Udemy - PySpark - Python Spark Hadoop coding framework & testing

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PySpark - Python Spark Hadoop coding framework & testing [TutsNode.com] - PySpark - Python Spark Hadoop coding framework & testing 04 Logging and Error Handling
  • 018 Managing log level through a configuration file.mp4 (76.7 MB)
  • 018 Managing log level through a configuration file.en.srt (9.0 KB)
  • 020 Error Handling with try except and raise.en.srt (6.5 KB)
  • 017 Python Logging.en.srt (5.4 KB)
  • 019 Having custom logger for each Python class.en.srt (4.2 KB)
  • 019 DataPipeline-Logger2.zip (2.8 KB)
  • 018 DataPipeline-logging-1.zip (2.6 KB)
  • 020 persist.zip (0.5 KB)
  • 020 Error Handling with try except and raise.mp4 (53.0 MB)
  • 017 Python Logging.mp4 (42.0 MB)
  • 019 Having custom logger for each Python class.mp4 (41.9 MB)
01 Introduction
  • 001 Introduction.en.srt (1.5 KB)
  • 002 What is Big Data Spark_.en.srt (2.8 KB)
  • 001 Introduction.mp4 (8.6 MB)
  • 002 What is Big Data Spark_.mp4 (5.6 MB)
02 Setting up Hadoop Spark development environment
  • 007 winutils.zip (36.1 KB)
  • 003 Environment setup steps.en.srt (0.7 KB)
  • 011 Python basics.en.srt (8.4 KB)
  • 004 Installing Python.en.srt (0.6 KB)
  • 005 Installing PyCharm.en.srt (1.8 KB)
  • 006 Installing JDK.en.srt (1.3 KB)
  • 007 Installing Spark 3 & Hadoop.en.srt (2.0 KB)
  • 008 Running PySpark in the Console.en.srt (1.0 KB)
  • 009 main.zip (0.7 KB)
  • 009 PyCharm PySpark Hello DataFrame.en.srt (2.4 KB)
  • 010 hello-world-python-spark-hadoop.py (1.0 KB)
  • 010 hello-world-python-spark-hadoop.zip (0.7 KB)
  • 010 PyCharm Hadoop Spark programming.en.srt (1.9 KB)
  • 011 learn-python.py (1.1 KB)
  • 011 learn-python.zip (0.6 KB)
  • 011 Python basics.mp4 (57.4 MB)
  • 009 PyCharm PySpark Hello DataFrame.mp4 (24.2 MB)
  • 007 Installing Spark 3 & Hadoop.mp4 (20.2 MB)
  • 005 Installing PyCharm.mp4 (19.3 MB)
  • 006 Installing JDK.mp4 (12.7 MB)
  • 010 PyCharm Hadoop Spark programming.mp4 (12.2 MB)
  • 008 Running PySpark in the Console.mp4 (8.9 MB)
  • 004 Installing Python.mp4 (5.0 MB)
  • 003 Environment setup steps.mp4 (1.2 MB)
05 Creating a Data Pipeline with Hadoop Spark and PostgreSQL
  • 024 Spark PostgreSQL interaction with Psycopg2 adapter.en.srt (7.4 KB)
  • 021 Ingesting data from Hive.en.srt (5.5 KB)
  • 023 Installing PostgreSQL.en.srt (4.0 KB)
  • 025 Spark PostgreSQL interaction with JDBC driver.en.srt (3.7 KB)
  • 026 Persisting transformed data in PostgreSQL.en.srt (3.3 KB)
  • 022 Transforming ingested data.en.srt (2.6 KB)
  • 024 DataPipeline-psycopg2.zip (2.4 KB)
  • 021 DataPipeline-v5.zip (1.5 KB)
  • 026 persist-transformed-df.zip (0.8 KB)
  • 023 Postgres-course-catalog.zip (0.6 KB)
  • 022 transform.zip (0.4 KB)
  • 026 pg-course.zip (0.3 KB)
  • 024 Spark PostgreSQL interaction with Psycopg2 adapter.mp4 (59.6 MB)
  • 021 Ingesting data from Hive.mp4 (43.4 MB)
  • 025 Spark PostgreSQL interaction with JDBC driver.mp4 (34.7 MB)
  • 023 Installing PostgreSQL.mp4 (23.3 MB)
  • 026 Persisting transformed data in PostgreSQL.mp4 (18.8 MB)
  • 022 Transforming ingested data.mp4 (18.7 MB)
  • 025 DataPipeline-postgres-jdbc.zip (911.8 KB)
