Big Data Workshop

A one-day workshop focused on the practical side of using open-source, Big Data technologies. Participants will learn the basics of the most popular Big Data tools and technologies like: Hadoop, Hive, Spark and Kafka.

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.

Training outcome

During the workshop you will act as a Big Data engineer and analyst working for a fictional company StreamRockTM that creates an application for music streaming (like Spotify). The main goal of your work is to take advantage of Big Data technologies such as Hadoop, Spark or Hive to analyse 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. Each exercise will be executed on a remote multi-node Hadoop cluster.

Course agenda^*

Part 1

Introduction to Big Data and Apache Hadoop

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

Part 2

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.

Part 3

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.
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.

Part 4

Advanced analysis of the diversified datasets

Hands-on exercise: Implementing ad-hoc 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.

Instructors

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

More information

The workshop will last full 8 hours, so you should reserve a full day. Of course, there will be coffee and a lunch break during the training. Training materials will be made available to all participants in PDF format.

Contact person

Klaudia Wachnio

klaudia@getindata.com

off

Piotr Krewski

piotr@getindata.com

+48 888 185 137

Testimonials

Completed in half the estimated time and with a fivefold improvement on data collection goals, the robust product has exponentially increased processing capabilities. GetInData’s in-depth engagement, reliability, and broad industry knowledge enabled seamless project execution and implementation.

Wojciech Ptak

CTO

GetInData had been supporting us in building production Big Data infrastructure and implementing real-time applications that process large streams of data. In light of our successful cooperation with GetInData, their unique experience and the quality of work delivered, we recommend the company as a Big Data vendor.

Miłosz Balus

CTO

GetInData delivered a robust mechanism that met our requirements. Their involvement allowed us to add a feature to our product, despite not having the required developer capacity in-house.

Stephan Ewen

CTO

Their consistent communication and responsiveness enabled GetInData to drive the project forward. They possess comprehensive knowledge of the relevant technologies and have an intuitive understanding of business needs and requirements. Customers can expect a partner that is open to feedback.

Wilson Yu Cao

Development Team Manager

We sincerely recommend GetInData as a Big Data training provider! The trainer is a very experienced practitioner and he gave us a lot of tips regarding production deployments, possible issues as well as good practices that are invaluable for a Hadoop administrator.

Mariusz Popko

Platform Manager

The engineers and administrators at GetInData are world-class experts. They have proven experience in many open-source technologies such as Hadoop, Spark, Kafka and Flink for implementing batch and real-time pipelines.

Kostas Tzoumas

CEO

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