Apache Spark 2 and 3 using Python 3 Formerly CCA 175

Apache Spark 2 and 3 using Python 3 Formerly CCA 175
     009 Apache Spark - Framework.mp4 -


     TutsNode.com.txt -


     009 Apache Spark - Framework_it.vtt -


     010 Create Data Frames from Text Files_it.vtt -


     external-assets-links.txt -


     005 Date Manipulation Functions_it.vtt -


     008 Develop Simple Application_it.vtt -


     007 Spark Data Structures - RDDs and Data Frames_it.vtt -


     013 Submit Spark Applications using SPARK_CONF_DIR with custom properties files_it.vtt -


     005 Quick Review of Spark APIs_it.vtt -


     010 Total Aggregations_it.vtt -


     004 Copying files from local to HDFS_it.vtt -


     004 Overview of EC2 related to Cloud9_it.vtt -


     014 Overview of Sorting Data Frames_it.vtt -


     002 Default Execution Master Type for Spark Applications_it.vtt -


     003 Managing HDFS Directories_it.vtt -


     009 Develop Word Count Application_it.vtt -


     003 Creating Metastore Tables using catalog_it.vtt -


     010 Changing Spark Application Log Level using custom log4j properties_it.vtt -


     007 Ranking using Windowing Functions_it.vtt -


     005 Boolean Operators_it.vtt -


     009 [Commands] Setup Jupyter Lab on Cloud9.html -


     008 Setup Data Set for Word Count application_it.vtt -


     009 Aggregating Data_it.vtt -


     004 Running Spark Applications using Local Mode_it.vtt -


     009 Pass Application Properties to Spark Application using HDFS files_it.vtt -


     004 String Manipulation Functions_it.vtt -


     006 Left or Right Outer Join_it.vtt -


     002 Overview of Spark Read APIs_it.vtt -


     003 Launch Pyspark using local mode_it.vtt -


     008 Overview of Spark Write APIs_it.vtt -


     014 Submit Spark Applications using Properties File_it.vtt -


     007 Setup Jupyter Lab_it.vtt -


     004 Aggregations using Windowing Functions_it.vtt -


     006 Filtering Data_it.vtt -


     007 Basic IO operations and processing data using Collections_it.vtt -


     external-assets-links.txt -


     002 Create Spark Metastore Tables_it.vtt -


     019 Validate Jupyter Lab Setup_it.vtt -


     005 Using LEAD or LAG_it.vtt -


     011 Configure Passwordless Login using PuTTYGen Keys on Windows_it.vtt -


     003 [Commands] - Setup Prerequisties.html -


     006 Accessing Local Files using Spark CLI or Spark Applications_it.vtt -


     007 Managing Spark Metastore Databases_it.vtt -


     005 [Commands] - Setup Password less login.html -


     008 Create Partitioned Tables_it.vtt -


     011 Using Spark SQL_it.vtt -


     007 [Commands] - Download and Install Hadoop.html -


     015 Detailed Validation of the Application_it.vtt -


     011 Aggregate data using groupBy_it.vtt -


     009 [Commands] - Configure Hadoop HDFS.html -


     014 Running the application using YARN_it.vtt -


     external-assets-links.txt -


     011 [Commands] - Start and Validate HDFS.html -


     002 Overview of Private and Public ips of servers in the cluster_it.vtt -


     012 Configure Hadoop YARN_it.vtt -


     013 [Commands] - Configure Hadoop YARN.html -


     017 Overview of Spark History Server UI_it.vtt -


     014 Start and Validate YARN_it.vtt -


     015 [Commands] - Start and Validate YARN.html -


     012 HDFS File Permissions_it.vtt -


     006 Extracting Strings using substring_it.vtt -


     017 [Commands] - Managing Single Node Hadoop.html -


     004 Python Collections_it.vtt -


     004 Filtering Example using dates_it.vtt -


     002 [Commands] - Setup Data Sets for Practice.html -


     003 Overview of Data Types_it.vtt -


     015 Configure Spark 2_it.vtt -


     004 [Commands] - Download and Install Hive.html -


     005 Overview of Spark CLI Commands such as Pyspark_it.vtt -


     010 Quick Tour of PuTTY on Windows_it.vtt -


     006 [Commands] - Setup Database for Hive Metastore.html -


     014 Using to_date and to_timestamp_it.vtt -


     002 Analyze Datasets for Joins_it.vtt -


     008 [Commands] - Configure and Setup Hive Metastore.html -


     004 Overview of Spark SQL Properties_it.vtt -


     002 Review of Setup Steps for Spark Environment_it.vtt -


     010 [Commands] - Launch and Validate Hive.html -


     008 Read data from files_it.vtt -


     017 Validate Spark 2 using CLIs_it.vtt -


     012 [Commands] - Scripts to Manage Single Node Cluster.html -


     005 Using Inner Joins_it.vtt -


     006 Overview of Numeric Functions_it.vtt -


     014 [Commands] - Download and Install Spark 2.html -


