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Apache Spark/PySpark Tutorial
25 videos • 202,936 views • by AmpCode
1
Apache Spark/PySpark Tutorial: What is Apache Spark? | Lecture 1
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2
Install Apache PySpark on Windows PC | Apache Spark Installation Guide
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3
Setting up PySpark IDE | Installing Anaconda, Jupyter Notebook and Spyder IDE
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4
Understanding Spark Application concepts and Running our first PySpark application
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5
Apache Spark Structured APIs | DataFrame, Dataset | PySpark Tutorial
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6
Apache Spark DataFrame vs Dataset vs RDD | Project Tungsten, Catalyst Optimizer | PySpark Tutorial
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7
Building our first PySpark Application using Jupyter Notebook! | PySpark Tutorial
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8
Working with PySpark SQL Tables and Views | Managed vs Unmanaged Tables
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9
How to Read and Write PySpark DataFrame | Big Data PySpark Tutorial
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10
Apache Spark: Working with external data sources | PySpark Tutorial | Lecture 10
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11
Integrating Apache Spark with MongoDB | Read/Write MongoDB data using PySpark
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12
Integrating Cassandra with Apache Spark | Read/Write to Cassandra using PySpark
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13
Optimizing PySpark by setting up Spark Configuration Properties | PySpark Tutorial
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14
PySpark Optimization using Cache and Persist | PySpark Tutorial
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15
Apache Spark Joins for Optimization | PySpark Tutorial
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16
Apache Spark Structured Streaming | Process Real Time Data using PySpark
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17
Building our first Spark Streaming Application! | PySpark Tutorial
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18
Under the Hood of an Active Spark Streaming Query | PySpark Tutorial
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19
Working with different Sources and Sinks | Building our 2nd Spark Streaming Application
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20
Designing Data Lake Solution for Apache Spark | Database vs Data Lake
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21
Introducing Lakehouse | Next Gen Storage Solution for Apache Spark
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22
Machine Learning using Apache Spark MLlib | PySpark Tutorial
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23
Building Machine Learning Model using Apache Spark | PySpark MLlib Tutorial
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24
Evaluating PySpark Machine Learning Model | Hyperparameter Tuning
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25
PySpark Machine Learning Model Management
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