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Data Lakes — Data Engineering Roadmap | DEV-TO-DEV

Data Lakes0%

Data Engineering

0/11 completed

Advanced SQL Python for Data Engineering

Data Modeling Data Warehousing Data Lakes

Batch Processing Stream Processing

ELT & Data Transformation

Data Orchestration

Data Governance & Security

Data Pipelines & Airflow

Roadmaps Data EngineeringARCHITECTURE

Data Engineering Roadmap

Learn to build resilient data pipelines and data architectures.

Overall Progress0%

Data Lakes

Implement data lakes to store vast amounts of raw, unstructured, and semi-structured data cost-effectively.

Core Topics

Data Lake ArchitectureParquet and ORC FormatsData Lakehouse ConceptsDelta Lake / Apache Iceberg

Key Takeaways

Design data lake architectures
Work with big data file formats
Implement data lakehouse concepts

← PreviousData Warehousing Next →Batch Processing

Recommended BooksFree

Delta Lake Documentation

The Linux Foundation

Recommended Video

Data Lakes and Data Lakehouses Explained

Databricks • PT15M

Practice Exercise

Convert a large CSV dataset into Parquet format, partition the data by date, and query it using a serverless query engine.