is a one-day event dedicated to everyone who wants to get to know with Big Data and Hadoop ecosystem. Participants will discover technologies such as Hadoop, Hive, Spark, Flink and Kafka by the most practical approach.

NOT SCHEDULED If you are interested in, please contact us
1-day training

Target audience

e.g. Hadoop, Hive, Spark, Flink and Kafka

Workshop overview

During the workshop you’ll act as a Big Data engineer and analyst working for a fictional company StreamRockTM that creates an application for music streaming (Spotify alike). The main goal of your work is to take advantage of Big Data technologies such as Hadoop, Spark or Hive to analyze various datasets about the users and the songs they played.  We will process data in a batch manner to get the data-driven answers to important business questions. Every exercise will be executed on a remote multi-node Hadoop cluster.


The workshop is highly focused on a practical experience. Instructors will not only teach you all the important theory but will also share their experience gained from working with Big Data technologies for several years.

This training is dedicated to everyone who is interested in Big Data technologies. It is particularly useful for analysts, engineers, and managers that want to start their adventure with Hadoop.

All you need to fully participate in our training program is a laptop with the web browser, Shell terminal (e.g. Putty) and the wi-fi connection. Our workshops are mostly technical (and some business), however you do not need to have previous experience with Big Data technologies.

Course agenda*


Introduction to the Big Data and Apache Hadoop

  • Description of the StreamRock company along with all its opportunities and challenges that come from the Big Data technologies.
  • Introduction to core Hadoop technologies such as HDFS or YARN.
  • Hands-on exercise: Accessing a remote multi-node Hadoop cluster.


Providing data-driven answers to business questions using SQL-like solution

  • Introduction to Apache Hive.
  • Hands-on exercise: Importing structured data into the cluster using HUE.
  • Hands-on exercise: Ad-hoc analysis of the structured data with Hive.
  • Hands-on exercise: The visualisation of results using HUE.


Implementing scalable ETL processes on the Hadoop cluster

  • Introduction to Apache Spark, Spark SQL, and Spark DataFrames.
  • Hands-on exercise: Implementation of the ETL job to clean and massage input data using Spark.
  • A quick explanation of the Avro and Parquet binary data formats.
  • Practical tips for implementing ETL processes like process scheduling, schema management, integrations with existing systems.


Advanced analysis of the diversified datasets

  • Hands-on exercise: Implementing ad-hoc the queries using Spark SQL and DataFrames.
  • Hands-on exercise: Visualisation of the results of Spark queries using the Spark Notebook.

* GetInData reserves the right to make any changes and adjustments to the presented agenda.


Our workshops and training programs are organized by experienced instructors with many years of real-life Big Data experience. Get to know with our team!

More information

The workshop will last for 8 full hours, so you should reserve yourself a full 1 day. Of course, there will be coffee and lunch breaks during the training.

Contact person

Piotr Krewski
+48 888 185 137

Klaudia Zdunczyk
+48 663 422 641


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