[] Udemy - Data Engineering using AWS Analytics Services 收录时间:2021-12-09 04:02:04 文件大小:4GB 下载次数:1 最近下载:2021-12-09 04:02:04 磁力链接: magnet:?xt=urn:btih:7b20a993fc85bb4c2d4ace1bd0f10e4500cb657a 立即下载 复制链接 文件列表 11 Data Ingestion using Lambda Functions/014 Deploying lambda function.mp4 98MB 12 Streaming Pipeline using Kinesis/009 Start and Validate Agent.mp4 98MB 08 Deep Dive into Glue Catalog/009 Managing Glue Catalog using Python Boto3.mp4 92MB 12 Streaming Pipeline using Kinesis/002 Rotating Logs.mp4 86MB 09 Exploring Glue Job APIs/003 Running baseline Glue Job.mp4 76MB 06 Overview of Glue Components/005 Create and Run the Glue Job.mp4 73MB 14 Populating GitHub Data to Dynamodb/007 Processing Data.mp4 68MB 11 Data Ingestion using Lambda Functions/010 Validating files incrementally.mp4 67MB 13 Consuming Data from s3 using boto3/006 Read Content from s3 object.mp4 67MB 11 Data Ingestion using Lambda Functions/007 Develop upload functionality to s3.mp4 64MB 05 Development Lifecycle for Pyspark/008 Read data from files.mp4 64MB 11 Data Ingestion using Lambda Functions/006 Validating s3 access for local development.mp4 63MB 11 Data Ingestion using Lambda Functions/011 Reading and Writing Bookmark using s3.mp4 62MB 08 Deep Dive into Glue Catalog/004 Upload data to s3.mp4 59MB 11 Data Ingestion using Lambda Functions/012 Maintaining Bookmark using s3.mp4 57MB 14 Populating GitHub Data to Dynamodb/010 Dynamodb CRUD Operations.mp4 54MB 07 Setup Spark History Server for Glue Jobs/002 Setup Spark History Server on AWS.mp4 53MB 12 Streaming Pipeline using Kinesis/003 Setup Kinesis Firehose Agent.mp4 53MB 05 Development Lifecycle for Pyspark/011 Validating Writing Data to Files.mp4 51MB 11 Data Ingestion using Lambda Functions/004 Develop download functionality using requests.mp4 50MB 12 Streaming Pipeline using Kinesis/006 Create IAM Group and User.mp4 49MB 11 Data Ingestion using Lambda Functions/013 Review the incremental upload logic.mp4 48MB 12 Streaming Pipeline using Kinesis/004 Create Kinesis Firehose Delivery Stream.mp4 48MB 11 Data Ingestion using Lambda Functions/002 Setup Project for local development.mp4 47MB 06 Overview of Glue Components/006 Validate using Glue CatalogTable and Athena.mp4 46MB 09 Exploring Glue Job APIs/006 Validating using Athena.mp4 46MB 14 Populating GitHub Data to Dynamodb/011 Populate Dynamodb Table.mp4 46MB 14 Populating GitHub Data to Dynamodb/012 Dynamodb Batch Operations.mp4 46MB 14 Populating GitHub Data to Dynamodb/009 Create Dynamodb Tables.mp4 46MB 06 Overview of Glue Components/008 Create Glue Workflow.mp4 45MB 08 Deep Dive into Glue Catalog/008 Crawling Multiple Folders.mp4 45MB 05 Development Lifecycle for Pyspark/010 Write data to files.mp4 45MB 11 Data Ingestion using Lambda Functions/005 Using 3rd party libraries in AWS Lambda.mp4 45MB 14 Populating GitHub Data to Dynamodb/006 Extracting Required Information.mp4 45MB 05 Development Lifecycle for Pyspark/009 Process data using Spark APIs.mp4 44MB 06 Overview of Glue Components/009 Run Glue Workflow and Validate.mp4 43MB 14 Populating GitHub Data to Dynamodb/002 Understanding GitHub APIs.mp4 43MB 13 Consuming Data from s3 using boto3/007 Read multiple s3 Objects.mp4 43MB 03 Setup Environment for Practice using Cloud9/008 Setup Jupyter lab on Cloud9 Instance.mp4 42MB 13 Consuming Data from s3 using boto3/001 Customizing s3 folder using Kinesis