     003 Functions in Python_it.vtt -


     027 Validate Spark 3 using CLIs_it.vtt -


     016 [Commands] - Configure Spark 2.html -


     011 Exercise - Getting Started with Spark SQL_it.vtt -


     004 Provision Ubuntu VM from GCP_it.vtt -


     018 [Commands] - Validate Spark 2 using CLIs.html -


     005 Setup Docker_it.vtt -


     005 Understanding YARN Capacity of an Enterprise Cluster_it.vtt -


     020 [Commands] - Validate Jupyter Lab Setup.html -


     36816926-airport-codes-na.txt -


     005 Map Reduce operations on Python Collections_it.vtt -


     022 [Commands] - Integrate Spark 2 with Jupyter Lab.html -


     003 Basic Filtering of Data_it.vtt -


     023 Download and Install Spark 3_it.vtt -


     024 [Commands] - Download and Install Spark 3.html -


     015 Develop Shell Script to run Spark Application_it.vtt -


     016 Update Hosts file for worker nodes using private ips_it.vtt -


     026 [Commands] - Configure Spark 3.html -


     003 Overview of SSH Proxy_it.vtt -


     007 Extracting Strings using split_it.vtt -


     028 [Commands] - Validate Spark 3 using CLIs.html -


     002 Basic Programming Constructs_it.vtt -


     015 Solution - Problem 1 - Get Total Aggregations_it.vtt -


     030 [Commands] - Integrate Spark 3 with Jupyter Lab.html -


     008 Dealing with Nulls_it.vtt -


     012 Aggregate data using rollup_it.vtt -


     001 Overview of Predefined Functions in Spark_it.vtt -


     006 Getting File Metadata_it.vtt -


     005 Setup Database for Hive Metastore_it.vtt -


     008 Setup Jupyter Lab on Cloud9_it.vtt -


     012 Submit Spark Application using cluster mode with log level info_it.vtt -


     009 HDFS Replication Factor_it.vtt -


     007 Configure and Setup Hive Metastore_it.vtt -


     011 Validating Writing Data to Files_it.vtt -


     004 Inferring Schema for Tables_it.vtt -


     008 Joining Tables - Outer_it.vtt -


     015 Understanding Proxying Network Traffic overcoming Windows Caveats_it.vtt -


     018 Using CASE and WHEN_it.vtt -


     external-assets-links.txt -


     010 Write data to files_it.vtt -


     001 Starting Spark Context - pyspark_it.vtt -


     010 Overview of File Formats_it.vtt -


     004 Apache Spark Official Documentation (Very Important)_it.vtt -


     008 Configure Hadoop HDFS_it.vtt -


     008 Pass Application Properties to Spark Application using local files in cluster mo_it.vtt -


     006 Overview of Data Frame APIs_it.vtt -


     003 Using ITVersity labs_it.vtt -


     005 Define Schema for Tables using StructType_it.vtt -


     008 Loading Data into Partitioned Tables_it.vtt -


     013 Aggregate data using cube.cmproj_it.vtt -


     009 Using CASE and WHEN_it.vtt -


     001 Overview of Spark Metastore_it.vtt -


     007 Joining Tables - Inner_it.vtt -


     014 Setup Proxy on Windows and validate using Microsoft Edge browser_it.vtt -


     001 Introduction and Setting up Python_it.vtt -


     006 Getting first and last values_it.vtt -


     002 Spark SQL - Overview_it.vtt -


     025 Configure Spark 3_it.vtt -


     005 Previewing Airlines Data_it.vtt -


     002 Steps to pass application properties using JSON_it.vtt -


     011 Using HDFS Stat Commands_it.vtt -


     006 Inserting into Existing Tables_it.vtt -


     013 Exercise - Managed Tables_it.vtt -


     004 Special Functions - col and lit_it.vtt -


     010 Query Example - Word Count_it.vtt -


     external-assets-links.txt -


     004 Inferring Schema_it.vtt -


     007 Pass Application Properties to Spark Application using local files in client mod_it.vtt -


     003 Setup EMR Cluster with Hadoop and Spark_it.vtt -


     010 Start and Validate HDFS_it.vtt -


     009 Process data using Spark APIs_it.vtt -


     008 Order of execution of SQL_it.vtt -


     016 Dealing with Unix Timestamp_it.vtt -


     015 Using date_format Function_it.vtt -


     021 Integrate Spark 2 with Jupyter Lab_it.vtt -


     017 Dealing with Nulls_it.vtt -


     001 Prepare Datasets for Joins_it.vtt -


     013 Overriding Properties_it.vtt -


     007 Previewing Data in HDFS File_it.vtt -


     001 CCA 175 Spark and Hadoop Developer - Curriculum_it.vtt -


     003 Overview of GCP Pricing_it.vtt -


     006 Using IN Operator or isin Function_it.vtt -


     [TGx]Downloaded from torrentgalaxy.to .txt -


     003 Passing Run Time Arguments_it.vtt -


     007 Read and Process data from Metastore Tables_it.vtt -


     011 Create Data Frames from Hive Tables_it.vtt -


