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.

Subcategories (5)

Category for Apache NiFi

Apache NiFi
Category for Apache Flink

Apache Flink
Category for Apache Beam

Apache Beam
Category for KSQL

KSQL
Category for Spark Streaming

Spark Streaming

Explore Our Courses

Confluent Apache Kafka: Cluster Operations and Configuration

 16 Hours

Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.

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

  • Install, configure, and operate Confluent Kafka clusters with multiple brokers.
  • Design high-availability setups using Zookeeper and replication techniques.
  • Tune performance, monitor metrics, and apply recovery strategies.
  • Secure, scale, and integrate Kafka with enterprise environments.

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...

Administration of Confluent Apache Kafka

 21 Hours

Confluent Apache Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led, live training (online or onsite) is aimed at intermediate-level system administrators and DevOps professionals who wish to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

  • Understand the components and architecture of Confluent Kafka.
  • Deploy and manage Kafka brokers, Zookeeper quorums, and key services.
  • Configure advanced features including security, replication, and performance tuning.
  • Use management tools to monitor and maintain Kafka clusters.

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...

Apache Flink Fundamentals

 28 Hours

This instructor-led, live training in New Jersey (online or onsite) introduces the principles and approaches behind distributed stream and batch data processing, and walks participants through the creation of a real-time, data streaming application in Apache Flink.

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

  • Set up an environment for developing data analysis applications.
  • Understand how Apache Flink's graph-processing library (Gelly) works.
  • Package, execute, and monitor Flink-based, fault-tolerant, data streaming applications.
  • Manage diverse workloads.
  • Perform advanced analytics.
  • Set up a multi-node Flink cluster.
  • Measure and optimize performance.
  • Integrate Flink with different Big Data systems.
  • Compare Flink capabilities with those of other big data processing frameworks.
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Apache NiFi for Administrators

 21 Hours

In this instructor-led, live training in New Jersey (onsite or remote), participants will learn how to deploy and manage Apache NiFi in a live lab environment.

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

  • Install and configure Apachi NiFi.
  • Source, transform and manage data from disparate, distributed data sources, including databases and big data lakes.
  • Automate dataflows.
  • Enable streaming analytics.
  • Apply various approaches for data ingestion.
  • Transform Big Data and into business insights.
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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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Stream Processing with Kafka Streams

 7 Hours

Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing.

In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing.

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

  • Understand Kafka Streams features and advantages over other stream processing frameworks
  • Process stream data directly within a Kafka cluster
  • Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
  • Write concise code that transforms input Kafka topics into output Kafka topics
  • Build, package and deploy the application

Audience

  • Developers

Format of the course

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

Notes

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

A Practical Introduction to Stream Processing

 21 Hours

In this instructor-led, live training in New Jersey (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.
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Unified Batch and Stream Processing with Apache Beam

 14 Hours

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.
Read more...

Building Kafka Solutions with Confluent

 14 Hours

This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Confluent (a distribution of Kafka) to build and manage a real-time data processing platform for their applications.

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

  • Install and configure Confluent Platform.
  • Use Confluent's management tools and services to run Kafka more easily.
  • Store and process incoming stream data.
  • Optimize and manage Kafka clusters.
  • Secure data streams.

Format of the Course

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

Course Customization Options

  • This course is based on the open source version of Confluent: Confluent Open Source.
  • To request a customized training for this course, please contact us to arrange.
Read more...

Confluent KSQL

 7 Hours

This instructor-led, live training in New Jersey (online or onsite) is aimed at developers who wish to implement Apache Kafka stream processing without writing code.

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

  • Install and configure Confluent KSQL.
  • Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
  • Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
  • Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
Read more...

Apache Kafka for Python Programmers

 7 Hours

This instructor-led, live training in New Jersey (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python.

By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.

Read more...

Spark Streaming with Python and Kafka

 7 Hours

This instructor-led, live training in New Jersey (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data.

By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.

Read more...

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Testimonials (4)

Sufficient hands on, trainer is knowledgable

Chris Tan

Course - A Practical Introduction to Stream Processing

During the exercises, James explained me every step whereever I was getting stuck in more detail. I was completely new to NIFI. He explained the actual purpose of NIFI, even the basics such as open source. He covered every concept of Nifi starting from Beginner Level to Developer Level.

Firdous Hashim Ali - MOD A BLOCK

Course - Apache NiFi for Administrators

That I had it in the first place.

Peter Scales - CACI Ltd

Course - Apache NiFi for Developers

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.

Course - Building Stream Processing Applications with Kafka Streams

Upcoming Courses

Apache Flink Fundamentals

2025-08-25 9:30 am
28 hours
Princeton, NJ – Regus at Overlook Business Center
$ 5405 (Online)
$ 5405 (Classroom)

Confluent KSQL

2025-09-04 9:30 am
7 hours
Totowa, NJ – Regus at Riverview Drive
$ 1630 (Online)
$ 1630 (Classroom)

Apache NiFi for Administrators

2025-09-22 9:30 am
21 hours
Princeton, NJ – Regus at Overlook Business Center
$ 4054 (Online)
$ 4054 (Classroom)

Administration of Confluent Apache Kafka

2025-10-06 9:30 am
21 hours
Totowa, NJ – Regus at Riverview Drive
$ 4054 (Online)
$ 4054 (Classroom)

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