Delivery Stream.mp4 42MB 07 Setup Spark History Server for Glue Jobs/006 Start Glue Spark UI Container.mp4 42MB 05 Development Lifecycle for Pyspark/006 Create Function for Spark Session.mp4 41MB 13 Consuming Data from s3 using boto3/008 Get number of s3 Objects using Marker.mp4 41MB 10 Glue Job Bookmarks/005 Validate Bookmark using AWS CLI.mp4 40MB 06 Overview of Glue Components/002 Create Crawler and Catalog Table.mp4 40MB 08 Deep Dive into Glue Catalog/003 Download Data Set.mp4 38MB 05 Development Lifecycle for Pyspark/001 Setup Virtual Environment and Install Pyspark.mp4 38MB 10 Glue Job Bookmarks/009 Recrawl the Clue Catalog Table using CLI.mp4 38MB 11 Data Ingestion using Lambda Functions/015 Schedule Lambda Function using AWS Event Bridge.mp4 36MB 12 Streaming Pipeline using Kinesis/008 Configure Kinesis Firehose Agent.mp4 36MB 13 Consuming Data from s3 using boto3/005 Validating access to s3 using Python boto3.mp4 36MB 11 Data Ingestion using Lambda Functions/009 Run using AWS Lambda Console.mp4 36MB 12 Streaming Pipeline using Kinesis/007 Granting Permissions to IAM User using Policy.mp4 34MB 10 Glue Job Bookmarks/010 Run Athena Queries for Data Validation.mp4 34MB 08 Deep Dive into Glue Catalog/007 Running Queries using Athena - ghactivity.mp4 33MB 13 Consuming Data from s3 using boto3/002 Create Policy to read from s3 Bucket.mp4 33MB 01 Introduction to the course/001 Introduction to Data Engineering using AWS Analytics Services.mp4 32MB 09 Exploring Glue Job APIs/004 Glue Script for Partitioning Data.mp4 31MB 04 AWS Getting Started/009 Configure and Validate AWS CLI.mp4 30MB 05 Development Lifecycle for Pyspark/003 Passing Run Time Arguments.mp4 30MB 05 Development Lifecycle for Pyspark/002 Getting Started with Pycharm.mp4 30MB 13 Consuming Data from s3 using boto3/009 Get size of s3 Objects using Marker.mp4 30MB 13 Consuming Data from s3 using boto3/003 Validate s3 access using AWS CLI.mp4 30MB 04 AWS Getting Started/007 Create and Attach Custom Policy.mp4 30MB 14 Populating GitHub Data to Dynamodb/003 Setting up GitHub API Token.mp4 30MB 08 Deep Dive into Glue Catalog/006 Create Glue Catalog Table - ghactivity.mp4 29MB 07 Setup Spark History Server for Glue Jobs/005 Update IAM Policy Permissions.mp4 29MB 03 Setup Environment for Practice using Cloud9/006 Associating Elastic IPs to Cloud9 Instance.mp4 29MB 06 Overview of Glue Components/004 Creating S3 Bucket and Role.mp4 28MB 03 Setup Environment for Practice using Cloud9/002 Creating Cloud9 Environment.mp4 28MB 09 Exploring Glue Job APIs/002 Generate baseline Glue Job.mp4 28MB 04 AWS Getting Started/005 Create IAM Group and User.mp4 27MB 11 Data Ingestion using Lambda Functions/003 Deploy Project to AWS Lambda console.mp4 26MB 05 Development Lifecycle for Pyspark/012 Productionizing the Code.mp4 25MB 04 AWS Getting Started/001 Introduction - AWS Getting Started.mp4 25MB 04 AWS Getting Started/003 Create s3 Bucket.mp4 25MB 10 Glue Job Bookmarks/007 Rerun Glue Job using Bookmark.mp4 25MB 02 Setup Local Environment for Practice/009 Install AWS CLI.mp4 25MB 06 Overview of Glue Components/007 Create and Run Glue Trigger.mp4 25MB 11 Data Ingestion using Lambda Functions/001 Hello World using AWS Lambda.mp4 24MB 10 Glue Job Bookmarks/003 Overview of AWS Glue CLI.mp4 24MB 05 Development Lifecycle for Pyspark/004 Accessing OS Environment Variables.mp4 24MB 11 Data