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Impala for Business Intelligence

21 hodiny
Cloudera Impala is an open source massively parallel processing (MPP) SQL query engine for Apache Hadoop clusters. Impala enables users to issue low-latency SQL queries to data stored in Hadoop Distributed File System and Apache Hbase without requiring data movement or transformation. Audience This course is aimed at analysts and data scientists performing analysis on data stored in Hadoop via Business Intelligence or SQL tools. After this course delegates will be able to
  • Extract meaningful information from Hadoop clusters with Impala.
  • Write specific programs to facilitate Business Intelligence in Impala SQL Dialect.
  • Troubleshoot Impala.
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Reference (9)

Many hands-on sessions.

Jacek Pieczątka
Kurz - Administrator Training for Apache Hadoop

Big competences of Trainer

Grzegorz Gorski
Kurz - Administrator Training for Apache Hadoop

practical things of doing, also theory was served good by Ajay

Dominik Mazur - Capgemini Polska Sp. z o.o.
Kurz - Hadoop Administration on MapR

Virtual environment working well and trainer positive attitude

Wojciech Lukawski - Orsted Polska sp. z o.o.
Kurz - Apache NiFi for Developers

I liked trainer's attitude and choice of examples. Trainer was very willing to help and answer questions. Trainer tried to go with as many examples as possible, even though we were short on time.

Waldemar Sobiecki - Orsted Polska sp. z o.o.
Kurz - Apache NiFi for Developers

The trainer is very polite, tolerant, helpful. I was not afraid to ask for help when I couldn't handle something myself. I like that most of the exercises we did together without splitting into separate groups or by ourselves. That way we could ask questions on regular basis.

Elżbieta Doniek - Orsted Polska sp. z o.o.
Kurz - Apache NiFi for Developers

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
Kurz - Big Data Analytics in Health

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
Kurz - Python, Spark, and Hadoop for Big Data

I liked that it managed to lay the foundations of the topic and go to some quite advanced exercises. Also provided easy ways to write/test the code.

Ionut Goga - Accenture Industrial SS
Kurz - Python, Spark, and Hadoop for Big Data

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