Udemy - Apache Spark 2.0 Python : DO Big Data Analytics & ML

Category: Technical

Tag: Perl/PHP/Python


Posted on 2019-05-20, by phaelx.

Description



Date: 2017
Author: V2 Maestros, LLC

Size: 883 MB
Format: MP4
Download     >>    https://dropapk.com/5osc8ly6llkr
What you'll learn
   *Acquire Knowledge of Apache Spark 2.0 fundamentals and architecture
   *Write Spark 2.0 scripts for Transformations, actions, Spark SQL and Spark Streaming
   *Execute Machine Learning / Data Science algorithms
   *Solve real world data problems with Apache Spark 2.0
   *Handle interviews for Apache Spark 2.0 confidently and get jobs


Course content

Kick-start your learning
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data

Introduction to Apache Spark
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data
   Start your Spark engines
   Setup your Spark / Python environment
   Run your first Spark Program !
   Apache Spark eco-system
   RDD : The foundation of Spark
   Spark Architecture - How it all works.
   Spark Project work flow - How it gets done.
   Spark Architecture

Spark Programming with Python
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data
   Start your Spark engines
   Setup your Spark / Python environment
   Run your first Spark Program !
   Apache Spark eco-system
   RDD : The foundation of Spark
   Spark Architecture - How it all works.
   Spark Project work flow - How it gets done.
   Spark Architecture
   Loading and Storing Data
   Loading and Storing Data
   @Practice() Loading and Storing Data
   Transformations - Change how data looks
   Transformations
   @Practice() Transformations
   Actions - Extract insights from Data
   Actions
   @Practice() Actions
   Key-Value RDDs
   Key-Value RDDs
   @Practice() Key-Value RDDs
   Advanced Spark
   Advanced Spark - Enhanced Capabilities
   @Practice() Advanced Spark

Spark SQL
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data
   Start your Spark engines
   Setup your Spark / Python environment
   Run your first Spark Program !
   Apache Spark eco-system
   RDD : The foundation of Spark
   Spark Architecture - How it all works.
   Spark Project work flow - How it gets done.
   Spark Architecture
   Loading and Storing Data
   Loading and Storing Data
   @Practice() Loading and Storing Data
   Transformations - Change how data looks
   Transformations
   @Practice() Transformations
   Actions - Extract insights from Data
   Actions
   @Practice() Actions
   Key-Value RDDs
   Key-Value RDDs
   @Practice() Key-Value RDDs
   Advanced Spark
   Advanced Spark - Enhanced Capabilities
   @Practice() Advanced Spark
   Spark SQL Data Frames - the new era
   SQL Data Frames
   @Practice() SQL Data Frames
   Temp Tables / Views - Easy querying
   Temp Tables / Views
   @Practice() Temp Tables/ Views

Spark Streaming
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data
   Start your Spark engines
   Setup your Spark / Python environment
   Run your first Spark Program !
   Apache Spark eco-system
   RDD : The foundation of Spark
   Spark Architecture - How it all works.
   Spark Project work flow - How it gets done.
   Spark Architecture
   Loading and Storing Data
   Loading and Storing Data
   @Practice() Loading and Storing Data
   Transformations - Change how data looks
   Transformations
   @Practice() Transformations
   Actions - Extract insights from Data
   Actions
   @Practice() Actions
   Key-Value RDDs
   Key-Value RDDs
   @Practice() Key-Value RDDs
   Advanced Spark
   Advanced Spark - Enhanced Capabilities
   @Practice() Advanced Spark
   Spark SQL Data Frames - the new era
   SQL Data Frames
   @Practice() SQL Data Frames
   Temp Tables / Views - Easy querying
   Temp Tables / Views
   @Practice() Temp Tables/ Views
   Spark Streaming - real time data processing
   Spark Streaming Architecture - how it works.
   Spark Streaming

Machine Learning with Spark
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data
   Start your Spark engines
   Setup your Spark / Python environment
   Run your first Spark Program !
   Apache Spark eco-system
   RDD : The foundation of Spark
   Spark Architecture - How it all works.
   Spark Project work flow - How it gets done.
   Spark Architecture
   Loading and Storing Data
   Loading and Storing Data
   @Practice() Loading and Storing Data
   Transformations - Change how data looks
   Transformations
   @Practice() Transformations
   Actions - Extract insights from Data
   Actions
   @Practice() Actions
   Key-Value RDDs
   Key-Value RDDs
   @Practice() Key-Value RDDs
   Advanced Spark
   Advanced Spark - Enhanced Capabilities
   @Practice() Advanced Spark
   Spark SQL Data Frames - the new era
   SQL Data Frames
   @Practice() SQL Data Frames
   Temp Tables / Views - Easy querying
   Temp Tables / Views
   @Practice() Temp Tables/ Views
   Spark Streaming - real time data processing
   Spark Streaming Architecture - how it works.
   Spark Streaming
   Types of Analytics - simple to predictive
   Types of Machine Learning
   Analyzing results and Errors
   Spark ML Concepts - new data types
   Linear Regression - fit to a line
   Linear Regression Use Case
   Decision Trees Classification
   Decision Trees Use Case
   Principal Component Analysis
   Random Forest Classification
   Random Forests and PCA Use Case
   Text Pre-processing with TF-IDF
   Naive Bayes Classification
   Naive Bayes and Text Pre-processing Use Case
   K-Means Clustering - grouping similar items
   K-Means Clustering Use Case
   Recommendation Engines
   Recommendation Engines Use Case

