Posts - Page 40
All the articles I've posted, page 40.
- 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Streaming Data Fundamentals
What streaming data is, how producers, message brokers, and stream processors work together, real-time use cases, and the challenges of streaming pipelines.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Data Modeling Basics
Data modeling basics: OLTP versus OLAP systems, normalization and denormalization, star and snowflake schemas, and how to design models that can grow.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Data Warehousing Fundamentals
What a data warehouse is and how it differs from an operational database: architecture, columnar storage, partitioning and clustering, and load patterns.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Data Lakes Explained
What a data lake is, how schema-on-read works, how lakes differ from warehouses, and how raw, cleaned, and curated zones keep a lake from becoming a swamp.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Storage Formats and Compression
How CSV, JSON, Avro, ORC, and Parquet differ, why columnar formats suit analytics, and how compression codecs affect file size and query speed.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Data Quality and Validation
The dimensions of data quality, where quality breaks down in pipelines, how to validate data at each stage, and tools that catch problems before users do.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Metadata, Lineage, and Governance
What metadata is, how data lineage helps with debugging and compliance, what data governance covers, and practices that build trust in data at scale.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Scheduling and Workflow Orchestration
How workflow orchestration goes beyond scheduling, what a DAG is, tools like Apache Airflow, and practices for retries, dependencies, and alerting.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Building Scalable Pipelines
What makes a data pipeline scalable: parallel and distributed processing, less data movement, managing compute resources, and designing for change.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | DevOps for Data Engineering
How DevOps applies to data engineering: version control for pipelines, CI and automated tests, infrastructure as code, deployment, and incident response.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Cloud Data Platforms and the Modern Stack
What the modern data stack is, how cloud platforms changed data engineering, the managed services they offer, and how to design data systems for agility.
Data EngineeringDatabasesData Lakes - 4 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Data Lakehouse Architecture Explained
Why running a separate data lake and data warehouse causes problems, what a data lakehouse is, the open technologies behind it, and its main benefits.
Data EngineeringDatabasesData Lakes