Ingestion using Lambda Functions/008 Validating using AWS Lambda Console.mp4 24MB 12 Streaming Pipeline using Kinesis/005 Planning the Pipeline.mp4 23MB 10 Glue Job Bookmarks/004 Run Job using Bookmark.mp4 22MB 10 Glue Job Bookmarks/008 Validate Job Bookmark and Files for Incremental run.mp4 21MB 14 Populating GitHub Data to Dynamodb/001 Install required libraries.mp4 20MB 10 Glue Job Bookmarks/006 Add new data to landing.mp4 20MB 14 Populating GitHub Data to Dynamodb/005 Create New Repository for since.mp4 20MB 03 Setup Environment for Practice using Cloud9/001 Getting Started with Cloud9.mp4 20MB 05 Development Lifecycle for Pyspark/005 Getting Started with Spark.mp4 19MB 14 Populating GitHub Data to Dynamodb/008 Grant Permissions to create dynamodb tables using boto3.mp4 19MB 05 Development Lifecycle for Pyspark/007 Setup Sample Data.mp4 19MB 03 Setup Environment for Practice using Cloud9/005 Opening ports for Cloud9 Instance.mp4 18MB 03 Setup Environment for Practice using Cloud9/007 Increase EBS Volume Size of Cloud9 Instance.mp4 18MB 13 Consuming Data from s3 using boto3/004 Setup Python Virtual Environment to explore boto3.mp4 17MB 03 Setup Environment for Practice using Cloud9/003 Warming up with Cloud9 IDE.mp4 17MB 02 Setup Local Environment for Practice/001 Setup Jupyter Lab using Docker.mp4 16MB 12 Streaming Pipeline using Kinesis/001 Building Streaming Pipeline using Kinesis.mp4 15MB 06 Overview of Glue Components/001 Introduction - Overview of Glue Components.mp4 15MB 04 AWS Getting Started/006 Overview of Roles.mp4 15MB 07 Setup Spark History Server for Glue Jobs/003 Clone AWS Glue Samples repository.mp4 14MB 09 Exploring Glue Job APIs/001 Update IAM Role for Glue Job.mp4 14MB 12 Streaming Pipeline using Kinesis/010 Conclusion - Building Simple Steaming Pipeline.mp4 13MB 14 Populating GitHub Data to Dynamodb/004 Understanding GitHub Rate Limit.mp4 13MB 07 Setup Spark History Server for Glue Jobs/001 Introduction - Spark History Server for Glue.mp4 11MB 10 Glue Job Bookmarks/002 Cleaning up the data.mp4 11MB 02 Setup Local Environment for Practice/007 Running Shell Commands.mp4 10MB 08 Deep Dive into Glue Catalog/002 Steps for Creating Catalog Tables.mp4 10MB 06 Overview of Glue Components/003 Analyze Data using Athena.mp4 10MB 02 Setup Local Environment for Practice/005 Install Python boto3.mp4 10MB 03 Setup Environment for Practice using Cloud9/004 Overview of EC2 related to Cloud9.mp4 9MB 07 Setup Spark History Server for Glue Jobs/004 Build Glue Spark UI Container.mp4 8MB 02 Setup Local Environment for Practice/003 Understanding Jupyter Lab Environment.mp4 8MB 08 Deep Dive into Glue Catalog/005 Create Glue Catalog Database - itvghlandingdb.mp4 7MB 10 Glue Job Bookmarks/001 Introduction to Glue Job Boomarks.mp4 7MB 08 Deep Dive into Glue Catalog/001 Prerequisites for Glue Catalog Tables.mp4 4MB 08 Deep Dive into Glue Catalog/009 Managing Glue Catalog using Python Boto3.en.srt 19KB 11 Data Ingestion using Lambda Functions/014 Deploying lambda function.en.srt 18KB 12 Streaming Pipeline using Kinesis/002 Rotating Logs.en.srt 16KB 12 Streaming Pipeline using Kinesis/009 Start and Validate Agent.en.srt 16KB 09 Exploring Glue Job APIs/003 Running baseline Glue Job.en.srt 16KB 14 Populating GitHub Data to Dynamodb/007 Processing Data.en.srt 15KB 06 Overview of Glue Components/005 Create and Run the Glue Job.en.srt 14KB 