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Apache Spark 2 for Beginners
Spark Fundamentals
The Course Overview
An Overview of Apache Hadoop
Understanding Apache Spark
Installing Spark on Your Machines
Spark Programming Model
Functional Programming with Spark and Understanding Spark RDD
Data Transformations and Actions with RDDs
Monitoring with Spark
The Basics of Programming with Spark
Creating RDDs from Files and Understanding the Spark Library Stack
Spark SQL
Understanding the Structure of Data and the Need of Spark SQL
Anatomy of Spark SQL
DataFrame Programming
Understanding Aggregations and Multi-Datasource Joining with SparkSQL
Introducing Datasets and Understanding Data Catalogs
Spark Programming with R
The Need for Spark and the Basics of the R Language
DataFrames in R and Spark
Spark DataFrame Programming with R
Understanding Aggregations and Multi- Datasource Joins in SparkR
Spark Data Analysis with Python
Charting and Plotting Libraries and Setting Up a Dataset
Charts, Plots, and Histograms
Bar Chart and Pie Chart
Scatter Plot and Line Graph
Spark Stream Processing
Data Stream Processing and Micro Batch Data Processing
A Log Event Processor
Windowed Data Processing and More Processing Options
Kafka Stream Processing
Spark Streaming Jobs in Production
Spark Machine Learning
Understanding Machine Learning and the Need of Spark for it
Wine Quality Prediction and Model Persistence
Wine Classification
Spam Filtering
Feature Algorithms and Finding Synonyms
Spark Graph Processing
Understanding Graphs with Their Usage
The Spark GraphX Library
Graph Processing and Graph Structure Processing
Tennis Tournament Analysis
Applying PageRank Algorithm
Connected Component Algorithm
Understanding GraphFrames and Its Queries
Designing Spark Applications
Lambda Architecture
Micro Blogging with Lambda Architecture
Implementing Lambda Architecture and Working with Spark Applications
Coding Style, Setting Up the Source Code, and Understanding Data Ingestion
Generating Purposed Views and Queries
Understanding Custom Data Processes
Micro Blogging with Lambda Architecture
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