Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)
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Description
As part of this course, you will learn all the key skills to build Data Engineering Pipelines using Spark SQL and Spark Data Frame APIs using Python as a Programming language. This course used to be a CCA 175 Spark and Hadoop Developer course for the preparation of the Certification Exam. As of 10/31/2021, the exam is sunset and we have renamed it to Apache Spark 2 and 3 using Python 3 as it covers industry-relevant topics beyond the scope of certification.
About Data Engineering
Data Engineering is nothing but processing the data depending upon our downstream needs. We need to build different pipelines such as Batch Pipelines, Streaming Pipelines, etc as part of Data Engineering. All roles related to Data Processing are consolidated under Data Engineering. Conventionally, they are known as ETL Development, Data Warehouse Development, etc. Apache Spark is evolved as a leading technology to take care of Data Engineering at scale.
I have prepared this course for anyone who would like to transition into a Data Engineer role using Pyspark (Python + Spark). I myself am a proven Data Engineering Solution Architect with proven experience in designing solutions using Apache Spark.
Let us go through the details about what you will be learning in this course. Keep in mind that the course is created with a lot of hands-on tasks which will give you enough practice using the right tools. Also, there are tons of tasks and exercises to evaluate yourself.
Setup of Single Node Big Data Cluster
Many of you would like to transition to Big Data from Conventional Technologies such as Mainframes, Oracle PL/SQL, etc and you might not have access to Big Data Clusters. It is very important for you set up the environment in the right manner. Don’t worry if you do not have the cluster handy, we will guide you through with support via Udemy Q&A.
Setup Ubuntu based AWS Cloud9 Instance with right configuration
Ensure Docker is setup
Setup Jupyter Lab and other key components
Setup and Validate Hadoop, Hive, YARN and Spark
A quick recap of Python
This course requires a decent knowledge of Python. To make sure you understand Spark from a Data Engineering perspective, we added a module to quickly warm up with Python. If you are not familiar about Python, then we suggest you to go through our other course Data Engineering Essentials – Python, SQL and Spark.
Data Engineering using Spark SQL
Let us, deep-dive into Spark SQL to understand how it can be used to build Data Engineering Pipelines. Spark with SQL will provide us the ability to leverage distributed computing capabilities of Spark coupled with easy-to-use developer-friendly SQL-style syntax.
Getting Started with Spark SQL
Basic Transformations using Spark SQL
Managing Spark Metastore Tables – Basic DDL and DML
Managing Spark Metastore Tables Tables – DML and Partitioning
Overview of Spark SQL Functions
Windowing Functions using Spark SQL
Data Engineering using Spark Data Frame APIs
Spark Data Frame APIs are an alternative way of building Data Engineering applications at scale leveraging distributed computing capabilities of Spark. Data Engineers from application development backgrounds might prefer Data Frame APIs over Spark SQL to build Data Engineering applications.
Data Processing Overview using Spark Data Frame APIs
Processing Column Data using Spark Data Frame APIs
Basic Transformations using Spark Data Frame APIs – Filtering, Aggregations, and Sorting
Joining Data Sets using Spark Data Frame APIs
Windowing Functions using Spark Data Frame APIs – Aggregations, Ranking, and Analytic Functions
Spark Metastore Databases and Tables
Apache Spark Application Development and Deployment Life Cycle
As Apache Spark based Data Engineers we should be familiar about Application Development and Deployment Lifecycle. As part of this section you will learn the complete life cycle of Development and Deployment Life cycle. It includes but not limited to productionizing the code, externalizing the properties, reviewing the details of Spark Jobs and many more.
Apache Spark Application Development Lifecycle
Spark Application Execution Life Cycle and Spark UI
Setup SSH Proxy to access Spark Application logs
Deployment Modes of Spark Applications
Passing Application Properties Files and External Dependencies
All the demos are given on our state of the art Big Data cluster. You can avail one-month complimentary lab access by reaching out to [email protected] with Udemy receipt.
Who this course is for:
Any IT aspirant/professional willing to learn Data Engineering using Apache Spark
Python Developers who want to learn Spark to add the key skill to be a Data Engineer
Requirements
Basic programming skills using any programming language
Self support lab (Instructions provided) or ITVersity lab at additional cost for appropriate environment.
