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Totowa, NJ – Regus at Riverview Drive

999 Riverview Dr 2nd Floor, Totowa, United States, 07512

The venue is located in a landscaped corporate park off Route 46 and I‑80, offering easy access by car and free on-site parking. From Newark Liberty International Airport (EWR), about 15 miles away, a taxi or rideshare ride via I‑78 West typically takes 20–25 minutes. Visitors arriving by car from New York City or northern NJ can use I‑80, I‑287, or the Garden State Parkway. Public transit is also convenient: NJ Transit and local bus routes stop near the Riverview campus, and the Little Falls train station is just a short rideshare or walk away.

Princeton, NJ – Regus at Overlook Business Center

100 Overlook Center, 2nd Floor, Princeton, United States, 08540

The venue is located just off Route 1 within a landscaped office park at Overlook Center, easily reached by car via I‑95 or US‑1, with complimentary on-site parking. From Newark Liberty or Philadelphia International Airports, travel takes approximately 1–1.5 hours via I‑95 and US‑1. Attendees can also arrive by train: New Jersey Transit and Amtrak serve Princeton Junction Station (about 3 miles away), with local shuttle or taxi options for the final leg. Public transit users can take local DART or Coach USA buses that stop at Route 1 and University Drive, followed by a brief walk to building entrance.

Newark, NJ – At One Gateway Center

One Gateway Center, Suite 2600, Newark, United States, 07102

The venue is situated within the iconic One Gateway Center, directly connected to Newark Penn Station via covered walkway, and is conveniently accessible by car via I‑95, I‑78, I‑280, and the New Jersey Turnpike, with public garages nearby. Visitors arriving from Newark Liberty International Airport (EWR), roughly 3 miles away, can expect a 10-minute taxi or rideshare ride via I‑78 West. Those coming by train benefit from Penn Station, which also connects by PATH service to Manhattan in under 20 minutes. Local NJ Transit and Newark Light Rail bus routes also serve the Gateway complex, offering seamless public transit access.

Jersey City, NJ – Regus at Hudson Street

101 Hudson Street, 21st Floor, Jersey City, united states, 07302

The venue is located on the 21st floor of the 42‑story Merrill Lynch Building at 101 Hudson Street in Paulus Hook, reachable by car via I‑78, I‑95, or the New Jersey Turnpike, with public and building parking available. From Newark Liberty Airport (EWR), about 8 miles away, taxis or rideshares take 15–20 minutes via I‑78 East. Attendees arriving by train can use Newark Penn or PATH to Exchange Place or Newport stations, then walk 5–7 minutes to the building. Multiple NJ Transit and local bus routes also serve the area.

Trenton, NJ – Base Camp Trenton

247 E Front St, Trenton, United States, 08611

The venue is located in downtown Trenton on Front Street, just off Route 29 and a short drive from I‑295, offering easy car access with street and municipal lot parking nearby. Visitors coming from Newark Liberty International Airport (EWR), about 45 miles northeast, can expect a taxi or rideshare ride of roughly 50–60 minutes via I‑95 South. Those arriving from Philadelphia International Airport (PHL), approximately 25 miles southwest, typically take about 35–45 minutes via I‑95 North. Public transit is also convenient—NJ Transit trains arrive at Trenton Transit Center just a few blocks away and local DART First State buses stop near Front Street, placing the venue within short walking distance for attendees without a car.

Explore Our Courses

Python, Spark, and Hadoop for Big Data

 21 Hours

This instructor-led, live training in New Jersey (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).
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Administrator Training for Apache Hadoop

 35 Hours

Audience:

The course is intended for IT specialists looking for a solution to store and process large data sets in a distributed system environment

Goal:

Deep knowledge on Hadoop cluster administration.

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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.
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Hadoop For Administrators

 21 Hours

Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. In this three (optionally, four) days course, attendees will learn about the business benefits and use cases for Hadoop and its ecosystem, how to plan cluster deployment and growth, how to install, maintain, monitor, troubleshoot and optimize Hadoop. They will also practice cluster bulk data load, get familiar with various Hadoop distributions, and practice installing and managing Hadoop ecosystem tools. The course finishes off with discussion of securing cluster with Kerberos.

