Advanced Spark Training

This 2-day training is dedicated to Big Data engineers and data scientists who are already familiar with the basic concepts of Apache Spark and have hands-on experience implementing and running Spark applications.

Training outcome

Participants will develop knowledge of advanced aspects of working with Apache Spark and will be able to use this to optimise and streamline Spark applications as well as integrate Spark with external data sources and sinks.

Course agenda^*

Day 1

Apache Spark Training

Introduction
- Overview of Interactive Notebooks
- How to set up interactive environment for Spark
Spark Optimisation
- Parquet Optimisations
- RDD vs Dataframes performance
- Eliminating Shuffle
- Controlling number of partitions
- Exercise
Datasets
- Introduction to Datasets
- RDD vs Datasets vs Dataframes
- Sample: how to process MAX_INT_VALUE records in 2 sec
- Encoders - Object Serialization in Spark
- Exercise: Working with Datasets

Day 2

Spark Advanced

YARN
- Architecture details
- Advanced configuration settings important for Spark applications
Developer skills
- Testing Spark code
- Structuring Spark applications (clean code principles)
- Scala API tips
- Exercise
Spark 2.0
- New features at glance
- SparkSession
- Unifying DataFrames and Datasets
- Nested queries
- Whole Stage Codegen
- Vectorized reader
- Exercise

^* 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

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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