     017 Pass External Dependencies to Spark Application using HDFS files_it.vtt -


     011 Submit Spark Application using client mode with log level info_it.vtt -


     external-assets-links.txt -


     013 Explore APIs to process YAML Data using Pyspark_it.vtt -


     001 Getting Started - Overview_it.vtt -


     012 Using Date and Time Trunc Functions_it.vtt -


     013 Switch between Pyspark Versions to run Spark Applications or launch Pyspark CLI_it.vtt -


     003 Problem Statements for Joins_it.vtt -


     0 -


     007 Basic IO operations and processing data using Collections.mp4 -


     006 Loading Data Into Tables - HDFS_it.vtt -


     006 Create Function for Spark Session_it.vtt -


     010 Filtering Window Function Results_it.vtt -


     005 Copying files from HDFS to local_it.vtt -


     008 Padding Characters around Strings_it.vtt -


     009 Dealing with Nulls while Filtering_it.vtt -


     008 Using BETWEEN Operator_it.vtt -


     004 Overall Capacity of Big Data Cluster with Hadoop and Spark_it.vtt -


     002 Create Dummy Data Frame_it.vtt -


     015 Pass External Dependencies to Spark Application using local files in client mode_it.vtt -


     002 Getting Started with Pycharm_it.vtt -


     007 Using LIKE Operator or like Function_it.vtt -


     016 Pass External Dependencies to Spark Apps using local files in cluster mode_it.vtt -


     002 Setup Prerequisties_it.vtt -


     009 Saving as Partitioned Table_it.vtt -


     external-assets-links.txt -


     017 Access Spark Application logs using SSH Proxy_it.vtt -


     006 Spark Modules_it.vtt -


     009 Trimming Characters from Strings_it.vtt -


     009 Review the default logging while submitting Spark Applications_it.vtt -


     011 Date and Time Arithmetic_it.vtt -


     005 Proxy using sshuttle on Mac or Linux_it.vtt -


     009 Launch and Validate Hive_it.vtt -


     006 Accessing Spark Application logs via SSH Proxy using sshuttle on Mac or Linux_it.vtt -


     004 Prepare Tables_it.vtt -


     011 Scripts to Manage Single Node Cluster_it.vtt -


     012 Productionizing the Code_it.vtt -


     014 Solution - Get Daily Revenue rolled up till Yearly_it.vtt -


     007 Overview of Functions_it.vtt -


     002 Creating Cloud9 Environment_it.vtt -


     010 Creating Temporary Views_it.vtt -


     001 Setup Virtual Environment and Install Pyspark_it.vtt -


     001 Setup Data Sets for Practice_it.vtt -


     010 Role of Spark Metastore or Hive Metastore_it.vtt -


     009 Solution - Get Dormant US Airports_it.vtt -


     1 -


     007 Spark Data Structures - RDDs and Data Frames.mp4 -


     008 HDFS Block Size_it.vtt -


     external-assets-links.txt -


     001 Passing Application Properties Files and External Dependencies - Introduction_it.vtt -


     010 Solution - Get Origins without master data_it.vtt -


     012 Install PyYAML into specific folder and build zip_it.vtt -


     006 Overview of Hadoop HDFS and YARN Setup on Multi-node Cluster_it.vtt -


     006 Download and Install Hadoop_it.vtt -


     010 Sorting Data_it.vtt -


     010 Using Dynamic Partition Mode_it.vtt -


     011 Overview of Spark Submit Command_it.vtt -


     007 Solution - Get Flight Count Per US Airport_it.vtt -


     012 Switch between Python Versions to run Spark Applications or launch Pyspark CLI_it.vtt -


     005 Inserting Data using Stage Table_it.vtt -


     004 Accessing OS Environment Variables_it.vtt -


     016 Managing Single Node Hadoop_it.vtt -


     003 Validating Functions_it.vtt -


     005 Loading Data Into Tables - Local_it.vtt -


     010 Date and Time Manipulation Functions_it.vtt -


     007 Overview of Spark Setup on top of Hadoop_it.vtt -


     016 Run Spark Application and review default executors_it.vtt -


     002 Data Frames for basic transformations_it.vtt -


     003 Creating Tables using Parquet_it.vtt -


     010 Steps to pass external Python Libraries using pyfiles_it.vtt -


     016 Solution - Problem 2 - Get Total Aggregations By FlightDate_it.vtt -


     029 Intergrate Spark 3 with Jupyter Lab_it.vtt -


     012 Truncating Tables_it.vtt -


     013 Setting up Data for Production Validation_it.vtt -


     011 Conclusion - Final Solution_it.vtt -


     external-assets-links.txt -


     014 Review Spark Configuration Properties at Run Time_it.vtt -


     006 Associating Elastic IPs to Cloud9 Instance_it.vtt -


     003 Understanding airlines data_it.vtt -


     002 Introduction to Partitioning_it.vtt -


     013 Date and Time Extract Functions_it.vtt -


