Data Engineering Hub

Pipeline Explosion & Small Data

Navigate the explosion in total number of pipelines with much smaller data volumes. Learn to manage thousands of micro-pipelines while maintaining data quality and operational efficiency.

Small Data • Pipeline Management • Data Quality • Micro-pipelines

Cloud-Native Data Solutions

Master cloud-native data architectures with 74% of enterprises using cloud services. Learn serverless data processing, managed services, and multi-cloud data strategies.

Cloud-Native • Serverless • Multi-Cloud • Managed Services

AI-Powered Data Pipelines

Integrate AI into data pipelines for automated data quality, anomaly detection, and intelligent ETL optimization. Build self-healing and adaptive data systems.

AI Pipelines • Data Quality • Anomaly Detection • Self-healing Systems

Edge Data Processing

Process data at the edge for IoT and real-time applications. Learn edge computing frameworks, data streaming from devices, and distributed data collection.

Edge Computing • IoT Data • Real-time Processing • Distributed Collection

Modern Data Stack 2025

Navigate the evolving data stack with new tools for extraction, transformation, storage, and visualization. Compare Snowflake, Databricks, dbt, and emerging platforms.

Modern Data Stack • Snowflake • Databricks • dbt • Data Tools

Data Mesh & Domain-Driven Data

Implement data mesh architecture for decentralized data ownership. Learn domain-oriented data products, federated governance, and self-serve data infrastructure.

Data Mesh • Domain-Driven • Data Products • Federated Governance

Data Pipeline Architecture

Design robust data pipelines from ingestion to consumption. Learn batch vs stream processing, pipeline orchestration, error handling, and monitoring strategies.

Pipeline Architecture • Batch Processing • Stream Processing • Orchestration

ETL vs ELT Patterns

Master traditional ETL and modern ELT approaches. Understand when to transform data before or after loading, and how cloud data warehouses enable ELT patterns.

ETL • ELT • Data Transformation • Data Loading • Processing Patterns

Data Modeling & Schema Design

Learn dimensional modeling, data vault, and modern schema design patterns. Understand normalization, denormalization, and schema evolution strategies.

Data Modeling • Schema Design • Dimensional Modeling • Data Vault

Data Quality & Validation

Implement data quality frameworks, validation rules, and monitoring systems. Learn to handle data drift, schema evolution, and ensure data reliability.

Data Quality • Data Validation • Data Monitoring • Data Reliability

Data Storage Systems

Compare data lakes, data warehouses, and data lakehouses. Learn object storage, columnar formats (Parquet, ORC), and storage optimization techniques.

Data Lakes • Data Warehouses • Object Storage • Parquet • Storage Optimization

Stream Processing Fundamentals

Process real-time data streams with Apache Kafka, Apache Flink, and Apache Storm. Learn windowing, stateful processing, and exactly-once guarantees.

Stream Processing • Kafka • Flink • Real-time • Windowing

Apache Airflow Mastery

Build complex data workflows with Apache Airflow. Learn DAG design, task dependencies, scheduling, monitoring, and scaling Airflow for production workloads.

Apache Airflow • Workflow Orchestration • DAGs • Task Dependencies

Kafka Data Streaming

Build real-time data streaming pipelines with Apache Kafka. Learn topics, partitions, consumer groups, and Kafka Connect for data integration.

Apache Kafka • Data Streaming • Kafka Connect • Real-time Pipelines

Apache Spark for Big Data

Process large-scale data with Apache Spark. Learn RDDs, DataFrames, Spark SQL, and optimization techniques for distributed data processing.

Apache Spark • Big Data • DataFrames • Spark SQL • Distributed Processing

dbt for Data Transformations

Transform data using dbt (data build tool). Learn SQL-based transformations, testing, documentation, and version control for analytics engineering.

dbt • Data Transformations • Analytics Engineering • SQL • Testing

Change Data Capture (CDC)

Implement CDC patterns for real-time data synchronization. Learn Debezium, database triggers, and log-based CDC for streaming data changes.

CDC • Change Data Capture • Debezium • Data Synchronization

Data Lineage & Governance

Track data flow across systems with data lineage tools. Implement data governance, cataloging, and compliance for enterprise data management.

Data Lineage • Data Governance • Data Catalog • Compliance

AWS Data Engineering Stack

Master AWS data services: S3, Glue, EMR, Kinesis, Redshift, and Lake Formation. Build end-to-end data solutions on AWS cloud platform.

AWS • S3 • Glue • EMR • Kinesis • Redshift • Lake Formation

Google Cloud Data Platform

Leverage GCP data services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Dataproc. Build scalable data solutions on Google Cloud.

GCP • BigQuery • Dataflow • Cloud Storage • Pub/Sub • Dataproc

Azure Data Engineering

Use Azure data services: Azure Data Factory, Synapse Analytics, Data Lake Storage, and Event Hubs. Implement enterprise data solutions on Azure.

Azure • Data Factory • Synapse Analytics • Data Lake Storage • Event Hubs

Snowflake Data Cloud

Build data solutions on Snowflake's cloud data platform. Learn data sharing, time travel, clustering, and cost optimization strategies.

Snowflake • Cloud Data Platform • Data Sharing • Time Travel

Databricks Lakehouse Platform

Unify data lakes and data warehouses with Databricks. Learn Delta Lake, MLflow integration, and collaborative analytics workflows.

Databricks • Lakehouse • Delta Lake • MLflow • Analytics

Data Pipeline Monitoring

Monitor data pipelines with observability tools. Learn data quality monitoring, pipeline alerting, and performance optimization techniques.

Pipeline Monitoring • Data Observability • Alerting • Performance

End-to-End Data Pipeline

Build a complete data pipeline from data ingestion to visualization. Use Kafka, Spark, Airflow, and create dashboards with real-time data processing.

Project • End-to-end Pipeline • Kafka • Spark • Airflow • Dashboards

Real-Time Analytics Platform

Create a real-time analytics system processing millions of events per second. Implement stream processing, time-series databases, and live dashboards.

Project • Real-time Analytics • Stream Processing • Time-series • Dashboards

Modern Data Lake Implementation

Build a scalable data lake with automated ingestion, cataloging, and governance. Implement data lake house architecture with unified analytics.

Project • Data Lake • Data Lakehouse • Cataloging • Governance

ML Data Pipeline

Build data pipelines specifically for machine learning workflows. Handle feature engineering, model training data, and automated retraining pipelines.

Project • ML Pipeline • Feature Engineering • Model Training • MLOps

Event-Driven Data Architecture

Implement event-driven data architecture with event streaming, event sourcing, and CQRS patterns. Build reactive data systems.

Project • Event-driven • Event Streaming • Event Sourcing • CQRS

Multi-Cloud Data Integration

Build data pipelines that span multiple cloud providers. Handle data movement, transformation, and analytics across AWS, GCP, and Azure.

Project • Multi-Cloud • Data Integration • Cross-Cloud • Analytics