03 Creating a PySpark coding framework
  • 014 Creating and reusing SparkSession.en.srt (6.8 KB)
  • 016 Separating out Ingestion, Transformation and Persistence code.en.srt (6.4 KB)
  • 015 Spark DataFrame.en.srt (6.4 KB)
  • 012 Structuring code with classes and methods.en.srt (4.9 KB)
  • 012 DataPipeline-v1.zip (0.9 KB)
  • 012 transform.py (0.1 KB)
  • 013 How Spark works_.en.srt (1.9 KB)
  • 014 data-pipeline.py (0.8 KB)
  • 014 DataPipeline-v2.zip (1.2 KB)
  • 014 ingest.py (0.3 KB)
  • 015 DataPipeline-v3.zip (1.5 KB)
  • 015 ingest.py (0.1 KB)
  • 016 DataPipeline-v4.zip (1.7 KB)
  • 014 Creating and reusing SparkSession.mp4 (53.5 MB)
  • 016 Separating out Ingestion, Transformation and Persistence code.mp4 (46.0 MB)
  • 015 Spark DataFrame.mp4 (44.5 MB)
  • 012 Structuring code with classes and methods.mp4 (31.7 MB)
  • 013 How Spark works_.mp4 (7.5 MB)
07 Unit testing PySpark application
  • 030 Unit testing PySpark transformation logic.en.srt (5.0 KB)
  • 029 Python unittest framework.en.srt (3.9 KB)
  • 031 Unit testing an error.en.srt (1.7 KB)
  • 030 test-transformer.zip (0.8 KB)
  • 031 test-transformer.zip (0.6 KB)
  • 029 test.zip (0.4 KB)
  • 030 Unit testing PySpark transformation logic.mp4 (31.9 MB)
  • 029 Python unittest framework.mp4 (23.4 MB)
  • 031 Unit testing an error.mp4 (12.9 MB)
06 Reading configuration from properties file
  • 028 Reading configuration from a property file.en.srt (2.9 KB)
  • 027 Organizing code further.en.srt (2.8 KB)
  • 027 Organizing code further.mp4 (21.1 MB)
  • 028 Reading configuration from a property file.mp4 (19.4 MB)
  • 028 DataPipeline-read-config.zip (918.0 KB)
08 spark-submit
  • 032 PySpark spark-submit.en.srt (2.3 KB)
  • 033 Thank you.en.srt (0.3 KB)
  • 033 scala-course-coupon.txt (0.1 KB)
  • 032 PySpark spark-submit.mp4 (13.1 MB)
  • 033 Thank you.mp4 (3.7 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
  • .pad
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Description


Description

This course will bridge the gap between your academic and real world knowledge and prepare you for an entry level Big Data Python Spark developer role. You will learn the following

Python Spark coding best practices
Logging
Error Handling
Reading configuration from properties file
Doing development work using PyCharm
Using your local environment as a Hadoop Hive environment
Reading and writing to a Postgres database using Spark
Python unit testing framework
Building a data pipeline using Hadoop , Spark and Postgres

Prerequisites :

Basic programming skills
Basic database knowledge
Hadoop entry level knowledge

Who this course is for:

Students looking at moving from Big Data Spark academic background to a real world developer role

Requirements

Basic programming skills
Basic database skills
Hadoop entry level knowledge

Last Updated 12/2020



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Udemy - PySpark - Python Spark Hadoop coding framework & testing


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907.9 MB
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Udemy - PySpark - Python Spark Hadoop coding framework & testing


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