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[GigaCourse.Com] Udemy - Data Engineering using AWS Analytics Services

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种子名称: [GigaCourse.Com] Udemy - Data Engineering using AWS Analytics Services
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文件数目: 201个文件
文件大小: 6.75 GB
收录时间: 2022-10-15 19:46
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最近下载: 2024-6-3 01:10

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[GigaCourse.Com] Udemy - Data Engineering using AWS Analytics Services.torrent
  • 1. Introduction to the course/1. Introduction to Data Engineering using AWS Analytics Services.mp432.14MB
  • 10. Development Lifecycle for Pyspark/1. Setup Virtual Environment and Install Pyspark.mp437.84MB
  • 10. Development Lifecycle for Pyspark/10. Write data to files.mp444.69MB
  • 10. Development Lifecycle for Pyspark/11. Validating Writing Data to Files.mp450.56MB
  • 10. Development Lifecycle for Pyspark/12. Productionizing the Code.mp425.49MB
  • 10. Development Lifecycle for Pyspark/2. Getting Started with Pycharm.mp429.71MB
  • 10. Development Lifecycle for Pyspark/3. Passing Run Time Arguments.mp429.89MB
  • 10. Development Lifecycle for Pyspark/4. Accessing OS Environment Variables.mp423.89MB
  • 10. Development Lifecycle for Pyspark/5. Getting Started with Spark.mp418.75MB
  • 10. Development Lifecycle for Pyspark/6. Create Function for Spark Session.mp441.27MB
  • 10. Development Lifecycle for Pyspark/7. Setup Sample Data.mp418.55MB
  • 10. Development Lifecycle for Pyspark/8. Read data from files.mp463.59MB
  • 10. Development Lifecycle for Pyspark/9. Process data using Spark APIs.mp443.63MB
  • 11. Overview of Glue Components/1. Introduction - Overview of Glue Components.mp415.07MB
  • 11. Overview of Glue Components/11. Validate using Glue CatalogTable and Athena.mp446.31MB
  • 11. Overview of Glue Components/13. Create and Run Glue Trigger.mp424.58MB
  • 11. Overview of Glue Components/15. Create Glue Workflow.mp445.06MB
  • 11. Overview of Glue Components/17. Run Glue Workflow and Validate.mp443.35MB
  • 11. Overview of Glue Components/3. Create Crawler and Catalog Table.mp440.09MB
  • 11. Overview of Glue Components/5. Analyze Data using Athena.mp424.4MB
  • 11. Overview of Glue Components/7. Creating S3 Bucket and Role.mp428.48MB
  • 11. Overview of Glue Components/9. Create and Run the Glue Job.mp473.15MB
  • 12. Setup Spark History Server for Glue Jobs/1. Introduction - Spark History Server for Glue.mp411.45MB
  • 12. Setup Spark History Server for Glue Jobs/2. Setup Spark History Server on AWS.mp453.44MB
  • 12. Setup Spark History Server for Glue Jobs/3. Clone AWS Glue Samples repository.mp414.49MB
  • 12. Setup Spark History Server for Glue Jobs/5. Build Glue Spark UI Container.mp48.47MB
  • 12. Setup Spark History Server for Glue Jobs/7. Update IAM Policy Permissions.mp428.84MB
  • 12. Setup Spark History Server for Glue Jobs/8. Start Glue Spark UI Container.mp441.84MB
  • 13. Deep Dive into Glue Catalog/1. Prerequisites for Glue Catalog Tables.mp44.36MB