“…The materials were very well prepared and covered thoroughly. The Lab was very helpful and well organized”
— Andrew Nguyen, Principal Integration DW Engineer, Microsoft Online Advertising

Audience

Hadoop administrators

Format

Lectures and hands-on labs, approximate balance 60% lectures, 40% labs.

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Hadoop for Developers (4 days)

 28 Hours

Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. This course will introduce a developer to various components (HDFS, MapReduce, Pig, Hive and HBase) Hadoop ecosystem.

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Advanced Hadoop for Developers

 21 Hours

Apache Hadoop is one of the most popular frameworks for processing Big Data on clusters of servers. This course delves into data management in HDFS, advanced Pig, Hive, and HBase. These advanced programming techniques will be beneficial to experienced Hadoop developers.

Audience: developers

Duration: three days

Format: lectures (50%) and hands-on labs (50%).

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Hadoop Administration on MapR

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Audience:

This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand.

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Hadoop and Spark for Administrators

 35 Hours

This instructor-led, live training in New Jersey (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.
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HBase for Developers

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This course introduces HBase – a NoSQL store on top of Hadoop.  The course is intended for developers who will be using HBase to develop applications,  and administrators who will manage HBase clusters.

We will walk a developer through HBase architecture and data modelling and application development on HBase. It will also discuss using MapReduce with HBase, and some administration topics, related to performance optimization. The course  is very  hands-on with lots of lab exercises.


Duration : 3 days

Audience : Developers  & Administrators

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Apache NiFi for Administrators

 21 Hours

Apache NiFi is an open-source, flow-based data integration and event-processing platform. It enables automated, real-time data routing, transformation, and system mediation between disparate systems, with a web-based UI and fine-grained control.

This instructor-led, live training (onsite or remote) is aimed at intermediate-level administrators and engineers who wish to deploy, manage, secure, and optimize NiFi dataflows in production environments.

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

  • Install, configure, and maintain Apache NiFi clusters.
  • Design and manage dataflows from varied sources and sinks.
  • Implement flow automation, routing, and transformation logic.
  • Optimize performance, monitor operations, and troubleshoot issues.

Format of the Course

  • Interactive lecture with real-world architecture discussion.
  • Hands-on labs: building, deploying, and managing flows.
  • Scenario-based exercises in a live-lab environment.

Course Customization Options

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

Apache NiFi for Developers

 7 Hours

In this instructor-led, live training in New Jersey, participants will learn the fundamentals of flow-based programming as they develop a number of demo extensions, components and processors using Apache NiFi.

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

  • Understand NiFi's architecture and dataflow concepts.
  • Develop extensions using NiFi and third-party APIs.
  • Custom develop their own Apache Nifi processor.
  • Ingest and process real-time data from disparate and uncommon file formats and data sources.
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Testimonials (3)

Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already

James - BHG Financial

Course - Apache NiFi for Administrators

instructor was clear and explained thing well. The course and excercises were easy to follow along with.

Peter - Army

Course - Apache NiFi for Developers

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

Upcoming Courses

Python, Spark, and Hadoop for Big Data

2026-05-12 9:30 am
21 hours
Princeton, NJ – Regus at Overlook Business Center
$ 4054 (Online)
$ 5854 (Classroom)

Apache NiFi for Developers

2026-05-26 9:30 am
7 hours
Totowa, NJ – Regus at Riverview Drive
$ 1630 (Online)
$ 2230 (Classroom)

Big Data Analytics in Health

2026-06-09 9:30 am
21 hours
Princeton, NJ – Regus at Overlook Business Center
$ 4054 (Online)
$ 5854 (Classroom)

Apache NiFi for Developers

2026-06-23 9:30 am
7 hours
Totowa, NJ – Regus at Riverview Drive
$ 1630 (Online)
$ 2230 (Classroom)

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