     004 Build the JSON with Application Properties_it.vtt -


     009 Managed Tables vs External Tables_it.vtt -


     008 Overview of submitting spark application using cluster deployment mode_it.vtt -


     007 Overview of submitting spark application using client deployment mode_it.vtt -


     005 Common String Manipulation Functions_it.vtt -


     012 Run Spark Application on Gateway Node using PuTTY_it.vtt -


     004 Load vs. Insert_it.vtt -


     003 Launching and using Spark SQL CLI_it.vtt -


     007 Data Type Conversion_it.vtt -


     004 Setup Password less login_it.vtt -


     009 Overview of Subqueries_it.vtt -


     011 Drop Tables and Databases_it.vtt -


     011 Solution - Get Count of Flights without master data_it.vtt -


     002 Listing HDFS Files_it.vtt -


     001 Getting help or usage_it.vtt -


     006 Understanding Warehouse Directory_it.vtt -


     013 Solution - Get Daily Revenue_it.vtt -


     external-assets-links.txt -


     007 Adding Partitions to Tables_it.vtt -


     001 Introduction - Overview of Spark SQL Functions_it.vtt -


     006 Validating Python_it.vtt -


     005 Projecting Data_it.vtt -


     003 Warming up with Cloud9 IDE_it.vtt -


     005 Explore APIs to process JSON Data using Pyspark_it.vtt -


     007 Increase EBS Volume Size of Cloud9 Instance_it.vtt -


     002 Prepare HR Database_it.vtt -


     013 Download and Install Spark 2_it.vtt -


     003 Define Problem Statement_it.vtt -


     003 Categories of Functions_it.vtt -


     011 Exercise - Partitioned Tables_it.vtt -


     013 Configure Tunnel to Gateway Node using PuTTY on Windows for SSH Proxy_it.vtt -


     002 Overview of Types of Spark Cluster Managers_it.vtt -


     001 Signing up for GCP_it.vtt -


     001 Setup SSH Proxy to access Spark Application logs - Introduction_it.vtt -


     001 Basic Transformations using Spark SQL - Introduction_it.vtt -


     005 Opening ports for Cloud9 Instance_it.vtt -


     001 Introduction_it.vtt -


     003 Overview of Windowing Functions_it.vtt -


     external-assets-links.txt -


     009 Inserting Data into Partitions_it.vtt -


     001 Introduction to Windowing Functions_it.vtt -


     018 Overview of performing tasks related to Spark Applications using Mac_it.vtt -


     008 Creating External Tables_it.vtt -


     005 Running OS Commands using Spark SQL_it.vtt -


     001 Getting Started with Cloud9_it.vtt -


     001 Introduction to Single Node Hadoop Cluster_it.vtt -


     006 Creating Partitioned Tables_it.vtt -


     008 Managing Spark Metastore Tables_it.vtt -


     006 Setting up Data Sets for Basic IO Operations_it.vtt -


     002 Exploring Spark Catalog_it.vtt -


     008 Solution - Get Flight Count Per US State_it.vtt -


     004 Setup sshuttle on Mac or Linux_it.vtt -


     001 Introduction_it.vtt -


     002 Overview of Functions_it.vtt -


     012 Solution - Get Count of Flights per Airport without master data_it.vtt -


     001 Deploying and Monitoring Spark Applications - Introduction_it.vtt -


     006 Refactor the Spark Application Code to use properties from JSON_it.vtt -


     005 Getting Started with Spark_it.vtt -


     002 Overview of Spark Documentation_it.vtt -


     external-assets-links.txt -


     003 Setup Working Directory to pass application properties using JSON_it.vtt -


     007 Setup Sample Data_it.vtt -


     001 Overview of Basic Transformations_it.vtt -


     007 Loading Data - Append and Overwrite_it.vtt -


     001 Introduction_it.vtt -


     003 Download and Install Hive_it.vtt -


     010 Getting HDFS Storage Usage_it.vtt -


     002 Overview of GCP Web Console_it.vtt -


     004 Adding Comments_it.vtt -


     007 Side effects of using SSH Proxy to access Spark Application Logs_it.vtt -


     009 Retrieve Metadata of Tables_it.vtt -


     014 Refactor the Spark Application Code to use properties from YAML_it.vtt -


     010 Review Deployment Process of Spark Application_it.vtt -


     external-assets-links.txt -


     011 Create required YAML File to externalize application properties_it.vtt -


     external-assets-links.txt -


     001 Deployment Modes of Spark Applications - Introduction_it.vtt -


     external-assets-links.txt -


     008 Steps to setup SSH Proxy on Windows to access Spark Application Logs_it.vtt -


     004 Overview of Joins_it.vtt -


     external-assets-links.txt -


     2 -


     010 Create Data Frames from Text Files.mp4 -


     3 -


     008 Develop Simple Application.mp4 -


     4 -