  • 13. Deep Dive into Glue Catalog/11. Create Glue Catalog Table - ghactivity.mp429.41MB
  • 13. Deep Dive into Glue Catalog/13. Running Queries using Athena - ghactivity.mp433.47MB
  • 13. Deep Dive into Glue Catalog/15. Crawling Multiple Folders.mp444.87MB
  • 13. Deep Dive into Glue Catalog/17. Managing Glue Catalog using Python Boto3.mp491.79MB
  • 13. Deep Dive into Glue Catalog/3. Steps for Creating Catalog Tables.mp410.1MB
  • 13. Deep Dive into Glue Catalog/5. Download Data Set.mp438.14MB
  • 13. Deep Dive into Glue Catalog/7. Upload data to s3.mp458.83MB
  • 13. Deep Dive into Glue Catalog/9. Create Glue Catalog Database - itvghlandingdb.mp47.35MB
  • 14. Exploring Glue Job APIs/1. Update IAM Role for Glue Job.mp413.65MB
  • 14. Exploring Glue Job APIs/3. Generate baseline Glue Job.mp427.71MB
  • 14. Exploring Glue Job APIs/5. Running baseline Glue Job.mp476.12MB
  • 14. Exploring Glue Job APIs/7. Glue Script for Partitioning Data.mp431.48MB
  • 14. Exploring Glue Job APIs/9. Validating using Athena.mp445.81MB
  • 15. Glue Job Bookmarks/1. Introduction to Glue Job Boomarks.mp47.32MB
  • 15. Glue Job Bookmarks/10. Add new data to landing.mp419.99MB
  • 15. Glue Job Bookmarks/12. Rerun Glue Job using Bookmark.mp425.15MB
  • 15. Glue Job Bookmarks/14. Validate Job Bookmark and Files for Incremental run.mp420.61MB
  • 15. Glue Job Bookmarks/16. Recrawl the Clue Catalog Table using CLI.mp437.61MB
  • 15. Glue Job Bookmarks/18. Run Athena Queries for Data Validation.mp433.94MB
  • 15. Glue Job Bookmarks/2. Cleaning up the data.mp410.81MB
  • 15. Glue Job Bookmarks/4. Overview of AWS Glue CLI.mp424.42MB
  • 15. Glue Job Bookmarks/6. Run Job using Bookmark.mp422.38MB
  • 15. Glue Job Bookmarks/8. Validate Bookmark using AWS CLI.mp440.31MB
  • 16. Getting Started with AWS EMR/1. Planning of EMR Cluster.mp46.63MB
  • 16. Getting Started with AWS EMR/10. Review EMR Cluster Steps.mp48.11MB
  • 16. Getting Started with AWS EMR/11. Review EMR Cluster Bootstrap Actions.mp412.67MB
  • 16. Getting Started with AWS EMR/12. Connecting to EMR Master Node using SSH.mp416.05MB
  • 16. Getting Started with AWS EMR/13. Disabling Termination Protection and Terminating the Cluster.mp49.58MB
  • 16. Getting Started with AWS EMR/14. Clone and Create New Cluster.mp424.53MB
  • 16. Getting Started with AWS EMR/15. Listing AWS S3 Buckets and Objects using AWS CLI on EMR Cluster.mp424.13MB
  • 16. Getting Started with AWS EMR/16. Listing AWS S3 Buckets and Objects using HDFS CLI on EMR Cluster.mp428.83MB
  • 16. Getting Started with AWS EMR/17. Managing Files in AWS s3 using HDFS CLI on EMR Cluster.mp447.13MB
  • 16. Getting Started with AWS EMR/2. Create EC2 Key Pair.mp428.51MB
  • 16. Getting Started with AWS EMR/3. Setup EMR Cluster with Spark.mp438.13MB
  • 16. Getting Started with AWS EMR/4. Understanding Summary of AWS EMR Cluster.mp421.43MB
  • 16. Getting Started with AWS EMR/5. Review EMR Cluster Application User Interfaces.mp419.84MB
  • 16. Getting Started with AWS EMR/6. Review EMR Cluster Monitoring07 Review EMR Cluster Monitoring.mp410.09MB
