The Building Data Lakes on AWS Training in New Zealand course teaches participants how to design, build, secure, and manage modern data lake architectures using Amazon Web Services (AWS). Through a combination of theory and hands-on exercises, learners will explore how to ingest, catalog, transform, analyse, and visualise both structured and unstructured data within a scalable cloud-based environment.

Participants will gain practical experience with key AWS analytics services, including AWS Lake Formation, AWS Glue, Amazon Athena, and Amazon QuickSight, while learning industry best practices for data governance, security, and operational efficiency.

Designed for data professionals and solution architects, this course provides the knowledge and skills required to implement secure, scalable, and analytics-ready data lake solutions on AWS. The course is part of the Building Modern Data Analytics Solutions on AWS training collection.

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Participants should have:

Completed AWS Technical Essentials
One year of experience building data analytics pipelines
Knowledge equivalent to Data Analytics Fundamentals

Who Should Attend

This course is intended for:

Data Platform Engineers
Data Engineers
Solutions Architects
Cloud Architects
IT Professionals
Technical teams building analytics and data lake platforms

What You Will Learn

By the end of this Building Data Lakes on AWS Training in New Zealand, you will have gained knowledge and skills in the following areas:

Apply data lake methodologies to data lake planning and design.
Describe the AWS services required to build a data lake.
Secure a data lake with appropriate permissions.
Ingest, store, and transform data within a data lake.
Build a data catalog using AWS Glue.
Query and analyse data using Amazon Athena.
Visualise data using Amazon QuickSight.
Apply security and access control best practices in data lake architectures.

Training Outline

Module 1: Introduction to Data Lakes

Value of Data Lakes
Data Lakes vs Data Warehouses
Data Lake Components
Common Data Lake Architectures

Module 2: Data Ingestion, Cataloging, and Preparation

Relationship Between Data Lake Storage and Data Ingestion
AWS Glue Crawlers
AWS Glue Data Catalog
Data Formatting
Partitioning and Compression
Efficient Storage and Query Design

Lab 1: Set Up a Simple Data Lake

Basic Data Lake Configuration
Data Ingestion and Cataloging

Module 3: Data Processing and Analytics

Data Processing in a Data Lake
Data Transformation with AWS Glue
Querying Data with Amazon Athena
Analytics Use Cases

Module 4: Building a Data Lake with AWS Lake Formation

AWS Lake Formation Features
Creating Data Lakes with Lake Formation
Lake Formation Security Model
Permissions and Access Management

Lab 2: Build a Data Lake Using AWS Lake Formation

Lake Formation Configuration
Security and Access Controls

Module 5: Additional Lake Formation Configurations

Blueprints and Workflows
Lake Formation Automation
Security and Access Controls
AWS Lake Formation FindMatches
Data Visualisation with Amazon QuickSight

Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints

Blueprint-Based Automation
Workflow Configuration

Lab 4: Data Visualisation Using Amazon QuickSight

Dashboard Creation
Analytics Reporting

Module 6: Architecture and Course Review

Knowledge Check
Architecture Review
Course Summary
AWS Data Lake Best Practices

Why Choose Us

Experience Building Data Lakes on AWS in New Zealand through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
Flexible and Scalable Delivery: Access live virtual classrooms from New Zealand and worldwide, with flexible planning options for individual and corporate training needs.

Experience Building Data Lakes on AWS in a focused classroom environment in New Zealand. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Building Data Lakes on AWS in New Zealand solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Building Data Lakes on AWS Training in New Zealand

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1: Introduction to Data Lakes

Module 2: Data Ingestion, Cataloging, and Preparation

Lab 1: Set Up a Simple Data Lake

Module 3: Data Processing and Analytics

Module 4: Building a Data Lake with AWS Lake Formation

Lab 2: Build a Data Lake Using AWS Lake Formation

Module 5: Additional Lake Formation Configurations

Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints

Lab 4: Data Visualisation Using Amazon QuickSight

Module 6: Architecture and Course Review

Why Choose Us

Building Data Lakes on AWS Training Course in New Zealand Schedule

Blog posts related to Building Data Lakes on AWS Training Course in New Zealand

Building Data Lakes on AWS Training in New Zealand

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1: Introduction to Data Lakes

Module 2: Data Ingestion, Cataloging, and Preparation

Lab 1: Set Up a Simple Data Lake

Module 3: Data Processing and Analytics

Module 4: Building a Data Lake with AWS Lake Formation

Lab 2: Build a Data Lake Using AWS Lake Formation

Module 5: Additional Lake Formation Configurations

Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints

Lab 4: Data Visualisation Using Amazon QuickSight

Module 6: Architecture and Course Review

Why Choose Us

Online Instructor-Led Training (VILT)

Classroom-Based Training

Onsite / In-House Training

Building Data Lakes on AWS Training Course in New Zealand Schedule

Blog posts related to Building Data Lakes on AWS Training Course in New Zealand

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