Course
data-engineering
Apache Spark for Data Engineering
Process large-scale data with Apache Spark — DataFrames, Spark SQL, and performance tuning.
Course Category
data-engineering
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11 courses available
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Course
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Course
data-engineeringData Engineering on AWS
Build cloud-native data engineering pipelines using AWS data services.
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Course
data-engineeringData Quality & Data Observability
Ensure pipeline reliability and data trustworthiness with data quality and observability practices.
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Course
data-engineeringData Warehousing & Dimensional Modeling
Design data warehouses and dimensional models for analytics — star schemas, fact and dimension tables.
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data-engineeringETL & ELT Pipeline Engineering
Design and build reliable ETL/ELT data pipelines for production data platforms.
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data-engineeringHadoop Ecosystem Fundamentals (Legacy Data Platforms)
Understand the Hadoop ecosystem (HDFS, MapReduce, YARN) for maintaining legacy big data environments.
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data-engineeringLakehouse Architecture & Analytics
Design modern lakehouse architectures that unify data lake flexibility with data warehouse reliability.
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data-engineeringModern Data Engineering with Python
Learn core data engineering skills in Python — data pipelines, processing, and automation.
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Course
data-engineering
NoSQL Database Fundamentals
Learn document, key-value, and wide-column NoSQL databases — MongoDB, DynamoDB, Cassandra.
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Course
data-engineering
Scala for Data Engineering
Learn Scala as a foundation for Spark development — functional programming, type safety, JVM ecosystem.
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Course
data-engineeringStreaming Data Engineering with Kafka
Build real-time data pipelines with Apache Kafka — topics, producers, consumers, and stream processing.
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