Databricks Certified Data Engineer Associate
The Databricks Certified Data Engineer Associate training enables data professionals to master the fundamental concepts of Data Engineering using Databricks, Apache Spark, and the Lakehouse architecture. Participants will learn how to design reliable data pipelines, transform and process large volumes of data, manage Delta Lake tables, and optimize analytical workflows in modern data engineering environments.
- Reference : 1526
- Duration : 3 Days
- Visitors : 105
What you will learn
- Understand common cybersecurity threats, attacks and vulnerabilities
- Implement security controls adapted to the organisation's risks
- Apply incident management and crisis response principles
- Assess the security posture of an information system and produce recommendations
- Master the tools and techniques used by security professionals
- Pass the official certification exam in the cybersecurity domain
About this course
Databricks Certified Data Engineer Associate — What you need to know
Total duration
Databricks Certified Data Engineer Associate
As organizations continue to generate massive amounts of data, modern data platforms must enable teams to collect, transform, and analyze data at scale.
Databricks provides a unified platform built on Apache Spark and the Lakehouse architecture, allowing organizations to efficiently manage large-scale data pipelines, analytics workflows, and data processing tasks.
The Databricks Certified Data Engineer Associate training helps participants develop the skills needed to design, build, and maintain robust data pipelines within the Databricks ecosystem.
During this training, participants will learn to:
• Understand the core concepts of Databricks and the Lakehouse architecture
• Process and manipulate data using Apache Spark and Spark SQL
• Design and orchestrate reliable and automated data pipelines
• Manage Delta Lake tables and ACID transactions
• Implement data performance optimization strategies
• Build workflows for batch and streaming data processing
• Monitor and maintain production data pipelines
Who is this course for?
Target profiles and expected levels
IT professionals looking to specialise in cybersecurity
Security auditors and IT risk consultants
Chief Information Security Officers (CISOes)
Developers looking to integrate security best practices into their code
Managers and decision-makers involved in their organisation's security policy
Anyone preparing for a recognised cybersecurity certification
Course Program
Databricks and Apache Spark Fundamentals
1 modules- 01Databricks and Apache Spark FundamentalsIntroduction to the Databricks platform and Lakehouse architecture Core concepts of modern data engineering Overview of Apache Spark distributed architecture Data manipulation using Spark SQL and DataFrames Data ingestion from multiple sources Data exploration and transformation using Databricks notebooks Managing Databricks workspaces and clusters
Why Choose Our Course?
What sets us apart from other training centers
Training aligned with the latest cybersecurity frameworks and standards
Practical workshops including realistic attack and defence scenarios
Expert trainers in offensive and defensive security with field experience
Intensive certification exam preparation with mock exams included
Virtual lab environment to practise safely in a controlled context
Certification valued by employers in both public and private sectors
Frequently Asked Questions (FAQ)
Everything you need to know before enrolling
Basic knowledge of programming (Python or SQL) and data manipulation is recommended.
The program is delivered by Databricks-certified experts and experienced data engineering professionals.
You will gain advanced skills in building data pipelines, managing big data platforms, and optimizing large-scale data processing, which are highly valued in data engineering roles.