     013 Submit Spark Applications using SPARK_CONF_DIR with custom properties files.mp4 -


     5 -


     005 Quick Review of Spark APIs.mp4 -


     6 -


     004 Copying files from local to HDFS.mp4 -


     7 -


     003 Managing HDFS Directories.mp4 -


     8 -


     005 Date Manipulation Functions.mp4 -


     9 -


     010 Changing Spark Application Log Level using custom log4j properties.mp4 -


     10 -


     009 Aggregating Data.mp4 -


     11 -


     008 Setup Data Set for Word Count application.mp4 -


     12 -


     009 Pass Application Properties to Spark Application using HDFS files.mp4 -


     13 -


     002 Default Execution Master Type for Spark Applications.mp4 -


     14 -


     014 Running the application using YARN.mp4 -


     15 -


     005 Map Reduce operations on Python Collections.mp4 -


     16 -


     004 Apache Spark Official Documentation (Very Important).mp4 -


     17 -


     005 Using LEAD or LAG.mp4 -


     18 -


     007 Setup Jupyter Lab.mp4 -


     19 -


     004 Running Spark Applications using Local Mode.mp4 -


     20 -


     007 Ranking using Windowing Functions.mp4 -


     21 -


     014 Overview of Sorting Data Frames.mp4 -


     22 -


     007 Managing Spark Metastore Databases.mp4 -


     23 -


     005 Setup Docker.mp4 -


     24 -


     006 Accessing Local Files using Spark CLI or Spark Applications.mp4 -


     25 -


     004 Overview of Spark SQL Properties.mp4 -


     26 -


     002 Overview of Spark Read APIs.mp4 -


     27 -


     003 Launch Pyspark using local mode.mp4 -


     28 -


     012 Submit Spark Application using cluster mode with log level info.mp4 -


     29 -


     004 String Manipulation Functions.mp4 -


     30 -


     002 Create Spark Metastore Tables.mp4 -


     31 -


     015 Detailed Validation of the Application.mp4 -


     32 -


     008 Loading Data into Partitioned Tables.mp4 -


     33 -


     003 Overview of Data Types.mp4 -


     34 -


     006 Getting File Metadata.mp4 -


     35 -


     011 Submit Spark Application using client mode with log level info.mp4 -


     36 -


     019 Validate Jupyter Lab Setup.mp4 -


     37 -


     017 Validate Spark 2 using CLIs.mp4 -


     38 -


     005 Overview of Spark CLI Commands such as Pyspark.mp4 -


     39 -


     010 Total Aggregations.mp4 -


     40 -


     006 Getting first and last values.mp4 -


     41 -


     014 Submit Spark Applications using Properties File.mp4 -


     42 -


     027 Validate Spark 3 using CLIs.mp4 -


     43 -


     009 Develop Word Count Application.mp4 -


     44 -


     004 Aggregations using Windowing Functions.mp4 -


     45 -


     010 Overview of File Formats.mp4 -


     46 -


     008 Overview of Spark Write APIs.mp4 -


     47 -


     025 Configure Spark 3.mp4 -


     48 -


     011 Exercise - Getting Started with Spark SQL.mp4 -


     49 -


     006 Left or Right Outer Join.mp4 -


     50 -


     002 Review of Setup Steps for Spark Environment.mp4 -


     51 -


     007 Configure and Setup Hive Metastore.mp4 -


     52 -


     007 Pass Application Properties to Spark Application using local files in client mod.mp4 -


     53 -


     004 Inferring Schema.mp4 -


     54 -


     005 Boolean Operators.mp4 -


     55 -


     008 Pass Application Properties to Spark Application using local files in cluster mo.mp4 -


     56 -


     004 Provision Ubuntu VM from GCP.mp4 -


     57 -


     009 HDFS Replication Factor.mp4 -


     58 -


     012 HDFS File Permissions.mp4 -


     59 -


     003 Creating Metastore Tables using catalog.mp4 -


     60 -


     016 Update Hosts file for worker nodes using private ips.mp4 -


     61 -


     002 Analyze Datasets for Joins.mp4 -


     62 -


     015 Configure Spark 2.mp4 -


     63 -


     002 Steps to pass application properties using JSON.mp4 -


     64 -


     002 Basic Programming Constructs.mp4 -


     65 -


     008 Create Partitioned Tables.mp4 -


     66 -


     006 Loading Data Into Tables - HDFS.mp4 -


     67 -


     009 Using CASE and WHEN.mp4 -


     68 -


     008 Configure Hadoop HDFS.mp4 -


     69 -


     003 Overview of SSH Proxy.mp4 -


     70 -


     008 Joining Tables - Outer.mp4 -


     71 -


     006 Extracting Strings using substring.mp4 -


     72 -


     005 Define Schema for Tables using StructType.mp4 -


     73 -


     010 Query Example - Word Count.mp4 -


     74 -


     005 Previewing Airlines Data.mp4 -


     75 -


     003 Using ITVersity labs.mp4 -


     76 -


