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Introduction to Spark with sparklyr in R
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Streaming Concepts
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Introduction to Redshift
Master Amazon Redshifts SQL, data management, optimization, and security.
Introduction to MongoDB in Python
Learn to manipulate and analyze flexibly structured data with MongoDB.
Introduction to NoSQL
Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
Introduction to Kafka
Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!
Introduction to Data Modeling in Snowflake
Step right into the dynamic world of data modeling with Snowflake!
NoSQL Concepts
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
Introduction to BigQuery
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
Databricks Concepts
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Introduction to dbt
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Big Data Fundamentals with PySpark
Learn the fundamentals of working with big data with PySpark.
Introduction to Airflow in Python
Learn how to implement and schedule data engineering workflows.
Introduction to Data Engineering
Learn about the world of data engineering in this short course, covering tools and topics like ETL and Cloud Computing computing.
ETL and ELT in Python
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Introduction to Databricks
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Understanding Modern Data Architecture
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
Understanding Data Engineering
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!