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Databricks Topic: Spark | Code: ASPWD
Apache Spark Programming with Databricks (Course)
ASPWD
This course uses a case study driven approach to explore the fundamentals of Spark Programming with Databricks, including Spark architecture, the DataFrame API, Structured Streaming, and query...
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Developer Topic: Spark | Code: DEV-APP-APCH-SPRK
Cloudera Data Engineering: Developing Applications with Apache Spark (Course)
DEV-APP-APCH-SPRK
This four-day hands-on training course delivers the key concepts and knowledge developers need to use Apache Spark to develop high-performance, parallel applications on the Cloudera Data Platform...
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Databricks Topic: Spark | Code: OPTSPARK
Optimizing Apache Spark™ on Databricks (Course)
OPTSPARK
In this course, students will explore five key problems that represent the vast majority of performance problems in an Apache Spark application: skew, spill, shuffle, storage, and serialization. With...
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Databricks Topic: Data Science | Code: DEWD
Data Engineering with Databricks (Course)
DEWD
This course begins with a review of programming with Spark APIs and an introduction to key terms and definitions of Databricks data engineering tools, followed by an overview of DB Connect, the Spark...
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Databricks Topic: Data Science | Code: DEEPLEARNING
Deep Learning with Databricks (Course)
DEEPLEARNING
This course begins by covering the basics of neural networks and the tensorflow.keras API. We will then focus on using Spark to scale our models, including distributed training, hyperparameter tuning,...
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Developer Topic: Spark | Code: SPARK-PT
Cloudera - Apache Spark Application Performance Tuning (Course)
SPARK-PT
This three-day hands-on training course delivers the key concepts and expertise developers need to improve the performance of their Apache Spark applications. During the course, participants will...
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