     011 Create Data Frames from Hive Tables.mp4 -


     77 -


     009 Process data using Spark APIs.mp4 -


     78 -


     002 Listing HDFS Files.mp4 -


     79 -


     006 Spark Modules.mp4 -


     80 -


     015 Solution - Problem 1 - Get Total Aggregations.mp4 -


     81 -


     013 Setting up Data for Production Validation.mp4 -


     82 -


     013 Overriding Properties.mp4 -


     83 -


     010 Start and Validate HDFS.mp4 -


     84 -


     008 Dealing with Nulls.mp4 -


     85 -


     005 Using Inner Joins.mp4 -


     86 -


     008 HDFS Block Size.mp4 -


     87 -


     008 Setup Jupyter Lab on Cloud9.mp4 -


     88 -


     013 Switch between Pyspark Versions to run Spark Applications or launch Pyspark CLI.mp4 -


     89 -


     005 Copying files from HDFS to local.mp4 -


     90 -


     006 Filtering Data.mp4 -


     91 -


     015 Pass External Dependencies to Spark Application using local files in client mode.mp4 -


     92 -


     005 Setup Database for Hive Metastore.mp4 -


     93 -


     007 Extracting Strings using split.mp4 -


     94 -


     012 Using Date and Time Trunc Functions.mp4 -


     95 -


     006 Overview of Data Frame APIs.mp4 -


     96 -


     016 Pass External Dependencies to Spark Apps using local files in cluster mode.mp4 -


     97 -


     001 Starting Spark Context - pyspark.mp4 -


     98 -


     002 Overview of Private and Public ips of servers in the cluster.mp4 -


     99 -


     017 Pass External Dependencies to Spark Application using HDFS files.mp4 -


     100 -


     008 Read data from files.mp4 -


     101 -


     006 Inserting into Existing Tables.mp4 -


     102 -


     008 Order of execution of SQL.mp4 -


     103 -


     009 Launch and Validate Hive.mp4 -


     104 -


     004 Python Collections.mp4 -


     105 -


     004 Special Functions - col and lit.mp4 -


     106 -


     015 Understanding Proxying Network Traffic overcoming Windows Caveats.mp4 -


     107 -


     001 Getting help or usage.mp4 -


     108 -


     006 Validating Python.mp4 -


     109 -


     003 Overview of GCP Pricing.mp4 -


     110 -


     017 Dealing with Nulls.mp4 -


     111 -


     014 Using to_date and to_timestamp.mp4 -


     112 -


     017 Overview of Spark History Server UI.mp4 -


     113 -


     007 Joining Tables - Inner.mp4 -


     114 -


     011 Overview of Spark Submit Command.mp4 -


     115 -


     003 Validating Functions.mp4 -


     116 -


     014 Review Spark Configuration Properties at Run Time.mp4 -


     117 -


     002 Setup Prerequisties.mp4 -


     118 -


     013 Exercise - Managed Tables.mp4 -


     119 -


     006 Overview of Numeric Functions.mp4 -


     120 -


     36340624-airtrafficdata.zip -


     121 -


     006 Download and Install Hadoop.mp4 -


     122 -


     009 Managed Tables vs External Tables.mp4 -


     123 -


     011 Using Spark SQL.mp4 -


     124 -


     008 Padding Characters around Strings.mp4 -


     125 -


     006 Using IN Operator or isin Function.mp4 -


     126 -


     005 Inserting Data using Stage Table.mp4 -


     127 -


     011 Aggregate data using groupBy.mp4 -


     128 -


     006 Overview of Hadoop HDFS and YARN Setup on Multi-node Cluster.mp4 -


     129 -


     017 Access Spark Application logs using SSH Proxy.mp4 -


     130 -


     013 Explore APIs to process YAML Data using Pyspark.mp4 -


     131 -


     004 Prepare Tables.mp4 -


     132 -


     014 Setup Proxy on Windows and validate using Microsoft Edge browser.mp4 -


     133 -


     010 Role of Spark Metastore or Hive Metastore.mp4 -


     134 -


     018 Using CASE and WHEN.mp4 -


     135 -


     001 Introduction and Setting up Python.mp4 -


     136 -


     005 Understanding YARN Capacity of an Enterprise Cluster.mp4 -


     137 -


     010 Using Dynamic Partition Mode.mp4 -


     138 -


     004 Filtering Example using dates.mp4 -


     139 -


     006 Associating Elastic IPs to Cloud9 Instance.mp4 -


     140 -


     003 Functions in Python.mp4 -


     141 -


     009 Saving as Partitioned Table.mp4 -


     142 -


     007 Overview of Spark Setup on top of Hadoop.mp4 -


     143 -


     010 Sorting Data.mp4 -


     144 -


     002 Getting Started with Pycharm.mp4 -


     145 -


     004 Inferring Schema for Tables.mp4 -


     146 -


     002 Data Frames for basic transformations.mp4 -


     147 -


     007 Overview of Functions.mp4 -


     148 -


     001 Setup Virtual Environment and Install Pyspark.mp4 -


