
Let's discuss what you'll learn in this course on Data Platforms
A brief history on how data systems evolved over time and led to emergence of modern data platforms
Let's formally define data platforms and their building blocks
How Cloud revolutionized how the data platforms are architected
Defining data ingestion
What are some common data sources for ingestion?
Key steps in the data ingestion process
Three data ingestion modes - batch, stream and micro-batch
Two popular data ingestion patterns - ETL and ELt
Let's discuss 2 popular data ingestion tools - Apache Airflow and Fivetran
Apache Kafka is a very popular data streaming solution. Let's understand the basics in this lecture
Let's understand some of the common challenges w.r.t. data ingestion
Let me share some of the best practices to keep in mind when implementing data ingestion pipelines
Understand what is the role of data storage in a modern data platform
Learn about 3 popular data storage mechanisms / tools
Let's learn the fundamentals of a data warehouse
Learn the fundamentals of a Data Lake and find out how it differs from Data Warehouses
What are the shortcomings of a Data lake and how Apache Iceberg solves them?
How Data Lakehouse gives you the best of both worlds
Learn the industry best practices related to data storage
In this section, let's discuss an essential component of Data Platforms - Data Serving Layer
What are Data Services and what are the common patterns & implementations of data services
Let's understand Data visualization, which is a key component of data platforms
Understand and derive insights from data using Data Analytics tools and systems
Understand the fundamentals of AI and Machine Learning in the context of data platforms
Here are some of the best practices to keep in mind, when building the Data serving layer
In this lecture, let's discuss data governance which is a primary and key undercurrent of a data platform
Security is another important undercurrent of data platforms and let's look at the details in this lecture, including the differences between security and privacy
Ensuring the data quality and usability is maintained through the data platform, a robust observability system is essential. Let's understand more in this lecture
A recap of what you've learned and where to go from here
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 platform
Learn Best Practices - What are the best practices and proven methods to build a robust data platform
Deep-dive into Data Ingestion, Storage and Serving - Key aspects of Data Platforms and technologies that you can use to implement these in your organization
Understand the undercurrents of a Data Platform - Learn about core tenets of Data Governance, Security and Observability
Data Awareness - Gain skills to engage in data platform conversations within your organization, whether it is with technical teams or senior stakeholders
Implementation Confidence - Complete the course with the ability to build production-grade data platforms independently
Career Advancement - Position yourself for roles requiring data architecture and platform development expertise
This 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.