Data Platforms Made Easy

Master the fundamentals of data platforms, understand essential components, their purpose and relevance in an enterprise

What you'll learn

Define a data platform and its significance in an enterprise ecosystem

Understand and explain the core components of an enterprise data platform

Lead discussions with technical and executive stakeholders in your organization, on data platforms

Develop a strong foundation to further learn and enhance your skills around Data, AI and Machine Learning

Requirements

No programming or development experience needed. Awareness of Enterprise IT ecosystem is preferred but not mandatory

Description

Welcome to Data Platforms Made Easy: Mastering the Fundamentals!In today's data-driven environment, building effective data platforms has become a critical competency for organizations seeking competitive advantage. This course provides a structured approach to understanding and implementing data platforms that deliver measurable business value.Data Platforms Made Easy distills complex architectural concepts into practical, applicable knowledge. You'll develop the skills to design, build, and optimize data infrastructure that scales with your organization's needs without unnecessary complexity.Key Benefits & Takeaways:Understand Data Platforms - Learn the building blocks and core components of what makes a robust data platformLearn Best Practices - What are the best practices and proven methods to build a robust data platformDeep-dive into Data Ingestion, Storage and Serving - Key aspects of Data Platforms and technologies that you can use to implement these in your organizationUnderstand the undercurrents of a Data Platform - Learn about core tenets of Data Governance, Security and ObservabilityData Awareness - Gain skills to engage in data platform conversations within your organization, whether it is with technical teams or senior stakeholdersImplementation Confidence - Complete the course with the ability to build production-grade data platforms independentlyCareer Advancement - Position yourself for roles requiring data architecture and platform development expertiseThis course is suitable for data engineers, software developers transitioning to data roles, and IT professionals seeking to expand their technical portfolio. All concepts are reinforced through quizzes based on the topics learned.Join us to transform your approach to data platform development and implementation.

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 History of Data Systems

Lecture 3 Defining Data Platforms

Lecture 4 Cloud and Data Platforms

Section 2: Data Ingestion & Processing

Lecture 5 What is Data Ingestion?

Lecture 6 Common Data Sources

Lecture 7 Data Ingestion Process

Lecture 8 Batch, Real-time and Micro-batches

Lecture 9 ETL and ELT

Lecture 10 Data Ingestion Tools - Airflow, Fivetran

Lecture 11 Data Streaming Tools - Kafka

Lecture 12 Key Data Ingestion Challenges

Lecture 13 Ingestion Patterns and Best Practices

Section 3: Data Storage

Lecture 14 What is Data Storage?

Lecture 15 3 Common Data Storage Tools

Lecture 16 Data Warehouses

Lecture 17 Data Lakes

Lecture 18 Introducing Open table format with Apache Iceberg

Lecture 19 Data Lakehouses

Lecture 20 Storage Patterns and Best Practices

Section 4: Data Serving

Lecture 21 What is Data Serving?

Lecture 22 Data Services

Lecture 23 Data Visualization

Lecture 24 Data Analytics

Lecture 25 AI & Machine Learning

Lecture 26 Serving Best Practices

Section 5: Undercurrents of a Data Platform

Lecture 27 Data Governance

Lecture 28 Security

Lecture 29 Observability

Section 6: Conclusion and Next Steps

Lecture 30 Conclusion & Next Steps

IT Engineers, Project Managers and Tech Leads who want to understand the fundamentals of a Data Platform,Any tech and data enthusiast who wants to understand how data platform works