     149 -


     005 Proxy using sshuttle on Mac or Linux.mp4 -


     150 -


     005 Running OS Commands using Spark SQL.mp4 -


     151 -


     010 Creating Temporary Views.mp4 -


     152 -


     008 Using BETWEEN Operator.mp4 -


     153 -


     001 Overview of Predefined Functions in Spark.mp4 -


     154 -


     011 Validating Writing Data to Files.mp4 -


     155 -


     016 Solution - Problem 2 - Get Total Aggregations By FlightDate.mp4 -


     156 -


     001 Overview of Spark Metastore.mp4 -


     157 -


     006 Create Function for Spark Session.mp4 -


     158 -


     013 Aggregate data using cube.cmproj.mp4 -


     159 -


     005 Projecting Data.mp4 -


     160 -


     006 Understanding Warehouse Directory.mp4 -


     161 -


     011 Configure Passwordless Login using PuTTYGen Keys on Windows.mp4 -


     162 -


     003 Basic Filtering of Data.mp4 -


     163 -


     016 Dealing with Unix Timestamp.mp4 -


     164 -


     002 Spark SQL - Overview.mp4 -


     165 -


     009 Review the default logging while submitting Spark Applications.mp4 -


     166 -


     001 Passing Application Properties Files and External Dependencies - Introduction.mp4 -


     167 -


     012 Run Spark Application on Gateway Node using PuTTY.mp4 -


     168 -


     029 Intergrate Spark 3 with Jupyter Lab.mp4 -


     169 -


     006 Accessing Spark Application logs via SSH Proxy using sshuttle on Mac or Linux.mp4 -


     170 -


     003 Launching and using Spark SQL CLI.mp4 -


     171 -


     021 Integrate Spark 2 with Jupyter Lab.mp4 -


     172 -


     007 Overview of submitting spark application using client deployment mode.mp4 -


     173 -


     010 Quick Tour of PuTTY on Windows.mp4 -


     174 -


     011 Date and Time Arithmetic.mp4 -


     175 -


     015 Develop Shell Script to run Spark Application.mp4 -


     176 -


     001 Setup Data Sets for Practice.mp4 -


     177 -


     001 Prepare Datasets for Joins.mp4 -


     178 -


     012 Aggregate data using rollup.mp4 -


     179 -


     010 Write data to files.mp4 -


     180 -


     002 Prepare HR Database.mp4 -


     181 -


     015 Using date_format Function.mp4 -


     182 -


     009 Dealing with Nulls while Filtering.mp4 -


     183 -


     001 CCA 175 Spark and Hadoop Developer - Curriculum.mp4 -


     184 -


     016 Run Spark Application and review default executors.mp4 -


     185 -


     007 Previewing Data in HDFS File.mp4 -


     186 -


     007 Read and Process data from Metastore Tables.mp4 -


     187 -


     007 Loading Data - Append and Overwrite.mp4 -


     188 -


     004 Overall Capacity of Big Data Cluster with Hadoop and Spark.mp4 -


     189 -


     006 Creating Partitioned Tables.mp4 -


     190 -


     016 Managing Single Node Hadoop.mp4 -


     191 -


     003 Setup EMR Cluster with Hadoop and Spark.mp4 -


     192 -


     002 Overview of Types of Spark Cluster Managers.mp4 -


     193 -


     009 Trimming Characters from Strings.mp4 -


     194 -


     011 Scripts to Manage Single Node Cluster.mp4 -


     195 -


     003 Passing Run Time Arguments.mp4 -


     196 -


     010 Filtering Window Function Results.mp4 -


     197 -


     007 Using LIKE Operator or like Function.mp4 -


     198 -


     004 Build the JSON with Application Properties.mp4 -


     199 -


     002 Creating Cloud9 Environment.mp4 -


     200 -


     011 Drop Tables and Databases.mp4 -


     201 -


     006 Setting up Data Sets for Basic IO Operations.mp4 -


     202 -


     004 Setup sshuttle on Mac or Linux.mp4 -


     203 -


     005 Loading Data Into Tables - Local.mp4 -


     204 -


     003 Creating Tables using Parquet.mp4 -


     205 -


     005 Explore APIs to process JSON Data using Pyspark.mp4 -


     206 -


     014 Solution - Get Daily Revenue rolled up till Yearly.mp4 -


     207 -


     009 Retrieve Metadata of Tables.mp4 -


     208 -


     002 Overview of Spark Documentation.mp4 -


     209 -


     012 Switch between Python Versions to run Spark Applications or launch Pyspark CLI.mp4 -


     210 -


     012 Install PyYAML into specific folder and build zip.mp4 -


     211 -


     008 Solution - Get Flight Count Per US State.mp4 -


     212 -


     013 Date and Time Extract Functions.mp4 -


     213 -


     005 Getting Started with Spark.mp4 -


     214 -


     003 Understanding airlines data.mp4 -


     215 -


     010 Solution - Get Origins without master data.mp4 -


     216 -


