Cloudera Official Training for Data Analyst

Cloudera

Become an expert Apache Hadoop data analyst

Official Training and Certification in Cloudera:

Analyze big data at the speed of thought using real-time SQL query and data science. Perform critical analyses, drive business intelligence, and develop sophisticated tools on massive data sets utilizing the full toolkit of Hadoop ecosystem projects.

Tools like Impala, Hive, and Pig have enabled real-time analytics and business intelligence directly on massive-scale data for the first time. Cloudera delivers the full toolkit data analysts, BI specialists, and data scientists need to access, manage, and perform critical analyses on big data in Hadoop.

Cloudera Training Partner

Analyzing with Cloudera Data Warehouse

Duración: 28 h. Precio: 1840 €

Analyzing with Cloudera Data Warehouse - Italian

Duración: 28 h. Precio: 2685 €

Analyzing with Cloudera Data Warehouse - Virtual English

Duración: 28 h. Precio: 2970 €

PRÓXIMAS CONVOCATORIAS

Note: The prices indicated below do not include 21% VAT.
08 Jul 2024
11 Jul 2024
Analyzing with Cloudera Data Warehouse - Italian
28 horas | 2685 € Live Virtual Class | Italiano | De Lunes a Jueves (09:00h - 17:00h)
  Inscribirme + INFO
09 Sep 2024
12 Sep 2024
Analyzing with Cloudera Data Warehouse - Virtual English
28 horas | 2970 € Live Virtual Class | Inglés | De Lunes a Jueves (09:00h - 17:00h)
  Inscribirme + INFO
16 Sep 2024
19 Sep 2024
Analyzing with Cloudera Data Warehouse
28 horas | 1840 € Live Virtual Class | Español | De Lunes a Jueves (09:00h - 17:00h)
  Inscribirme + INFO
28 Oct 2024
31 Oct 2024
Analyzing with Cloudera Data Warehouse - Italian
28 horas | 2685 € Live Virtual Class | Italiano | De Lunes a Jueves (09:00h - 17:00h)
  Inscribirme + INFO
25 Nov 2024
28 Nov 2024
Analyzing with Cloudera Data Warehouse - Virtual English
28 horas | 2970 € Live Virtual Class | Inglés | De Lunes a Jueves (09:00h - 17:00h)
  Inscribirme + INFO
25 Nov 2024
28 Nov 2024
Analyzing with Cloudera Data Warehouse
28 horas | 1840 € Live Virtual Class | Español | De Lunes a Jueves (09:00h - 17:00h)
  Inscribirme + INFO