Minimum memory required based on the environment you are using with 64 bit operating system
4 GB RAM with access to proper clusters or 16 GB RAM with virtual machines such as Cloudera QuickStart VM
Last Updated 1/2022
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/05 - Setup Hive and Spark on Single Node Cluster/021 Integrate Spark 2 with Jupyter Lab_it.vtt | 8.74 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/01 - Introduction/001 CCA 175 Spark and Hadoop Developer - Curriculum_it.vtt | 8.49 KiB |
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| [TGx]Downloaded from torrentgalaxy.to .txt | 585 B |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/23 - Deployment Modes of Spark Applications/011 Submit Spark Application using client mode with log level info_it.vtt | 7.95 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/18 - Apache Spark using Python - Joining Data Sets/003 Problem Statements for Joins_it.vtt | 2.51 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/04 - Setup Hadoop on Single Node Cluster/002 Setup Prerequisties_it.vtt | 7.54 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/22 - Setup SSH Proxy to access Spark Application logs/017 Access Spark Application logs using SSH Proxy_it.vtt | 7.43 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/08 - Apache Spark 2.x - Data processing - Getting Started/006 Spark Modules_it.vtt | 7.37 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/23 - Deployment Modes of Spark Applications/009 Review the default logging while submitting Spark Applications_it.vtt | 7.34 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/22 - Setup SSH Proxy to access Spark Application logs/005 Proxy using sshuttle on Mac or Linux_it.vtt | 7.3 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/05 - Setup Hive and Spark on Single Node Cluster/009 Launch and Validate Hive_it.vtt | 7.17 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/10 - Apache Spark using SQL - Basic Transformations using Spark SQL/004 Prepare Tables_it.vtt | 6.92 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/18 - Apache Spark using Python - Joining Data Sets/014 Solution - Get Daily Revenue rolled up till Yearly_it.vtt | 6.9 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/08 - Apache Spark 2.x - Data processing - Getting Started/007 Spark Data Structures - RDDs and Data Frames.mp4 | 133.34 MiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/07 - Overview of Hadoop HDFS Commands/008 HDFS Block Size_it.vtt | 6.69 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/10 - Apache Spark using SQL - Basic Transformations using Spark SQL/external-assets-links.txt | 1.25 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/24 - Passing Application Properties Files and External Dependencies/012 Install PyYAML into specific folder and build zip_it.vtt | 6.59 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/21 - Spark Application Execution Life Cycle and Spark UI/006 Overview of Hadoop HDFS and YARN Setup on Multi-node Cluster_it.vtt | 6.54 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/04 - Setup Hadoop on Single Node Cluster/006 Download and Install Hadoop_it.vtt | 6.47 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/18 - Apache Spark using Python - Joining Data Sets/007 Solution - Get Flight Count Per US Airport_it.vtt | 6.42 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/21 - Spark Application Execution Life Cycle and Spark UI/012 Switch between Python Versions to run Spark Applications or launch Pyspark CLI_it.vtt | 6.4 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/12 - Apache Spark using SQL - DML and Partitioning/005 Inserting Data using Stage Table_it.vtt | 6.33 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/04 - Setup Hadoop on Single Node Cluster/016 Managing Single Node Hadoop_it.vtt | 6.28 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/13 - Apache Spark using SQL - Pre-defined Functions/003 Validating Functions_it.vtt | 6.27 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/11 - Apache Spark using SQL - Basic DDL and DML/005 Loading Data Into Tables - Local_it.vtt | 6.24 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/16 - Apache Spark using Python - Processing Column Data/010 Date and Time Manipulation Functions_it.vtt | 6.22 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/21 - Spark Application Execution Life Cycle and Spark UI/007 Overview of Spark Setup on top of Hadoop_it.vtt | 6.2 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/21 - Spark Application Execution Life Cycle and Spark UI/016 Run Spark Application and review default executors_it.vtt | 6.17 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/12 - Apache Spark using SQL - DML and Partitioning/003 Creating Tables using Parquet_it.vtt | 6.1 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/24 - Passing Application Properties Files and External Dependencies/010 Steps to pass external Python Libraries using pyfiles_it.vtt | 6.07 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/17 - Apache Spark using Python - Basic Transformations/016 Solution - Problem 2 - Get Total Aggregations By FlightDate_it.vtt | 6.07 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/05 - Setup Hive and Spark on Single Node Cluster/029 Intergrate Spark 3 with Jupyter Lab_it.vtt | 6.03 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/11 - Apache Spark using SQL - Basic DDL and DML/012 Truncating Tables_it.vtt | 2.89 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/10 - Apache Spark using SQL - Basic Transformations using Spark SQL/011 Conclusion - Final Solution_it.vtt | 6 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/21 - Spark Application Execution Life Cycle and Spark UI/014 Review Spark Configuration Properties at Run Time_it.vtt | 5.99 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/02 - Setting up Environment using AWS Cloud9/006 Associating Elastic IPs to Cloud9 Instance_it.vtt | 5.99 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/15 - Apache Spark using Python - Data Processing Overview/003 Understanding airlines data_it.vtt | 5.98 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/12 - Apache Spark using SQL - DML and Partitioning/002 Introduction to Partitioning_it.vtt | 1.91 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/24 - Passing Application Properties Files and External Dependencies/004 Build the JSON with Application Properties_it.vtt | 5.92 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/11 - Apache Spark using SQL - Basic DDL and DML/009 Managed Tables vs External Tables_it.vtt | 5.91 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/23 - Deployment Modes of Spark Applications/008 Overview of submitting spark application using cluster deployment mode_it.vtt | 5.89 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/22 - Setup SSH Proxy to access Spark Application logs/012 Run Spark Application on Gateway Node using PuTTY_it.vtt | 5.74 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/12 - Apache Spark using SQL - DML and Partitioning/004 Load vs. Insert_it.vtt | 5.73 KiB |
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| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/11 - Apache Spark using SQL - Basic DDL and DML/011 Drop Tables and Databases_it.vtt | 5.48 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/18 - Apache Spark using Python - Joining Data Sets/011 Solution - Get Count of Flights without master data_it.vtt | 5.46 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/07 - Overview of Hadoop HDFS Commands/002 Listing HDFS Files_it.vtt | 5.45 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/07 - Overview of Hadoop HDFS Commands/001 Getting help or usage_it.vtt | 5.45 KiB |
| [TutsNode.com] - Apache Spark 2 and 3 using Python 3 (Formerly CCA 175)/09 - Apache Spark using SQL - Getting Started/006 Understanding Warehouse Directory_it.vtt | 5.42 KiB |
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