Duration36 hours — 12 sessions over 6 weeks
FormatRemote
Group size10 people maximum
PricingQuote-based — 10% deposit at registration
Bonus — included Mock exam + certification voucher for the Databricks Certified Associate Developer for Apache Spark 3.0 - Python
Program — 36 hours

From Python fundamentals to a production-style data pipeline

12 sessions over 6 weeks. Here is the module breakdown, with the hours dedicated to each.

1

Python (6h)

Syntax, examples and exercises: variables, functions, exceptions, the requests library and more.

2

Introduction to Big Data (3h)

How and why: the 3 Vs, clusters, scalability and the CAP theorem, plus an overview of SQL vs. NoSQL databases.

3

Hadoop (6h)

Core components (HDFS/YARN) with hands-on HDFS CLI and YARN UI exercises, MapReduce examples, and the Hadoop ecosystem (Pig/Hive) with Hive exercises.

4

Apache Spark (9h)

Core components (Spark SQL, ML, Streaming, GraphX, RDD/DataFrame) covered theoretically, then applied through hands-on batch data processing examples and exercises.

5

Airflow (3h)

Installing and configuring Airflow to orchestrate data pipelines.

6

Capstone project (6h)

Collect, store and analyze airline company data end-to-end using Hadoop, Hive, Spark and Airflow together.

7

Mock exam (3h)

A full mock exam for the Databricks Certified Associate Developer for Apache Spark 3.0 - Python certification.

Prerequisites

Who is this training for?

This training is designed for professionals and students who want to specialize in data engineering. Some technical background is recommended:

  • ✓ Basic algorithmic thinking
  • ✓ SQL basics
  • ✓ Linux basics (command line)

How to register

Registration is confirmed upon receipt of a 10% deposit of the training fee. The balance is paid according to the terms communicated at registration.

Feedback

Reviews from our former trainees

★★★★★

"A high-quality training featuring the latest Big Data technologies, combining theory with a strong practical focus. Led by a patient, skilled instructor who explains things clearly and makes the material easy to absorb. I highly recommend it."

A.
Former traineeBig Data cohort
★★★★★

"An enlightening course that exceeded my expectations — rich content blending theory and practice in real depth, with real business examples that made it even more valuable. It was run by an engineer with excellent teaching and presentation skills, clearly very experienced with the material. His professional, thought-provoking and engaging approach was much appreciated. Definitely recommend."

B.
Former traineeBig Data cohort
★★★★★

"A high-quality training with very rich content and interesting hands-on applications. The instructor is a true expert in the field with a perfect command of the topics covered, and is genuinely generous with his expertise. I highly recommend it."

C.
Former traineeBig Data cohort
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