11 Data Ingestion using Lambda Functions/006 Validating s3 access for local development.en.srt 14KB 11 Data Ingestion using Lambda Functions/007 Develop upload functionality to s3.en.srt 14KB 11 Data Ingestion using Lambda Functions/010 Validating files incrementally.en.srt 13KB 14 Populating GitHub Data to Dynamodb/010 Dynamodb CRUD Operations.en.srt 13KB 11 Data Ingestion using Lambda Functions/012 Maintaining Bookmark using s3.en.srt 13KB 05 Development Lifecycle for Pyspark/008 Read data from files.en.srt 13KB 13 Consuming Data from s3 using boto3/006 Read Content from s3 object.en.srt 13KB 07 Setup Spark History Server for Glue Jobs/002 Setup Spark History Server on AWS.en.srt 12KB 12 Streaming Pipeline using Kinesis/004 Create Kinesis Firehose Delivery Stream.en.srt 12KB 03 Setup Environment for Practice using Cloud9/008 Setup Jupyter lab on Cloud9 Instance.en.srt 12KB 12 Streaming Pipeline using Kinesis/006 Create IAM Group and User.en.srt 12KB 11 Data Ingestion using Lambda Functions/011 Reading and Writing Bookmark using s3.en.srt 11KB 11 Data Ingestion using Lambda Functions/004 Develop download functionality using requests.en.srt 11KB 05 Development Lifecycle for Pyspark/010 Write data to files.en.srt 11KB 14 Populating GitHub Data to Dynamodb/009 Create Dynamodb Tables.en.srt 11KB 06 Overview of Glue Components/006 Validate using Glue CatalogTable and Athena.en.srt 11KB 06 Overview of Glue Components/002 Create Crawler and Catalog Table.en.srt 11KB 05 Development Lifecycle for Pyspark/011 Validating Writing Data to Files.en.srt 11KB 08 Deep Dive into Glue Catalog/008 Crawling Multiple Folders.en.srt 11KB 14 Populating GitHub Data to Dynamodb/012 Dynamodb Batch Operations.en.srt 10KB 06 Overview of Glue Components/008 Create Glue Workflow.en.srt 10KB 13 Consuming Data from s3 using boto3/007 Read multiple s3 Objects.en.srt 10KB 13 Consuming Data from s3 using boto3/008 Get number of s3 Objects using Marker.en.srt 10KB 11 Data Ingestion using Lambda Functions/013 Review the incremental upload logic.en.srt 10KB 14 Populating GitHub Data to Dynamodb/006 Extracting Required Information.en.srt 10KB 08 Deep Dive into Glue Catalog/004 Upload data to s3.en.srt 10KB 09 Exploring Glue Job APIs/006 Validating using Athena.en.srt 10KB 05 Development Lifecycle for Pyspark/009 Process data using Spark APIs.en.srt 10KB 11 Data Ingestion using Lambda Functions/002 Setup Project for local development.en.srt 9KB 07 Setup Spark History Server for Glue Jobs/006 Start Glue Spark UI Container.en.srt 9KB 11 Data Ingestion using Lambda Functions/005 Using 3rd party libraries in AWS Lambda.en.srt 9KB 02 Setup Local Environment for Practice/001 Setup Jupyter Lab using Docker.en.srt 9KB 06 Overview of Glue Components/009 Run Glue Workflow and Validate.en.srt 9KB 12 Streaming Pipeline using Kinesis/003 Setup Kinesis Firehose Agent.en.srt 9KB 05 Development Lifecycle for Pyspark/003 Passing Run Time Arguments.en.srt 9KB 12 Streaming Pipeline using Kinesis/008 Configure Kinesis Firehose Agent.en.srt 9KB 01 Introduction to the course/001 Introduction to Data Engineering using AWS Analytics Services.en.srt 9KB 13 Consuming Data from s3 using boto3/001 Customizing s3 folder using Kinesis Delivery Stream.en.srt 9KB 10 Glue Job Bookmarks/005 Validate Bookmark using AWS CLI.en.srt 8KB 14 Populating GitHub Data to Dynamodb/011 Populate Dynamodb