Data Transformation in the Cloud Training

Live Online & Classroom Enterprise Training

Learn how to transform, clean, and prepare data using modern cloud platforms and tools. This course focuses on scalable data transformation techniques, cloud-native services, and automation methods used in real-world cloud data pipelines.

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What is Data Transformation in the Cloud Course about?

Data transformation is a critical step in modern data engineering and analytics workflows. This course introduces learners to cloud-based data transformation concepts, tools, and best practices. Participants will learn how to design transformation pipelines, process structured and unstructured data, and implement scalable ETL/ELT solutions using cloud technologies. The course also covers automation, performance optimization, and monitoring strategies for cloud data transformation environments.

What are the objectives of Data Transformation in the Cloud Course ?

Understand cloud-based data transformation concepts and architectures
Learn how to design scalable ETL and ELT pipelines
Implement data cleaning and data preparation techniques
Work with cloud-native transformation tools and services
Monitor and optimize transformation performance in the cloud

Who is Data Transformation in the Cloud Course for?

Data Engineers working with cloud data platforms
Cloud Engineers handling data workloads
Data Analysts moving to cloud-based data systems
ETL Developers transitioning to cloud environments
IT Professionals interested in cloud data processing

What are the prerequisites for Data Transformation in the Cloud Course?

Prerequisites:

Basic understanding of databases and SQL
Fundamental knowledge of cloud computing concepts
Basic scripting knowledge (Python or similar)
Understanding of data formats (CSV, JSON, Parquet)
Familiarity with data warehousing concepts

Learning Path:

Cloud Data Fundamentals
Data Storage and Data Ingestion in the Cloud
Data Transformation Techniques and Tools
Building Cloud Data Pipelines
Data Monitoring, Optimization, and Automation

Related Courses:

Cloud Data Engineering Fundamentals
Data Management and Storage in the Cloud
Cloud Data Warehousing and Analytics
Big Data Processing in the Cloud

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Data Transformation in the Cloud

Alyx: Data analysts help others learn from data

Stages of the data journey

Steps for effective data collection

The process stage ensures clean and consistent data

Manual and automated transformation

Module 2: Handle Raw Data with Data Pipelines

Data pipelines in the cloud

Alyssa: Improve systems by collecting data and asking questions

The difference between ELT and ETL

Data ingestion methods that suit your needs

Data mapping helps ensure consistent data

Introduction to profiling and cleaning data

Common ways to manipulate data

Different approaches to loading data

Overview of data validation strategies and rules

Module 3: Cloud Data Optimization Strategies

Challenges of data transformation

Data aggregation can make it easier to extract meaningful insights

Consequences of duplicate data and how to eliminate it

Overview of how joins combine data from different tables

Data derivation to combine data and obtain new insights

Lauren: What makes candidates stand out

Lauren and Ela: Interview role play

Who is the instructor for this training?

The trainer for this Data Transformation in the Cloud Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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