank of America Tower

50 N. Laura Street Suite 2500, Jacksonville, United States, 32202

The office is located in a premier office tower in Downtown Jacksonville on the 42nd floor. This Class A LEED Certified building is situated in the Northbank Office Market Preeminent location that provides commanding views. Downtown Trolley and Bus stops are located just across the street on Forsyth with easy access to I-95 leading to I-10 and I-295. Convenient to Jacksonville International Airport, the building is also just minutes to Everbank Field, Jacksonville Landing, Times Union Performing Arts Center, Jacksonville Veterans Memorial Arena and Jacksonville Public Library. Spectacular views of the St John's River in Jacksonville, Florida are one of many features that make the Bank of America Tower office space stand out. The office space occupies a blue granite tower in the heart of the city's central business district. The iconic tower is one of the best-known business premises in the southeastern United States and includes a statement lobby and class-A workspace. Businesses of all kinds appreciate Jacksonville's location at the crossroads of three major railroads and three interstates, and its international airport.

FL, Tallahassee – Alliance Center

113 South Monroe Street 1st Floor, Tallahassee, united states, 32301

The venue is located in the Alliance Center across the street from FUBA and the Florida Optometric Association.

FL, West Palm Beach - Philips Point

777 South Flagler Drive, West Palm Beach, United States, 33401

The venue is located in the Philips Point building just off the Royal Park Bridge.

FL, Aventura - Corporate Center

20801 Biscayne Blvd., Miami, united states, 33180

The venue is located in the Grove Bank & Trust building just off Biscayne Blvd.

FL, Fort Lauderdale - Corporate Center

Corporate Center, 110 East Broward Blvd., Fort Lauderdale, United States, 33301

The venue is located in the Corporate Center across the street from the Uniform Advantage Corporate Office and just next door to Colliers International.

Miami Beach, FL – Regus at Meridian Center

1688 Meridian Avenue, Suites 600/700, Miami Beach, United States, 33139

The venue is located on the corner of Meridian Avenue and 17th Street in Miami Beach’s vibrant City Center district, accessible by car via I‑195 and the MacArthur Causeway with underground and street parking nearby. From Miami International Airport (MIA), taxis or rideshares typically take 15–20 minutes via I‑195 East and Biscayne Boulevard. Public transit is seamless: several Metrobus routes serve Meridian Avenue, and the nearby 17th Street trolley stop makes it easy to reach without a car. The central location places the venue steps from the Miami Beach Convention Center, Lincoln Road Mall, restaurants, galleries, and retail.
NobleProg Training Place, City Tampa, FL - Regus - One Urban Centre at Westshore

Tampa, FL - Regus - One Urban Centre at Westshore

4830 W Kennedy Blvd #600, Tampa, United States, 33609

The venue is located in the Westshore business district at 4830 West Kennedy Boulevard, seamlessly accessible by car via I‑275 or I‑75 with secure underground and surface parking on-site. From Tampa International Airport (TPA), take Memorial Highway to I‑275 South and exit at West Kennedy Boulevard—taxi or rideshare typically takes about 15–20 minutes. Public transit users can reach the venue via HART bus routes (such as Route 2 or 32) stopping nearby, followed by a short walk into the building lobby.

Subcategories (1)

PySpark

PySpark

Explore Our Courses

Big Data Analytics with Google Colab and Apache Spark

 14 Hours

This instructor-led, live training in Florida (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 Florida (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.
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Administration of Apache Spark

 35 Hours

This instructor-led, live training in Florida (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.
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Python and Spark for Big Data (PySpark)

 21 Hours

In this instructor-led, live training in Florida, 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...

Big Data Analytics in Health

 21 Hours

Big data analytics involves the process of examining large amounts of varied data sets in order to uncover correlations, hidden patterns, and other useful insights.

The health industry has massive amounts of complex heterogeneous medical and clinical data. Applying big data analytics on health data presents huge potential in deriving insights for improving delivery of healthcare. However, the enormity of these datasets poses great challenges in analyses and practical applications to a clinical environment.

In this instructor-led, live training (remote), participants will learn how to perform big data analytics in health as they step through a series of hands-on live-lab exercises.

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

  • Install and configure big data analytics tools such as Hadoop MapReduce and Spark
  • Understand the characteristics of medical data
  • Apply big data techniques to deal with medical data
  • Study big data systems and algorithms in the context of health applications

Audience

  • Developers
  • Data Scientists

Format of the Course

  • Part lecture, part discussion, exercises and heavy hands-on practice.