Table.en.srt 8KB 08 Deep Dive into Glue Catalog/006 Create Glue Catalog Table - ghactivity.en.srt 8KB 11 Data Ingestion using Lambda Functions/015 Schedule Lambda Function using AWS Event Bridge.en.srt 8KB 05 Development Lifecycle for Pyspark/006 Create Function for Spark Session.en.srt 8KB 10 Glue Job Bookmarks/009 Recrawl the Clue Catalog Table using CLI.en.srt 8KB 09 Exploring Glue Job APIs/002 Generate baseline Glue Job.en.srt 8KB 12 Streaming Pipeline using Kinesis/007 Granting Permissions to IAM User using Policy.en.srt 8KB 14 Populating GitHub Data to Dynamodb/002 Understanding GitHub APIs.en.srt 8KB 03 Setup Environment for Practice using Cloud9/002 Creating Cloud9 Environment.en.srt 8KB 05 Development Lifecycle for Pyspark/002 Getting Started with Pycharm.en.srt 8KB 04 AWS Getting Started/005 Create IAM Group and User.en.srt 8KB 04 AWS Getting Started/009 Configure and Validate AWS CLI.en.srt 8KB 05 Development Lifecycle for Pyspark/001 Setup Virtual Environment and Install Pyspark.en.srt 8KB 04 AWS Getting Started/007 Create and Attach Custom Policy.en.srt 7KB 05 Development Lifecycle for Pyspark/012 Productionizing the Code.en.srt 7KB 11 Data Ingestion using Lambda Functions/001 Hello World using AWS Lambda.en.srt 7KB 13 Consuming Data from s3 using boto3/005 Validating access to s3 using Python boto3.en.srt 7KB 07 Setup Spark History Server for Glue Jobs/005 Update IAM Policy Permissions.en.srt 7KB 08 Deep Dive into Glue Catalog/003 Download Data Set.en.srt 7KB 03 Setup Environment for Practice using Cloud9/006 Associating Elastic IPs to Cloud9 Instance.en.srt 7KB 05 Development Lifecycle for Pyspark/004 Accessing OS Environment Variables.en.srt 7KB 06 Overview of Glue Components/004 Creating S3 Bucket and Role.en.srt 7KB 13 Consuming Data from s3 using boto3/009 Get size of s3 Objects using Marker.en.srt 7KB 09 Exploring Glue Job APIs/004 Glue Script for Partitioning Data.en.srt 7KB 11 Data Ingestion using Lambda Functions/009 Run using AWS Lambda Console.en.srt 7KB 13 Consuming Data from s3 using boto3/002 Create Policy to read from s3 Bucket.en.srt 7KB 13 Consuming Data from s3 using boto3/003 Validate s3 access using AWS CLI.en.srt 7KB 08 Deep Dive into Glue Catalog/007 Running Queries using Athena - ghactivity.en.srt 7KB 06 Overview of Glue Components/003 Analyze Data using Athena.en.srt 7KB 02 Setup Local Environment for Practice/009 Install AWS CLI.en.srt 7KB 06 Overview of Glue Components/007 Create and Run Glue Trigger.en.srt 7KB 10 Glue Job Bookmarks/010 Run Athena Queries for Data Validation.en.srt 6KB 11 Data Ingestion using Lambda Functions/003 Deploy Project to AWS Lambda console.en.srt 6KB 04 AWS Getting Started/001 Introduction - AWS Getting Started.en.srt 6KB 04 AWS Getting Started/003 Create s3 Bucket.en.srt 6KB 03 Setup Environment for Practice using Cloud9/003 Warming up with Cloud9 IDE.en.srt 6KB 10 Glue Job Bookmarks/003 Overview of AWS Glue CLI.en.srt 6KB 03 Setup Environment for Practice using Cloud9/007 Increase EBS Volume Size of Cloud9 Instance.en.srt 6KB 14 Populating GitHub Data to Dynamodb/003 Setting up GitHub API Token.en.srt 5KB 12 Streaming Pipeline using Kinesis/005 Planning the Pipeline.en.srt 5KB 03 Setup Environment for Practice using Cloud9/005 Opening ports for Cloud9 Instance.en.srt 5KB 10 Glue Job Bookmarks/007 Rerun Glue Job using Bookmark.en.srt 5KB 13 Consuming Data from s3 