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Data

Apache Spark

The Apache Spark Training is an intensive two-day course focused on the practical application of this popular framework for processing large datasets.

Duration
16h · 2 days
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Who it's for

Ideal for teams that…

1 Developers and data engineers who want to expand their skills with Apache Spark.
2 Data scientists and data analysts aiming to process large datasets efficiently.
3 IT and big data specialists looking to leverage Apache Spark in their projects.
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

How to install and configure Apache Spark in various environments.

✓

How to process and analyze data using RDDs, DataFrames, and Spark SQL.

✓

How to optimize queries and manage resources in Apache Spark.

✓

How to deploy Apache Spark applications in a production environment.

Requirements

What you should know before we start

  • Basic knowledge of programming in Python or Scala.
  • Basic understanding of data processing.
  • Ability to work in a Unix/Linux environment.
Program

What we actually do

Day 1: Introduction to Apache Spark and Data Processing Basics

  • · History and development of Apache Spark
  • · Architecture and main components (RDD, DataFrame, Spark SQL)
  • · Installing Apache Spark and dependencies
  • · Configuring the working environment (Standalone, Hadoop, AWS)
  • · Working with files: JSON, CSV, XML, TXT, Parquet, AVRO
  • · Transformations and Actions (lazy evaluation)

Day 2: Advanced Techniques and Practical Applications

  • · Creating and managing DataFrames
  • · Querying large datasets with Spark SQL
  • · Sorting, grouping, and filtering data
  • · Transformations using map, flatMap, and UDF functions
  • · Window and analytical functions
  • · Implementing operations on DataFrames and SQL queries
  • · Analyzing large datasets using Spark SQL
  • · Query optimization and Spark performance techniques
  • · Memory management and resource allocation
  • · Partitioning and efficient data writing
  • · Preparing and exporting Spark applications
  • · Deploying applications in production environments
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

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