I liked the depth of the training. I was able to understand most of it and definitely learned from this training
Maastricht University | UMIO
课程: Teradata Fundamentals
passionate trainer
Sylvia Baniak - Maastricht University | UMIO
课程: Teradata Fundamentals
x
Maastricht University | UMIO
课程: Teradata Fundamentals
New learned skills
Maastricht University | UMIO
课程: Teradata Fundamentals
The enthusiasm of the trainer
Maastricht University | UMIO
课程: Teradata Fundamentals
解释尝试通过SQL回答问题时采取的步骤
Maastricht University | UMIO
课程: Teradata Fundamentals
Machine Translated
The Topic
Accenture Inc.
课程: Data Vault：构建可扩展的数据仓库
Content was good
Northrop Grumman
课程: Apache Accumulo Fundamentals
Instructor very knowledgeable and very happy to stop and explain stuff to the group or to an individual.
Paul Anstee - Northrop Grumman
课程: Apache Accumulo Fundamentals
the follow along style instead of just sitting and listening.
Jack Gallacher - Northrop Grumman
课程: Apache Accumulo Fundamentals
The ability of the trainer to break down complex topics to simple topics.
Northrop Grumman
课程: Apache Accumulo Fundamentals
Fulvio took time and attention from the outset to check what delegates wanted most out of their training days and in particular I liked that he focused quite a lot of attention to working with the Shell e.g. scan, grep, egrep commands – particularly filtering over a system time period e.g. last hour. Fulvio's style and pace can be quite quick at times which mostly suited me as there were a lot of topics covered especially in the last 2 days. I realise that the class was a bit of a mixed audience with varying technical skills, so it was good to see that he was able to allow others to catchup and to help them fix their problems whenever encountered. Nothing seemed to be too much trouble for Fulvio and enjoyed this course a lot.
Northrop Grumman
课程: Apache Accumulo Fundamentals
Covered a lot in a short space of time. Gained a good overall knowledge of Accumulo and knowledge gained will be useful for other NoSQL databases.
KNIME is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. To some extent as advanced analytics tool KNIME can be considered as a SAS alternative.
Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas like CRM customer data analysis, business intelligence and financial data analysis.
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.jpg "european organization for nuclear research (cern)")
.jpg "international air transport association (iata)")