Note

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

Hadoop and Spark for Administrators

 35 Hours

This instructor-led, live training in Florida (online or onsite) is aimed at system administrators who wish to learn how to set up, deploy and manage Hadoop clusters within their organization.

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

  • Install and configure Apache Hadoop.
  • Understand the four major components in the Hadoop ecoystem: HDFS, MapReduce, YARN, and Hadoop Common.
  • Use Hadoop Distributed File System (HDFS) to scale a cluster to hundreds or thousands of nodes.  
  • Set up HDFS to operate as storage engine for on-premise Spark deployments.
  • Set up Spark to access alternative storage solutions such as Amazon S3 and NoSQL database systems such as Redis, Elasticsearch, Couchbase, Aerospike, etc.
  • Carry out administrative tasks such as provisioning, management, monitoring and securing an Apache Hadoop cluster.
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A Practical Introduction to Stream Processing

 21 Hours

In this instructor-led, live training in Florida (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.

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

  • Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
  • Understand and select the most appropriate framework for the job.
  • Process of data continuously, concurrently, and in a record-by-record fashion.
  • Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
  • Integrate the most appropriate stream processing library with enterprise applications and microservices.
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.

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SMACK Stack for Data Science

 14 Hours

This instructor-led, live training in Florida (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions.

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

  • Implement a data pipeline architecture for processing big data.
  • Develop a cluster infrastructure with Apache Mesos and Docker.
  • Analyze data with Spark and Scala.
  • Manage unstructured data with Apache Cassandra.
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Apache Spark Fundamentals

 21 Hours

This instructor-led, live training in Florida (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

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Spark for Developers

 21 Hours

OBJECTIVE:

This course will introduce Apache Spark. The students will learn how  Spark fits  into the Big Data ecosystem, and how to use Spark for data analysis.  The course covers Spark shell for interactive data analysis, Spark internals, Spark APIs, Spark SQL, Spark streaming, and machine learning and graphX.

AUDIENCE :

Developers / Data Analysts

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Scaling Data Pipelines with Spark NLP

 14 Hours

This instructor-led, live training in Florida (online or onsite) is aimed at data scientists and developers who wish to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines.

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

  • Set up the necessary development environment to start building NLP pipelines with Spark NLP.
  • Understand the features, architecture, and benefits of using Spark NLP.
  • Use the pre-trained models available in Spark NLP to implement text processing.
  • Learn how to build, train, and scale Spark NLP models for production-grade projects.
  • Apply classification, inference, and sentiment analysis on real-world use cases (clinical data, customer behavior insights, etc.).
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Apache Spark SQL

 7 Hours

Spark SQL is Apache Spark's module for working with structured and unstructured data. Spark SQL provides information about the structure of the data as well as the computation being performed. This information can be used to perform optimizations. Two common uses for Spark SQL are:
- to execute SQL queries.
- to read data from an existing Hive installation.

In this instructor-led, live training (onsite or remote), participants will learn how to analyze various types of data sets using Spark SQL.

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

  • Install and configure Spark SQL.
  • Perform data analysis using Spark SQL.
  • Query data sets in different formats.
  • Visualize data and query results.

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...

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Testimonials (7)

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

very interactive...

Richard Langford

Course - SMACK Stack for Data Science

Sufficient hands on, trainer is knowledgable

Chris Tan

Course - A Practical Introduction to Stream Processing

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects

Course - Apache Spark in the Cloud

Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.

Thomas Carcaud - IT Frankfurt GmbH

Course - Spark for Developers

The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.

Safar Alqahtani - Elm Information Security

Course - Big Data Analytics in Health

Upcoming Courses

Apache Spark SQL

2026-05-25 9:30 am
7 hours
FL, Fort Lauderdale - Corporate Center
$ 1630 (Online)
$ 2230 (Classroom)

Apache Spark in the Cloud

2026-06-08 9:30 am
21 hours
Jacksonville, FL – Deerwood Park
$ 4054 (Online)
$ 5854 (Classroom)

Stratio: Rocket and Intelligence Modules with PySpark

2026-06-22 9:30 am
14 hours
FL, Orlando – GAI Building
$ 2703 (Online)
$ 3903 (Classroom)

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These courses are also available in other countries

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