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Study Materials
Pyspark Total Notes
Pyspark Total Notes
Linux Commands & HDFS Commands & YARN
Session - 1
Session - 2
Session - 3
Session - 4
Session - 5
Pyspark Video Sessions
Session - 1 Pyspark Introduction
Session - 2 Pyspark Features and Advantages
Session - 3 Pyspark RDD Computation
Session - 4 Pyspark Transformations and Actions
Session - 5 Pyspark Fault-Tolerance mechanism
Session - 6 Pyspark RDD persistence
Session - 7 Different persistence options
Session - 8 Python Syntaxes
Session - 9 ON Lambda filter and map functions
Session - 10 Pyspark RDD in-built Transformations
Session - 11 Pyspark key value Transformations
Session - 12 Pyspark inbuilt Actions
Session - 13 Pyspark inbuilt actions and increasing partitions
Session - 14 Pyspark Filtering operations and word count
Session - 15 Pyspark Goupings and Aggregations
Session - 16 Pyspark installation within jupyter Notebook
Session - 17 Pyspark SQL and Creating Dataframes
Session - 18 Pyspark sql Dataframe functions
Session - 19 Pyspark various Dataframe Functions
Session - 20 Pyspark Sql DataFrame Functions
Session - 21 Pyspark different types of joins
Session - 22 Pyspark working with sql stmts
Session - 23 Pyspark Working with CSV and Json data
Session - 24 MultiLine JSON and Pyspark integration with Mysql
Session - 25 Pyspark Column Transformations
Session - 26 Nosql Introduction
Session - 27 NoSql Hbase Introduction
Session - 28 Nosql Hbase CRUD operations
Session - 29 Importing data from RDBMS to Hbase table
Session - 30 Mysql sqoop hive and Hbase
Session - 31 Various pyspark functions
Session - 32 Filtering and Replacing column values
Session - 33 Pyspark Jupyter and pyspark pandas and calculating cluster memory
Session - 34 Pyspark Date and Timestamp functions
Session - 35 Stages and Tasks Narrow and wide Transformation and different file formats
Session - 36 Pyspark and Hive Integration and Submitting pyspark Application
Session - 37 Submitting Pyspark Application
Session - 38 Pyspark Mllib Introduction
Session - 39 Pyspark ML Life cycle and ML Algorithms
Session - 40 Pyspark Linear Regression with SGD Part -1
Session - 41 Pyspark Linear Regression with SGD Part - 2
Session - 42 Pyspark Classification Logistic Regression with SGD
Session - 43 Pyspark streaming
Session - 44 Pyspark Streaming
Session - 45 Pyspark Performance Tuning
Session - 46 Pyspark KAFKA Part - 1
Session - 47 Pyspark KAFKA Part - 2
Session - 48 Pyspark KAFKA Part - 3
Session - 49 Pyspark KAFKA Part - 4
Session - 50 Pyspark KAFKA Part - 5