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Data

Modern Data Architectures

This training is designed for professionals working with data who want to learn and implement modern data architecture models.

Duration
24h · 3 days
Ask about the program → See all
Who it's for

Ideal for teams that…

1 Data Engineers, Data Analysts, Data Designers who want to deepen their knowledge of modern data architectures and models
2 Solution Architects designing data environment solutions
3 Professionals involved in implementation projects, warehouse modernization, and building Data Lakes/Lakehouses
Outcomes after the program

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

✓

Choose the right data architecture for organizational goals and scale

✓

Differentiate approaches: Data Vault, Lakehouse, Medallion, Kimball, Inmon

✓

Understand types of architectures, their pros/cons, and implementation methods

✓

Learn data processing methods (ETL/ELT processes)

Requirements

What you should know before we start

  • Ability to run a Python environment (3.10 or higher)
  • Ability to work with Docker
Program · 3 modules

What we actually do

Day 1: Data Foundations and Architectures

M01
Day 1: Data Foundations and Architectures
  • · Introduction
  • · Data basics: data types, normalization, standardization
  • · Data structures
  • · Inmon architecture
  • · Kimball architecture
  • · Data Vault architecture

Day 2: Modern Data Platforms and Architectures

M02
Day 2: Modern Data Platforms and Architectures
  • · Table format overview
  • · Introduction to Apache Spark
  • · Data Lake architecture
  • · Data Lakehouse architecture
  • · Medallion architecture
  • · Unity Catalog

Day 3: Data Engineering, Governance, and Quality

M03
Day 3: Data Engineering, Governance, and Quality
  • · Implementing ETL and ELT processes
  • · Data Governance
  • · Data Compliance
  • · Data Quality and Data Profiling
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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