using boto3/004 Setup Python Virtual Environment to explore boto3.en.srt 5KB 03 Setup Environment for Practice using Cloud9/001 Getting Started with Cloud9.en.srt 5KB 14 Populating GitHub Data to Dynamodb/008 Grant Permissions to create dynamodb tables using boto3.en.srt 5KB 06 Overview of Glue Components/001 Introduction - Overview of Glue Components.en.srt 5KB 12 Streaming Pipeline using Kinesis/001 Building Streaming Pipeline using Kinesis.en.srt 4KB 11 Data Ingestion using Lambda Functions/008 Validating using AWS Lambda Console.en.srt 4KB 10 Glue Job Bookmarks/004 Run Job using Bookmark.en.srt 4KB 05 Development Lifecycle for Pyspark/005 Getting Started with Spark.en.srt 4KB 05 Development Lifecycle for Pyspark/007 Setup Sample Data.en.srt 4KB 10 Glue Job Bookmarks/006 Add new data to landing.en.srt 4KB 04 AWS Getting Started/006 Overview of Roles.en.srt 4KB 09 Exploring Glue Job APIs/001 Update IAM Role for Glue Job.en.srt 4KB 14 Populating GitHub Data to Dynamodb/005 Create New Repository for since.en.srt 3KB 09 Exploring Glue Job APIs/005 [Instructions and Code] Glue Script for Partitioning Data.html 3KB 10 Glue Job Bookmarks/008 Validate Job Bookmark and Files for Incremental run.en.srt 3KB 14 Populating GitHub Data to Dynamodb/001 Install required libraries.en.srt 3KB 10 Glue Job Bookmarks/002 Cleaning up the data.en.srt 3KB 07 Setup Spark History Server for Glue Jobs/003 Clone AWS Glue Samples repository.en.srt 3KB 07 Setup Spark History Server for Glue Jobs/001 Introduction - Spark History Server for Glue.en.srt 3KB 03 Setup Environment for Practice using Cloud9/004 Overview of EC2 related to Cloud9.en.srt 3KB 02 Setup Local Environment for Practice/005 Install Python boto3.en.srt 3KB 14 Populating GitHub Data to Dynamodb/004 Understanding GitHub Rate Limit.en.srt 3KB 02 Setup Local Environment for Practice/007 Running Shell Commands.en.srt 3KB 02 Setup Local Environment for Practice/003 Understanding Jupyter Lab Environment.en.srt 2KB 08 Deep Dive into Glue Catalog/002 Steps for Creating Catalog Tables.en.srt 2KB 04 AWS Getting Started/008 [Instructions and Code] Create and Attach Custom Policy.html 2KB 02 Setup Local Environment for Practice/002 [Instructions and Code] Setup Jupyter Lab using Docker.html 2KB 04 AWS Getting Started/004 [Instructions] Create s3 Bucket.html 2KB 08 Deep Dive into Glue Catalog/005 Create Glue Catalog Database - itvghlandingdb.en.srt 2KB 08 Deep Dive into Glue Catalog/001 Prerequisites for Glue Catalog Tables.en.srt 2KB 10 Glue Job Bookmarks/001 Introduction to Glue Job Boomarks.en.srt 2KB 04 AWS Getting Started/010 [Instructions and Code] Configure and Validate AWS CLI.html 2KB 12 Streaming Pipeline using Kinesis/010 Conclusion - Building Simple Steaming Pipeline.en.srt 2KB 07 Setup Spark History Server for Glue Jobs/004 Build Glue Spark UI Container.en.srt 2KB 04 AWS Getting Started/002 [Instructions] Introduction - AWS Getting Started.html 2KB 02 Setup Local Environment for Practice/004 [Instructions] Understanding Jupyter Lab Environment.html 2KB 02 Setup Local Environment for Practice/010 [Instructions and Code] Install AWS CLI.html 1KB 02 Setup Local Environment for Practice/006 [Instructions and Code] Install Python boto3.html 1KB 02 Setup Local Environment for Practice/008 [Instructions] Running Shell Commands.html 1KB 0. 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