APPLY : Your Course Challenge Project
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data
   Start your Spark engines
   Setup your Spark / Python environment
   Run your first Spark Program !
   Apache Spark eco-system
   RDD : The foundation of Spark
   Spark Architecture - How it all works.
   Spark Project work flow - How it gets done.
   Spark Architecture
   Loading and Storing Data
   Loading and Storing Data
   @Practice() Loading and Storing Data
   Transformations - Change how data looks
   Transformations
   @Practice() Transformations
   Actions - Extract insights from Data
   Actions
   @Practice() Actions
   Key-Value RDDs
   Key-Value RDDs
   @Practice() Key-Value RDDs
   Advanced Spark
   Advanced Spark - Enhanced Capabilities
   @Practice() Advanced Spark
   Spark SQL Data Frames - the new era
   SQL Data Frames
   @Practice() SQL Data Frames
   Temp Tables / Views - Easy querying
   Temp Tables / Views
   @Practice() Temp Tables/ Views
   Spark Streaming - real time data processing
   Spark Streaming Architecture - how it works.
   Spark Streaming
   Types of Analytics - simple to predictive
   Types of Machine Learning
   Analyzing results and Errors
   Spark ML Concepts - new data types
   Linear Regression - fit to a line
   Linear Regression Use Case
   Decision Trees Classification
   Decision Trees Use Case
   Principal Component Analysis
   Random Forest Classification
   Random Forests and PCA Use Case
   Text Pre-processing with TF-IDF
   Naive Bayes Classification
   Naive Bayes and Text Pre-processing Use Case
   K-Means Clustering - grouping similar items
   K-Means Clustering Use Case
   Recommendation Engines
   Recommendation Engines Use Case
   Real world problem Statement - Credit Card defaulters
   Hints to help you with the project
   Final Solution Review - we did it !

Conclusion
   Meet Your Mentor
   Your learning Process - Learn, Train, Practice and Apply
   Your Course Guide - Pathway to success
   Resource Bundle - Code and Data
   Start your Spark engines
   Setup your Spark / Python environment
   Run your first Spark Program !
   Apache Spark eco-system
   RDD : The foundation of Spark
   Spark Architecture - How it all works.
   Spark Project work flow - How it gets done.
   Spark Architecture
   Loading and Storing Data
   Loading and Storing Data
   @Practice() Loading and Storing Data
   Transformations - Change how data looks
   Transformations
   @Practice() Transformations
   Actions - Extract insights from Data
   Actions
   @Practice() Actions
   Key-Value RDDs
   Key-Value RDDs
   @Practice() Key-Value RDDs
   Advanced Spark
   Advanced Spark - Enhanced Capabilities
   @Practice() Advanced Spark
   Spark SQL Data Frames - the new era
   SQL Data Frames
   @Practice() SQL Data Frames
   Temp Tables / Views - Easy querying
   Temp Tables / Views
   @Practice() Temp Tables/ Views
   Spark Streaming - real time data processing
   Spark Streaming Architecture - how it works.
   Spark Streaming
   Types of Analytics - simple to predictive
   Types of Machine Learning
   Analyzing results and Errors
   Spark ML Concepts - new data types
   Linear Regression - fit to a line
   Linear Regression Use Case
   Decision Trees Classification
   Decision Trees Use Case
   Principal Component Analysis
   Random Forest Classification
   Random Forests and PCA Use Case
   Text Pre-processing with TF-IDF
   Naive Bayes Classification
   Naive Bayes and Text Pre-processing Use Case
   K-Means Clustering - grouping similar items
   K-Means Clustering Use Case
   Recommendation Engines
   Recommendation Engines Use Case
   Real world problem Statement - Credit Card defaulters
   Hints to help you with the project
   Final Solution Review - we did it !
   Closing Remarks
   BONUS Lecture - Your next steps & Discount coupons


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