Topic
Delta Lake
Learn Delta Lake as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts4 Articles1h 36m
Overview
Learn Delta Lake as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Big Data
Data Engineering
#apache Spark
Architecture
Learning Path in this Topic
Series that contain articles from Delta Lake. Select a path to filter the article list.
Articles
4 matched articles
Article 1Modern Table Formats: Delta Lake vs Apache Iceberg vs Apache HudiTLDR: Delta Lake, Apache Iceberg, and Apache Hudi are open table formats that wrap Parquet files with a transaction log (or snapshot tree) to deliver ACID guarantees, time travel, schema evolution, an24 min
Article 2Reading and Writing Data in Spark: Parquet, Delta, JSON, and JDBCTLDR: Parquet's columnar layout with row-group statistics enables predicate pushdown that can reduce a 500 GB scan to 8 GB. Delta Lake wraps Parquet with a JSON transaction log to add ACID semantics a34 min
Article 3Medallion Architecture: Bronze, Silver, and Gold Layers in PracticeTLDR: Medallion Architecture solves the "data swamp" problem by organizing a data lake into three progressively refined zones — Bronze (raw, immutable), Silver (cleaned, conformed), Gold (aggregated, 23 minArticle 4Data Warehouse vs Data Lake vs Data Lakehouse: Which One to Choose?TLDR: Warehouse = structured, clean data for BI and SQL dashboards (Snowflake, BigQuery). Lake = raw, messy data for ML and data science (S3, HDFS). Lakehouse = open table formats (Delta Lake, Iceberg15 min