To wersja testowa nowego serwisu infoShare Academy — wyświetlane treści i oferta nie są wiążące ani kompletne

Data

Pipelining / ETL

The “ETL Pipeline Development” training is a comprehensive course aimed at equipping participants with the skills necessary to design, implement, and manage ETL processes.

Duration
16h · 2 days
Ask about the program → See all
Who it's for

Ideal for teams that…

1 The training is dedicated to data analysts, data engineers, developers, and anyone who wants to learn how to create and manage ETL processes to effectively use data in their organizations.
Outcomes after the program

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

✓

Design and implement effective ETL processes – gain the skills necessary to build efficient data pipelines

✓

Practical work with ETL tools – learn to use Apache Airflow and Talend, two leading tools for ETL process management

✓

Manage complex data workflows – master techniques for monitoring, debugging, and optimizing ETL processes

Requirements

What you should know before we start

  • Basic knowledge of the Python programming language
  • Basic understanding of databases and SQL
  • Understanding of fundamental data processing concepts
Program

What we actually do

Day 1: ETL Fundamentals and Apache Airflow

  • · Overview of ETL processes and their role in data processing
  • · Discussion of common ETL tools and platforms
  • · Installation and configuration of Apache Airflow
  • · Creating your first Directed Acyclic Graphs (DAGs)
  • · Best practices for pipeline design and modeling
  • · Implementing simple ETL processes in Airflow

Day 2: Advanced Techniques and Talend

  • · Using operators effectively
  • · Monitoring and debugging data pipelines
  • · Installation and configuration of Talend
  • · Creating ETL processes using the graphical interface
  • · Best practices for advanced data modeling
  • · Integrating ETL processes with various data sources
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.

Other programs for teams

See all →
Data

Active Directory

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

16h · 2 days →
Data

AI SQL Developer

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

24h · 3 days →
Data

Amazon Redshift - Introductory Training

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

16h · 2 days →