Big Data Architect

  35 hours

Vespa: Serving Large-Scale Data in Real-Time

  14 hours

Big Data Analytics for Telecom Regulators

  14 hours

Big Data - Data Science

  14 hours

Big Data and its Management Process

  14 hours

Sqoop and Flume for Big Data

  7 hours

Big Data Business Intelligence for Govt. Agencies

  35 hours

From Data to Decision with Big Data and Predictive Analytics

  21 hours

Big Data Business Intelligence for Criminal Intelligence Analysis

  35 hours

Programming with Big Data in R

  21 hours

Big Data Storage Solution - NoSQL

  14 hours

HBase for Developers

  21 hours

Big Data & Database Systems Fundamentals

  14 hours

Pivotal Greenplum for Developers

  21 hours

MemSQL

  28 hours

Amazon Redshift

  21 hours

Greenplum Database

  14 hours

Data Science for Big Data Analytics

  35 hours

SMACK Stack for Data Science

  14 hours

A Practical Introduction to Data Analysis and Big Data

  35 hours

SQL For Data Science and Data Analysis

  14 hours

Datameer for Data Analysts

  14 hours

Data Analysis with Hive/HiveQL

  7 hours

Machine Learning and Big Data

  7 hours

Data Mining & Machine Learning with R

  14 hours

Talend Big Data Integration

  28 hours

Data Mining and Analysis

  28 hours

Data Mining with Excel

  14 hours

Oracle SQL Intermediate - Data Extraction

  14 hours

Data Mining with Python

  14 hours

Data Mining with R

  14 hours

Introductory R for Biologists

  28 hours

Statistics with SPSS Predictive Analytics Software

  14 hours

Data Mining

  21 hours

MonetDB

  28 hours

Hadoop for Business Analysts

  21 hours

Hadoop Administration

  21 hours

Hadoop Administration on MapR

  28 hours

Hadoop for Developers (4 days)

  28 hours

Advanced Hadoop for Developers

  21 hours

Hadoop For Administrators

  21 hours

Hadoop for Developers and Administrators

  21 hours

Apache Hadoop: Manipulation and Transformation of Data Performance

  21 hours

Hadoop for Project Managers

  14 hours

Process Mining

  21 hours

Administrator Training for Apache Hadoop

  35 hours

Apache Avro: Data Serialization for Distributed Applications

  14 hours

Samza for Stream Processing

  14 hours

Tigon: Real-time Streaming for the Real World

  14 hours

Apache Kafka for Python Programmers

  7 hours

A Practical Introduction to Stream Processing

  21 hours

Stream Processing with Kafka Streams

  7 hours

Building Kafka Solutions with Confluent

  14 hours

Real-Time Stream Processing with MapR

  7 hours

Alluxio: Unifying Disparate Storage Systems

  7 hours

Apache NiFi for Administrators

  21 hours

Apache NiFi for Developers

  7 hours

Big Data Analytics in Health

  21 hours

Hadoop and Spark for Administrators

  35 hours

Python, Spark, and Hadoop for Big Data

  21 hours

Apache Spark for .NET Developers

  21 hours

Spark for Developers

  21 hours

Apache Spark SQL

  7 hours

Apache Spark in the Cloud

  21 hours

Apache Spark Fundamentals

  21 hours

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

  21 hours

Apache Spark MLlib

  35 hours

Python and Spark for Big Data (PySpark)

  21 hours

Spark Streaming with Python and Kafka

  7 hours

Foundation R

  7 hours

Data Visualization

  28 hours

Cluster Analysis with R and SAS

  14 hours

Data Vault: Building a Scalable Data Warehouse

  28 hours

KNIME Analytics Platform for BI

  21 hours

Data Mining with Weka

  14 hours

SPSS Modeler

  14 hours

SolrCloud

  14 hours

Apache Zookeeper

  14 hours

Hortonworks Data Platform (HDP) for Administrators

  21 hours

Magellan: Geospatial Analytics on Spark

  14 hours

Apache Spark Streaming with Scala

  21 hours

Scaling Data Pipelines with Spark NLP

  14 hours

Confluent KSQL

  7 hours

Impala for Business Intelligence

  21 hours

Apache Druid for Real-Time Data Analysis

  21 hours

Zeppelin for Interactive Data Analytics

  14 hours

Knowledge Discovery in Databases (KDD)

  21 hours

Apache Kylin: From Classic OLAP to Real-Time Data Warehouse

  14 hours

Apache Drill

  21 hours

Apache Drill Performance Optimization and Debugging

  7 hours

Apache Drill Query Optimization

  7 hours

Dremio for Self-Service Data Analysis

  21 hours

Apache Arrow for Data Analysis across Disparate Data Sources

  14 hours

Apache ActiveMQ

  14 hours

Teradata Fundamentals

  21 hours

Advanced Teradata

  14 hours

Introduction to Graph Computing

  28 hours

Apache Flink Fundamentals

  28 hours

Apache Storm

  28 hours

Apache Apex: Processing Big Data-in-Motion

  21 hours

Apache Accumulo Fundamentals

  21 hours

Unified Batch and Stream Processing with Apache Beam

  14 hours

Apache Ignite for Developers

  14 hours

Apache Hama

  14 hours

Apache Ambari: Efficiently Manage Hadoop Clusters

  21 hours

Apache Airflow

  21 hours

Data Virtualization with Denodo Platform

  14 hours

The fact that all the data and software was ready to use on an already prepared VM, provided by the trainer in external disks.

vyzVoice [Hadoop for Developers and Administrators]

The trainer was so knowledgeable and included areas I was interested in.

