Professional Certificate in AWS Data Lakes

Name: Professional Certificate in AWS Data Lakes
Availability: InStock

-- viewing now

The Professional Certificate in AWS Data Lakes is a comprehensive course that provides learners with essential skills for designing, building, and managing data lakes using Amazon Web Services (AWS). This course is vital for professionals seeking to advance their careers in data engineering, analytics, and cloud computing.

5.0

Based on 5,824 reviews

7,811+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

With the increasing demand for big data solutions, there is a growing need for professionals who can leverage cloud-based data lake services. This course equips learners with the necessary skills to design and implement data lakes that can handle large volumes of data, enabling organizations to make data-driven decisions. Through hands-on labs and real-world scenarios, learners will gain expertise in AWS data lake services such as Amazon S3, AWS Glue, and AWS Lake Formation. By the end of the course, learners will be able to demonstrate their proficiency in data lake solutions, making them highly valuable to employers in various industries.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course Details

• Introduction to AWS Data Lakes
• AWS Data Lake Architecture
• Amazon S3 and Data Lake Storage
• AWS Glue: ETL for Data Lakes
• AWS Lake Formation: Security and Governance
• Analytics with AWS Data Lakes: Amazon Redshift
• Analytics with AWS Data Lakes: Apache Spark on Amazon EMR
• Machine Learning with AWS Data Lakes: Amazon SageMaker
• Best Practices for Building and Managing AWS Data Lakes

Career Path

The following Google Charts 3D Pie chart represents the distribution of roles in the AWS Data Lakes domain, an increasingly relevant field in the UK job market. This data-driven visualization highlights the rising demand for specific positions, providing valuable insights for career development and talent acquisition. In the dynamic landscape of cloud computing, AWS (Amazon Web Services) dominates the market, offering an extensive suite of tools and services for efficient data manipulation and management. Among these is the AWS Data Lakes solution, designed for handling vast volumes of data with flexibility and scalability. Consequently, professionals with expertise in AWS Data Lakes are highly sought after, leading to lucrative career opportunities and competitive salary ranges. This chart illustrates the distribution of four primary roles in the AWS Data Lakes domain: Engineer, Consultant, Architect, and Analyst. Let's explore each role and its significance in the industry: 1. **AWS Data Lake Engineer**: As the most prominent role, AWS Data Lake Engineers are responsible for designing, building, and maintaining AWS Data Lakes infrastructures. They ensure seamless integration with other AWS services, optimizing performance, and enforcing security and compliance measures. 2. **AWS Data Lake Consultant**: AWS Data Lake Consultants leverage their extensive experience and industry knowledge to advise clients on best practices and strategies for implementing and managing AWS Data Lakes. They provide guidance on architecture design, performance optimization, and cost management, ensuring clients maximize their return on investment. 3. **AWS Data Lake Architect**: AWS Data Lake Architects are in charge of designing robust, scalable, and efficient AWS Data Lakes architectures that meet clients' unique requirements. They are responsible for selecting the appropriate AWS services and tools, crafting data flow diagrams, and collaborating with project stakeholders to ensure successful implementation. 4. **AWS Data Lake Analyst**: AWS Data Lake Analysts play a critical role in deriving valuable insights from data stored within AWS Data Lakes. They design and execute queries, create reports and visualizations, and collaborate with other team members to ensure data-driven decision-making across the organization. These roles represent a snapshot of the growing AWS Data Lakes landscape, providing essential insights for professionals pursuing a career in this field. With the increasing reliance on data-driven strategies, the demand for these roles is expected to rise, offering exciting opportunities for growth and specialization.

Entry Requirements

Basic understanding of the subject matter
Proficiency in English language
Computer and internet access
Basic computer skills
Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

Not accredited by a recognized body
Not regulated by an authorized institution
Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

▼

How long does it take to complete the course?

▼

What support will I receive during the course?

▼

Is the certificate recognized internationally?

▼

What career opportunities will this course open up?

▼

When can I start the course?

▼

What is the course format and learning approach?

▼

Course fee

Get course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

PROFESSIONAL CERTIFICATE IN AWS DATA LAKES

is awarded to

Learner Name

who has completed a programme at

London School of International Business (LSIB)

Awarded on

05 May 2025

Blockchain Id: s-1-a-2-m-3-p-4-l-5-e

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.