Denver, CO - Denver Place

999 18th Street, Suite 3000, Denver, United States, 80202

The venue is located in the prestigious Denver Place complex at 999 18th Street in downtown Denver’s financial district. It is easily accessible by car via I‑25 or I‑70 with secure underground parking available. From Denver International Airport (DEN), take Peña Blvd to I‑70 West to I‑25 South, then exit onto 18th Street—taxi or rideshare typically takes about 30 minutes. Public transit users can take RTD bus routes along 17th or 18th Street or ride the light rail to nearby 18th & California Station, followed by a brief walk to the lobby.

CO, Denver - DTC Corporate Center III

7900 East Union Avenue, Suite 1100, Denver, United States, 80237

The venue is located in Denver Tech Center at 7900 East Union Avenue, Suite 1100, on the 11th floor of Corporate Center III. It’s easily reachable by car via I‑25 or I‑225 with secure underground parking available in the building. From Denver International Airport (DEN), take Peña Blvd and I‑70 West to I‑225 South, then exit onto Union Avenue—taxi or rideshare typically takes about 25 minutes. Public transit users can take RTD buses along Union Avenue, with stops just outside the building, followed by a brief walk into the lobby.

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...

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.
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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...

Apache Flink Fundamentals

 28 Hours

This instructor-led, live training in Colorado (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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A Practical Introduction to Stream Processing

 21 Hours

In this instructor-led, live training in Colorado (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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Apache Kafka for Python Programmers

 7 Hours

This instructor-led, live training in Colorado (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.

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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...

Confluent KSQL

 7 Hours

This instructor-led, live training in Colorado (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.
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Apache NiFi for Administrators

 21 Hours

In this instructor-led, live training in Colorado (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 Colorado, 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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Spark Streaming with Python and Kafka

 7 Hours

This instructor-led, live training in Colorado (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 Kafka for Python Programmers

2025-08-20 9:30 am
7 hours
Denver, CO - Denver Place
$ 1630 (Online)
$ 1630 (Classroom)

Apache NiFi for Administrators

2025-09-03 9:30 am
21 hours
Denver, CO - Denver Place
$ 4054 (Online)
$ 4054 (Classroom)

Apache NiFi for Administrators

2025-09-17 9:30 am
21 hours
Denver, CO - Denver Place
$ 4054 (Online)
$ 4054 (Classroom)

Apache NiFi for Developers

2025-10-01 9:30 am
7 hours
Denver, CO - Denver Place
$ 1630 (Online)
$ 1630 (Classroom)

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