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.
347Results 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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What is DataOps?5m
What is DataOps?
From: DataOps with Apache Iceberg using Spark, Nessie, and Dremio
Video
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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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Apache Spark Essential Training: Big Data Engineering1h 4m
Apache Spark Essential Training: Big Data Engineering
By: Kumaran Ponnambalam
Course
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Solution design56s
Solution design
From: Apache Spark Essential Training: Big Data Engineering
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Timeseries analysis with DataFrames10m
Timeseries analysis with DataFrames
From: Introduction to Spark SQL and DataFrames
Video
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Getting started with PySpark7m
Getting started with PySpark
From: Essentials of MLOps with Azure: 1 Introduction
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Introduction to Spark SQL and DataFrames1h 54m
Introduction to Spark SQL and DataFrames
By: Dan Sullivan
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Data engineering vs. data analytics vs. data science1m
Data engineering vs. data analytics vs. data science
From: Apache Spark Essential Training: Big Data Engineering
Video
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Azure Databricks concepts5m
Azure Databricks concepts
From: Azure Spark Databricks Essential Training
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Databricks Certified Data Engineer Associate Cert Prep: 2 ELT with Spark SQL and Python28m
Databricks Certified Data Engineer Associate Cert Prep: 2 ELT with Spark SQL and Python
By: Noah Gift
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Save data from DataFrames3m
Save data from DataFrames
From: Introduction to Spark SQL and DataFrames
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Parallel writes with partitioning1m
Parallel writes with partitioning
From: Big Data Analytics with Hadoop and Apache Spark
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Understanding database schema2m
Understanding database schema
From: Data Engineering Foundations
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