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Monterrey - Oficinas en el Parque

Boulevard Díaz Ordaz 140, , Monterrey, Mexico, 64650

The Monterrey Officinas en el Parque Center is in a tall, dark glass-faced building surrounded by landscaped grounds with fountains and lakes, and located on Boulevard Constitucion, at the west end of the most important east to west arterial road in the city.

Monterrey - El Milagro

Apodaca 1350, El Milagro , Monterrey, Mexico, 66637

Forge connections with clients across North America, Canada, Latin America, Asia, and Europe via direct flights from Monterrey International Airport, conveniently located just 11km away. Broaden your professional horizons throughout the Monterrey Metro Area utilizing the city’s exceptional road network, frequent local bus services, and extensive Metro system. Relax after a day's work with a delightful meal at one of the many local restaurants. Enjoy a leisurely stroll through Arroyo Park or cheer on Real Apodaca F.C. at the Estadio Municipal de Apodaca, a mere 4km away.

Explore Our Courses

Python, Spark, and Hadoop for Big Data

 21 Hours

This instructor-led, live training in Monterrey (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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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

 28 Hours

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 Monterrey (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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HBase for Developers

 21 Hours

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.
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Apache NiFi for Developers

 7 Hours

In this instructor-led, live training in Monterrey, 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

Big Data Analytics in Health

2026-06-01 09:30
21 hours
Monterrey - Oficinas en el Parque
109,890 MXN (Online)
139,890 MXN (Classroom)

Hadoop Administration on MapR

2026-06-15 09:30
28 hours
Monterrey - El Milagro
146,300 MXN (Online)
186,300 MXN (Classroom)

Apache NiFi for Developers

2026-06-29 09:30
7 hours
Monterrey - Oficinas en el Parque
41,690 MXN (Online)
51,690 MXN (Classroom)

Hadoop Administration on MapR

2026-07-13 09:30
28 hours
Monterrey - El Milagro
146,300 MXN (Online)
186,300 MXN (Classroom)

Administrator Training for Apache Hadoop

2026-07-27 09:30
35 hours
Monterrey - Oficinas en el Parque
181,500 MXN (Online)
231,500 MXN (Classroom)

Other regions in Mexico

Other Countries

These courses are also available in other countries

Consulting

Hadoop Consulting
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