Apache Spark Online Training Courses
Apache Spark is a powerful framework for large-scale data processing and analytics. Spark allows you to manage massive datasets with the help of machine learning, and distribute tasks across multiple computers using core abstraction and RDDs (resilient distributed datasets). Learn how to use SQL queries, use MLlib and MLflow, and use the API for integrations. Explore core concepts and gain skills with courses that teach you how to install, configure, program, and optimize Apache Spark for various use cases and scenarios.
334Results for "Apache Spark"
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Azure Spark Databricks Essential Training2h 57m
Azure Spark Databricks Essential Training
By: Lynn Langit
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Apache Spark Essential Training: Big Data Engineering1h 4m
Apache Spark Essential Training: Big Data Engineering
By: Kumaran Ponnambalam
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Big Data Analytics with Hadoop and Apache Spark51m
Big Data Analytics with Hadoop and Apache Spark
By: Kumaran Ponnambalam
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Introduction to Spark SQL and DataFrames1h 54m
Introduction to Spark SQL and DataFrames
By: Dan Sullivan
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What is dbt?3m
What is dbt?
From: DataOps with Apache Iceberg using Spark, Nessie, and Dremio
Video
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Save data from DataFrames3m
Save data from DataFrames
From: Introduction to Spark SQL and DataFrames
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Aggregating Data with SQL5m
Aggregating Data with SQL
From: Introduction to Spark SQL and DataFrames
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Timeseries analysis with DataFrames10m
Timeseries analysis with DataFrames
From: Introduction to Spark SQL and DataFrames
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Solution: Create variables49s
Solution: Create variables
From: Scala Essential Training for Data Science
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Understanding database schema2m
Understanding database schema
From: Data Engineering Foundations
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Joining DataFrames with SQL5m
Joining DataFrames with SQL
From: Introduction to Spark SQL and DataFrames
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Technology integrations2m
Technology integrations
From: Architecting Big Data Applications: Batch Mode Application Engineering
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Sample data from DataFrames5m
Sample data from DataFrames
From: Introduction to Spark SQL and DataFrames
Video