Delta Lake: Syllabus

Mastering Delta Lake: Building Reliable Data Lakes with MinIO

Delta Lake is an open-source storage layer that brings reliability, performance, and ACID transactions to data lakes. This book provides a practical, hands-on approach to setting up, managing, and optimizing Delta Lake for enterprise-scale data processing. With 90% practical implementation, this book ensures readers master Delta Lake concepts, best practices, and real-world integrations using MinIO as the storage backend.

Module 1: Introduction to Data Lake Architecture#

• Understanding the limitations of traditional data lakes
• Data Lake vs. Data Warehouse vs. Delta Lake
• The role of object storage in data lake solutions
• Introduction to MinIO as an S3-compatible storage backend

Module 2: Setting Up Delta Lake with MinIO#

• Installing and configuring MinIO for Delta Lake storage
• Connecting Apache Spark with MinIO using the S3 API
• Creating and managing Delta tables on MinIO
• Understanding the Delta Log and its role in transaction management

Module 3: Delta Lake Core Features and ACID Transactions#

• Schema enforcement and schema evolution in Delta Lake
• Implementing ACID transactions for data reliability
• Handling concurrent writes and reads with optimistic concurrency control
• Versioning and time travel with Delta Lake

Module 4: Data Ingestion and ETL with Delta Lake#

• Batch and streaming data ingestion with Apache Spark
• Using Delta Lake for ETL pipelines
• Handling late-arriving data and updates in Delta tables
• Optimizing data ingestion performance with partitioning and Z-ordering

Module 5: Delta Lake Performance Optimization#

• Data compaction and file optimization techniques
• Caching and indexing for high-performance queries
• Using Delta Caching and Data Skipping for faster data retrieval
• Best practices for scaling Delta Lake with MinIO

Module 6: Data Governance and Security#

• Implementing access control with IAM policies in MinIO
• Auditing and monitoring Delta table changes
• Encrypting Delta tables for data security
• Compliance considerations (GDPR, HIPAA, SOC 2)

Module 7: Integrating Delta Lake with Analytics and ML#

• Querying Delta Lake with Apache Spark and Presto
• Using Delta Lake with Databricks for machine learning
• Building ML feature stores with Delta tables
• Real-time analytics with Delta Sharing and Apache Flink

Module 8: Real-Time Streaming and Change Data Capture (CDC)#

• Implementing Delta Lake as a streaming source and sink
• Using Structured Streaming with Delta tables
• Change Data Capture (CDC) for real-time data updates
• Managing streaming upserts and deletes efficiently

Module 9: Deployment and Cloud-Native Integration#

• Deploying Delta Lake on Kubernetes with MinIO
• Running Delta Lake on AWS, Azure, and GCP with object storage
• Scaling Delta Lake clusters for multi-cloud deployments
• Automating data lake infrastructure with Terraform and Ansible

Hands-On Projects#

Project 1: Building a Data Lake on MinIO with Delta Lake#

• Set up MinIO as an object storage backend
• Create and manage Delta tables for structured and semi-structured data
• Implement data ingestion, transformations, and querying

Project 2: Real-Time Analytics Pipeline with Delta Lake and Spark Streaming#

• Stream data from Kafka into Delta Lake
• Implement schema enforcement and change data capture (CDC)
• Perform real-time analytics and aggregations using Spark SQL

Project 3: Machine Learning Feature Store using Delta Lake#

• Build a feature store using Delta tables
• Integrate Delta Lake with ML models in Databricks or PyTorch
• Implement time travel for model versioning and reproducibility

Project 4: Secure and Scalable Data Lake with IAM and Encryption#

• Implement IAM policies for MinIO and Delta Lake access control
• Encrypt data at rest and in transit using TLS and encryption keys
• Deploy Delta Lake with Kubernetes for high availability and security

Project 5: Cloud-Native Data Lake with Serverless Architectures#

• Deploy Delta Lake with AWS Lambda for serverless processing
• Automate ETL workflows with Apache Airflow and Delta Lake
• Optimize costs with cloud storage tiering and lifecycle policies

References#

• Delta Lake Official Documentation
• MinIO Official Documentation
• Apache Spark and Delta Lake Integration
• Best Practices for Data Lakes