Course code: PYTH4« Back

Python IV - BigData a Hadoop

Big Data is now collided in many areas and sectors of the national economy, and it is therefore necessary not only to gain theoretical knowledge but also practical experience with the processing of large amounts of data. The course introduces Big Data development in the Python programming language environment. Python is now the No. 1 language not only for application developers, data analysts but especially for Data Science professionals.

 DateDurationCourse priceHandbook priceCourse languageLocation 
3/23/2020 5 34 500 CZK included in course price Český jazyk GOPAS Brno_GTT
6/1/2020 5 34 500 CZK included in course price Český jazyk GOPAS Brno_GTT

AffiliateDurationCatalogue priceHandbook priceITB
Praha5 34 500 CZK included in course price 50
Brno5 34 500 CZK included in course price 50
Bratislava5 1 250,00 EUR included in course price 50

User intensity level

Previous courses

Who the course is for:

  • Data Scientist are the primary interested parties. This course will help you unleash the power of Spark and leverage your Python, R, and machine learning background.
  • Software developers with a focus on Python will readily expand their skills to create data-intensive apps using Spark as a processing engine and Python visualization libraries and web frameworks.
  • Data architects who can create rapid data pipelines and build the famous Lambda architecture that encompasses batch and streaming processing to render insight on data in real time, using the Spark and Python rich ecosystem, will also from this training.

Teaching methods:

  • Professional explanation with practical samples and examples.

Teaching materials:

  • Powerpoint handouts and module printouts.

Course syllabus:

  • Hadoop Distributed File System (HDFS)
  • MapReduce with Python
  • Pig and Python
  • Spark with Python
  • Setting Up a Spark Virtual Environment
  • Building Batch and Streaming Apps with Spark
  • Juggling Data with Spark
  • Learning from Data using Spark
  • Streaming Live Data with Spark
  • Visualizing Insights and Trends
  • Workflow Management with Python (Oozie)

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Tištěné nebo elektronické studijní materiály GOPAS

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