Course Overview

Introduction

Building Data Lakes on AWS is an essential course designed to equip IT teams with the skills to handle vast amounts of data effectively using AWS cloud services. Participants will learn to architect and manage data lakes that are scalable, secure, and highly efficient.

Business Relevance

This course empowers IT teams to manage, analyze, and derive insights from massive datasets, driving improved decision-making. It enhances operational efficiency and enables organizations to leverage the power of cloud-based data storage and analytics, ensuring that business data is organized and accessible for growth and innovation.

Target Area

Cloud Management and Data Engineering. This training supports teams looking to optimize their cloud infrastructure, centralize data storage, and enhance analytical capabilities.

What You’ll Learn & Who Should Enroll

Key Topics Covered:

• Introduction to Data Lakes on AWS: Understand the fundamentals and architecture of data lakes on AWS.
• AWS Storage Services: Explore the tools for storing, organizing, and retrieving data in AWS, such as S3, Glacier, and more.
• Data Ingestion and ETL Pipelines: Learn how to ingest, transform, and load data into a data lake using AWS tools.
• Data Security & Compliance: Implement best practices for securing sensitive data within the AWS ecosystem.
• AWS Analytics Services: Use AWS analytics tools like AWS Athena, Redshift, and EMR to gain insights from the stored data.

Ideal Participants:

This course is ideal for professionals directly involved in managing and optimizing cloud data storage and analytics solutions, including:

• Cloud Architects & Engineers: Those responsible for building and maintaining cloud infrastructure, data lakes, and scalable storage solutions.
• Data Engineers & Analysts: Professionals handling data ingestion, processing, and analytics who need to work with large datasets in cloud environments.
• Security & Compliance Officers: Individuals focused on securing data, managing access, and ensuring regulatory compliance in cloud-based data storage.
• IT Managers & Business Executives: Decision-makers responsible for overseeing data strategies, infrastructure, and aligning IT operations with business goals.

Business Applications & Next Steps

Key Business Impact:

• Enhanced Security & Compliance: Implement robust security measures for sensitive data and comply with data privacy regulations.
• Improved IT Governance: Create and enforce best practices for cloud data management and risk mitigation.
• Operational Efficiency: Enable seamless data flow, access, and analytics to accelerate digital transformation.

Next-Level Training:

To further build expertise, consider Acumen IT Training’s specialized services:

• Building Streaming Data Analytics Solutions on AWS: Deep dive into real-time data processing with AWS. Learn how to design and implement data analytics solutions that handle continuous data streams for real-time insights and business intelligence.
• Building Batch Data Analytics Solutions on AWS: Master batch processing for large datasets with AWS services. Gain expertise in building efficient, high-performance data pipelines that process data in batches, making it easier to handle large volumes of historical data.

Why Choose Acumen IT Training?

• Enterprise-Focused Curriculum: Designed specifically for the challenges and demands of corporate IT environments.
  
• Qualified-Led Training: Learn from seasoned industry professionals with extensive real-world experience.
  
• Business-Driven Learning: Benefit from practical applications that directly impact your organization’s performance.
  
• Flexible Training Options: Choose from Online, Hybrid Training, Instructor-Led On-Site (at your location or ours), and Corporate Group Sessions.
  

For the full course outline, schedules, and private corporate training inquiries, contact us at Acumen IT Training.