Mohamed Salama [Data Mining & Machine Learning with R]

Very tailored to needs.

Yashan Wang [Data Mining with R]

Richard is very calm and methodical, with an analytic insight - exactly the qualities needed to present this sort of course.

Kieran Mac Kenna [Spark for Developers]

I like the exercises done.

Nour Assaf [Data Mining and Analysis ]

The hands-on exercise and the trainer capacity to explain complex topics in simple terms.

youssef chamoun [Data Mining and Analysis ]

The information given was interesting and the best part was towards the end when we were provided with Data from Durex and worked on Data we are familiar with and perform operations to get results.

Jessica Chaar [Data Mining and Analysis ]

I mostly liked the trainer giving real live Examples.

Simon Hahn [Administrator Training for Apache Hadoop]

I genuinely enjoyed the big competences of Trainer.

Grzegorz Gorski [Administrator Training for Apache Hadoop]

I genuinely enjoyed the many hands-on sessions.

Jacek Pieczątka [Administrator Training for Apache Hadoop]

I thought that the information was interesting.

Allison May [Data Visualization]

I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.

Carol Wells Bazzichi [Data Visualization]

Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.

Susan Williams [Data Visualization]

Trainer was enthusiastic.

Diane Lucas [Data Visualization]

I really liked the content / Instructor.

Craig Roberson [Data Visualization]

I am a hands-on learner and this was something that he did a lot of.

Lisa Comfort [Data Visualization]

I liked the examples.

Peter Coleman [Data Visualization]

I liked the examples.

Peter Coleman [Data Visualization]

I enjoyed the good real world examples, reviews of existing reports.

Ronald Parrish [Data Visualization]

I really was benefit from the willingness of the trainer to share more.

Balaram Chandra Paul [A practical introduction to Data Analysis and Big Data]

We know a lot more about the whole environment.

John Kidd [Spark for Developers]

The trainer made the class interesting and entertaining which helps quite a bit with all day training.

Ryan Speelman [Spark for Developers]

Liked very much the interactive way of learning.

Luigi Loiacono [Data Analysis with Hive/HiveQL]

It was a very practical training, I liked the hands-on exercises.

Proximus [Data Analysis with Hive/HiveQL]

I was benefit from the good overview, good balance between theory and exercises.

Proximus [Data Analysis with Hive/HiveQL]

I enjoyed the dynamic interaction and “hands-on” the subject, thanks to the Virtual Machine, very stimulating!.

Philippe Job [Data Analysis with Hive/HiveQL]

Ernesto did a great job explaining the high level concepts of using Spark and its various modules.

Michael Nemerouf [Spark for Developers]

I was benefit from the competence and knowledge of the trainer.

Jonathan Puvilland [Data Analysis with Hive/HiveQL]

I generally was benefit from the presentation of technologies.

Continental AG / Abteilung: CF IT Finance [A practical introduction to Data Analysis and Big Data]

Overall the Content was good.

Sameer Rohadia [A practical introduction to Data Analysis and Big Data]

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada [Programming with Big Data in R]

I really enjoyed the introduction of new packages.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada [Programming with Big Data in R]

The tutor, Mr. Michael An, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada [Programming with Big Data in R]

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada [Programming with Big Data in R]

The example and training material were sufficient and made it easy to understand what you are doing.

Teboho Makenete [Data Science for Big Data Analytics]

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn [Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP]

It was very hands-on, we spent half the time actually doing things in Clouded/Hardtop, running different commands, checking the system, and so on. The extra materials (books, websites, etc. .) were really appreciated, we will have to continue to learn. The installations were quite fun, and very handy, the cluster setup from scratch was really good.

Ericsson [Administrator Training for Apache Hadoop]

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group [From Data to Decision with Big Data and Predictive Analytics]

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan Mistry - NBrown Group [From Data to Decision with Big Data and Predictive Analytics]

The trainer was fantastic and really knew his stuff. I learned a lot about the software I didn't know previously which will help a lot at my job!

Steve McPhail - Alberta Health Services - Information Technology [Data Analysis with Hive/HiveQL]

The high level principles about Hive, HDFS..

Geert Suys - Proximus Group [Data Analysis with Hive/HiveQL]

The handson. The mix practice/theroy

- Proximus Group [Data Analysis with Hive/HiveQL]

Fulvio was able to grasp our companies business case and was able to correlate with the course material, almost instantly.

Samuel Peeters - Proximus Group [Data Analysis with Hive/HiveQL]

Lot of hands-on exercises.

- Ericsson [Administrator Training for Apache Hadoop]

Ambari management tool. Ability to discuss practical Hadoop experiences from other business case than telecom.

- Ericsson [Administrator Training for Apache Hadoop]

I enjoyed the good balance between theory and hands-on labs.

- N. V. Nederlandse Spoorwegen [Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing]

I generally was benefit from the more understanding of Ignite.

- N. V. Nederlandse Spoorwegen [Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing]

I mostly liked the good lectures.

- N. V. Nederlandse Spoorwegen [Apache Ignite: Improve Speed, Scale and Availability with In-Memory Computing]

I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.

  [Spark for Developers]

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

  [Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP]





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