Gliwice
Explore Our Courses
Azure Data Lake Storage Gen2
14 HoursAdministration of Apache Spark
35 HoursData Mining with Weka
14 HoursSPSS Modeler
14 HoursData Analysis with Hive/HiveQL
7 HoursDatameer for Data Analysts
14 HoursData Mining with Excel
14 HoursConfluent KSQL
7 HoursApache Ignite for Administrators
7 HoursApache Ignite for Developers
14 HoursApache Storm
28 HoursApache NiFi for Administrators
21 HoursApache NiFi for Developers
7 HoursApache Flink Fundamentals
28 HoursIntroduction to Graph Computing
28 HoursApache Spark MLlib
35 HoursImpala for Business Intelligence
21 HoursApache Airflow
21 HoursApache Hama
14 HoursApache Accumulo Fundamentals
21 HoursAmazon Redshift
21 HoursPivotal Greenplum for Developers
21 HoursGreenplum Database
14 HoursMemSQL
28 HoursSnowflake Advanced
14 HoursSamza for Stream Processing
14 HoursAdvanced Teradata
14 HoursTeradata Fundamentals
21 HoursApache ActiveMQ
14 HoursSolrCloud
14 HoursApache Zookeeper
14 HoursBig Data Analytics in Health
21 HoursHadoop and Spark for Administrators
35 HoursApache Spark for .NET Developers
21 HoursSMACK Stack for Data Science
14 HoursApache Spark Fundamentals
21 HoursApache Spark in the Cloud
21 HoursSpark for Developers
21 HoursApache Spark Streaming with Scala
21 HoursApache Spark SQL
7 HoursCluster Analysis with R and SAS
14 HoursData Mining and Analysis
28 HoursData Mining
21 HoursData Mining with Python
14 HoursData Mining with R
14 HoursData Visualization
28 HoursData Science for Big Data Analytics
35 HoursFoundation R
7 HoursProcess Mining – wprowadzenie
21 HoursKNIME Analytics Platform for BI
21 HoursProcess Mining w R
21 HoursProcess Mining w Python
21 HoursMonetDB
28 HoursIntroductory R for Biologists
28 HoursBig Data Hadoop Analyst Training
28 HoursHadoop Administration
21 HoursHadoop For Administrators
21 HoursHadoop for Developers (4 days)
28 HoursAdvanced Hadoop for Developers
21 HoursHadoop for Project Managers
14 HoursHadoop Administration on MapR
28 HoursHadoop with Python
28 HoursHBase for Developers
21 HoursBig Data - Data Science
14 HoursBig Data Architect
35 HoursProgramming with Big Data in R
21 HoursBig Data Storage Solution - NoSQL
14 HoursMachine Learning and Big Data
7 HoursSqoop and Flume for Big Data
7 HoursTalend Big Data Integration
28 HoursProcess Mining
21 HoursLast Updated:
Testimonials (25)
instructor was clear and explained thing well. The course and excercises were easy to follow along with.
Peter - Army
Course - Apache NiFi for Developers
A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution
Rafał - Nordea
Course - Apache Spark MLlib
The general topic itself
- Verizon Connect
Course - Amazon Redshift
Exercises and exchanges during questions/answers
Antoine - Physiobotic
Course - Scaling Data Pipelines with Spark NLP
Machine Translated
Ability to transfer knowledge, well-selected number of exercises,
Artur - Santander Bank Polska S.A.
Course - Apache Airflow
Machine Translated
Commitment and willingness to explain secondary topics.
Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Course - Apache Spark Fundamentals
Machine Translated
What I liked most was the trainer's mastery of the subject, his patience and clarity when explaining the concepts, and especially his constant willingness to answer all the questions that arose. It was a really enriching and very enjoyable learning experience.
Patricio Condado - SOKODB
Machine Translated
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
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
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
The notes have lots of detail and links to more information. The labs will be good examples for future reference.
Brian Gallagher - Corning Incorporated
Course - Apache ActiveMQ
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
Explanations were clear, and it was really easy to interact, even for specific questions.
Stéphane F - MINISTERE DES ARMEES
Course - Apache Accumulo Fundamentals
Trainer's preparation & organization, and quality of materials provided on github.
Mateusz Rek - MicroStrategy Poland Sp. z o.o.
Course - Impala for Business Intelligence
pozytywna atmosfera na szkoleniu
Piotr Wojciechowski - Centrum Informatyki Resortu Finansów
Course - Data Mining with Python
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
Course - Apache Spark in the Cloud
Forma przekazania wiedzy poprzez dokładne wyjaśnienie zagadnienia.
Katarzyna Stańczak - Mowi Poland SA
Course - Data Mining and Analysis
passionate trainer
Sylvia Baniak - Maastricht University | UMIO
Course - Teradata Fundamentals
The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.
Safar Alqahtani - Elm Information Security
Course - Big Data Analytics in Health
I thought he did a great job of tailoring the experience to the audience. This class is mostly designed to cover data analysis with HIVE, but me and my co-worker are doing HIVE administration with no real data analytics responsibilities.
ian reif - Franchise Tax Board
Course - Data Analysis with Hive/HiveQL
The content, as I found it very interesting and think it would help me in my final year at University.
Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course - Data Visualization
Very tailored to needs.