     007 Increase EBS Volume Size of Cloud9 Instance.mp4 -


     217 -


     008 Overview of submitting spark application using cluster deployment mode.mp4 -


     218 -


     004 Load vs. Insert.mp4 -


     219 -


     010 Getting HDFS Storage Usage.mp4 -


     220 -


     007 Adding Partitions to Tables.mp4 -


     221 -


     011 Conclusion - Final Solution.mp4 -


     222 -


     001 Introduction.mp4 -


     223 -


     007 Setup Sample Data.mp4 -


     224 -


     007 Solution - Get Flight Count Per US Airport.mp4 -


     225 -


     005 Common String Manipulation Functions.mp4 -


     226 -


     008 Creating External Tables.mp4 -


     227 -


     011 Solution - Get Count of Flights without master data.mp4 -


     228 -


     013 Solution - Get Daily Revenue.mp4 -


     229 -


     004 Adding Comments.mp4 -


     230 -


     011 Exercise - Partitioned Tables.mp4 -


     231 -


     009 Solution - Get Dormant US Airports.mp4 -


     232 -


     002 Create Dummy Data Frame.mp4 -


     233 -


     007 Data Type Conversion.mp4 -


     234 -


     012 Productionizing the Code.mp4 -


     235 -


     009 Overview of Subqueries.mp4 -


     236 -


     013 Download and Install Spark 2.mp4 -


     237 -


     009 Inserting Data into Partitions.mp4 -


     238 -


     010 Date and Time Manipulation Functions.mp4 -


     239 -


     001 Signing up for GCP.mp4 -


     240 -


     001 Introduction.mp4 -


     241 -


     010 Steps to pass external Python Libraries using pyfiles.mp4 -


     242 -


     001 Setup SSH Proxy to access Spark Application logs - Introduction.mp4 -


     243 -


     013 Configure Tunnel to Gateway Node using PuTTY on Windows for SSH Proxy.mp4 -


     244 -


     004 Accessing OS Environment Variables.mp4 -


     245 -


     001 Getting Started with Cloud9.mp4 -


     246 -


     006 Refactor the Spark Application Code to use properties from JSON.mp4 -


     247 -


     003 Overview of Windowing Functions.mp4 -


     248 -


     005 Opening ports for Cloud9 Instance.mp4 -


     249 -


     002 Exploring Spark Catalog.mp4 -


     250 -


     018 Overview of performing tasks related to Spark Applications using Mac.mp4 -


     251 -


     012 Truncating Tables.mp4 -


     252 -


     002 Overview of Functions.mp4 -


     253 -


     003 Define Problem Statement.mp4 -


     254 -


     001 Introduction to Single Node Hadoop Cluster.mp4 -


     255 -


     012 Solution - Get Count of Flights per Airport without master data.mp4 -


     256 -


     003 Categories of Functions.mp4 -


     257 -


     008 Managing Spark Metastore Tables.mp4 -


     258 -


     001 Basic Transformations using Spark SQL - Introduction.mp4 -


     259 -


     001 Deploying and Monitoring Spark Applications - Introduction.mp4 -


     260 -


     007 Side effects of using SSH Proxy to access Spark Application Logs.mp4 -


     261 -


     004 Setup Password less login.mp4 -


     262 -


     003 Warming up with Cloud9 IDE.mp4 -


     263 -


     003 Setup Working Directory to pass application properties using JSON.mp4 -


     264 -


     001 Overview of Basic Transformations.mp4 -


     265 -


     002 Overview of GCP Web Console.mp4 -


     266 -


     023 Download and Install Spark 3.mp4 -


     267 -


     003 Download and Install Hive.mp4 -


     268 -


     001 Introduction.mp4 -


     269 -


     008 Steps to setup SSH Proxy on Windows to access Spark Application Logs.mp4 -


     270 -


     011 Using HDFS Stat Commands.mp4 -


     271 -


     001 Deployment Modes of Spark Applications - Introduction.mp4 -


     272 -


     014 Start and Validate YARN.mp4 -


     273 -


     004 Overview of EC2 related to Cloud9.mp4 -


     274 -


     001 Introduction to Windowing Functions.mp4 -


     275 -


     001 Getting Started - Overview.mp4 -


     276 -


     001 Introduction - Overview of Spark SQL Functions.mp4 -


     277 -


     014 Refactor the Spark Application Code to use properties from YAML.mp4 -


     278 -


     003 Problem Statements for Joins.mp4 -


     279 -


     011 Create required YAML File to externalize application properties.mp4 -


     280 -


     002 Introduction to Partitioning.mp4 -


     281 -


     012 Configure Hadoop YARN.mp4 -


     282 -


     004 Overview of Joins.mp4 -


     283 -


     010 Review Deployment Process of Spark Application.mp4 -


     284 -


     009 Setup PuTTY and PuTTYgen on Windows.mp4 -

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