Apache Spark is among the fastest-growing tools in data science, due to its streaming, speed, and scalability. LinkedIn data shows Spark as one of the most sought-after skills in data engineering and data devops; this learning path is an ideal resource for boosting your skills and your resume.
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Master the fundamental functions of Apache Spark.
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Use Spark in machine learning applications.
Courses
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1
Apache Spark Essential Training: Big Data Engineering1h 2mApache Spark Essential Training: Big Data Engineering
By: Kumaran Ponnambalam
Learn how to make Apache Spark work with other Big Data technologies and put together an end-to-end project that can solve a real-world business problem.
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2
Introduction to Spark SQL and DataFrames1h 54mIntroduction to Spark SQL and DataFrames
By: Dan Sullivan
Learn about DataFrames, a widely used data structure in Apache Spark. Discover how to manipulate and analyze distributed data with the DataFrames API and SQL.
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3
Azure Spark Databricks Essential Training2h 52mAzure Spark Databricks Essential Training
By: Lynn Langit
Learn best practices, patterns, and processes for developers and DevOps teams who want to design and implement data processing using Azure Databricks.
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4
Apache Spark Deep Learning Essential Training42mApache Spark Deep Learning Essential Training
By: Jonathan Fernandes
Learn how to do deep learning with images on Apache Spark, using the Databricks deep learning library and Python.
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5
Architecting Big Data Applications: Batch Mode Application Engineering1h 28mArchitecting Big Data Applications: Batch Mode Application Engineering
By: Kumaran Ponnambalam
Develop the skills required to architect and manage batch processing applications to generate consistent data-driven results.
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6
Using Apache Spark with .NET1h 20mUsing Apache Spark with .NET
By: Brigit Murtaugh
This course offers a solid introduction to .NET for Apache Spark and how it brings the world of big data analytics to the .NET ecosystem.
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7
Cloud Hadoop: Scaling Apache Spark3h 13mCloud Hadoop: Scaling Apache Spark
By: Lynn Langit
Generate genuine business insights from big data. Learn to implement Apache Hadoop and Spark workflows on AWS.
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8
Big Data Analytics with Hadoop and Apache Spark1h 1mBig Data Analytics with Hadoop and Apache Spark
By: Kumaran Ponnambalam
Discover how to build scalable and optimized data analytics pipelines by combining the powers of Apache Hadoop and Spark.
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9
Apache PySpark by Example1h 58mApache PySpark by Example
By: Jonathan Fernandes
Get up and running with Apache Spark quickly. This practical hands-on course shows Python users how to work with Apache PySpark to leverage the power of Spark for data science.