  • 16. Getting Started with AWS EMR/7. Review EMR Cluster Hardware and Cluster Scaling Policy.mp49.09MB
  • 16. Getting Started with AWS EMR/8. Review EMR Cluster Configurations.mp413.92MB
  • 16. Getting Started with AWS EMR/9. Review EMR Cluster Events.mp420.65MB
  • 17. Streaming Pipeline using Kinesis/1. Building Streaming Pipeline using Kinesis.mp415.49MB
  • 17. Streaming Pipeline using Kinesis/10. Conclusion - Building Simple Steaming Pipeline.mp413.34MB
  • 17. Streaming Pipeline using Kinesis/2. Rotating Logs.mp486.49MB
  • 17. Streaming Pipeline using Kinesis/3. Setup Kinesis Firehose Agent.mp452.98MB
  • 17. Streaming Pipeline using Kinesis/4. Create Kinesis Firehose Delivery Stream.mp447.58MB
  • 17. Streaming Pipeline using Kinesis/5. Planning the Pipeline.mp423.09MB
  • 17. Streaming Pipeline using Kinesis/6. Create IAM Group and User.mp449.31MB
  • 17. Streaming Pipeline using Kinesis/7. Granting Permissions to IAM User using Policy.mp434.29MB
  • 17. Streaming Pipeline using Kinesis/8. Configure Kinesis Firehose Agent.mp436.13MB
  • 17. Streaming Pipeline using Kinesis/9. Start and Validate Agent.mp498.39MB
  • 18. Consuming Data from s3 using boto3/1. Customizing s3 folder using Kinesis Delivery Stream.mp442.02MB
  • 18. Consuming Data from s3 using boto3/2. Create Policy to read from s3 Bucket.mp433.16MB
  • 18. Consuming Data from s3 using boto3/3. Validate s3 access using AWS CLI.mp429.63MB
  • 18. Consuming Data from s3 using boto3/4. Setup Python Virtual Environment to explore boto3.mp417.38MB
  • 18. Consuming Data from s3 using boto3/5. Validating access to s3 using Python boto3.mp435.88MB
  • 18. Consuming Data from s3 using boto3/6. Read Content from s3 object.mp466.62MB
  • 18. Consuming Data from s3 using boto3/7. Read multiple s3 Objects.mp442.87MB
  • 18. Consuming Data from s3 using boto3/8. Get number of s3 Objects using Marker.mp440.64MB
  • 18. Consuming Data from s3 using boto3/9. Get size of s3 Objects using Marker.mp429.69MB
  • 19. Populating GitHub Data to Dynamodb/1. Install required libraries.mp420.39MB
  • 19. Populating GitHub Data to Dynamodb/10. Dynamodb CRUD Operations.mp454.09MB
  • 19. Populating GitHub Data to Dynamodb/11. Populate Dynamodb Table.mp445.8MB
  • 19. Populating GitHub Data to Dynamodb/12. Dynamodb Batch Operations.mp445.77MB
  • 19. Populating GitHub Data to Dynamodb/2. Understanding GitHub APIs.mp443MB
  • 19. Populating GitHub Data to Dynamodb/3. Setting up GitHub API Token.mp429.53MB
  • 19. Populating GitHub Data to Dynamodb/4. Understanding GitHub Rate Limit.mp413.12MB
  • 19. Populating GitHub Data to Dynamodb/5. Create New Repository for since.mp419.81MB
  • 19. Populating GitHub Data to Dynamodb/6. Extracting Required Information.mp444.57MB
  • 19. Populating GitHub Data to Dynamodb/7. Processing Data.mp468.45MB
  • 19. Populating GitHub Data to Dynamodb/8. Grant Permissions to create dynamodb tables using boto3.mp418.67MB
  • 19. Populating GitHub Data to Dynamodb/9. Create Dynamodb Tables.mp445.76MB
  • 2. Setup Local Environment for Practice/1. Setup Jupyter Lab using Docker.mp433.7MB
  • 2. Setup Local Environment for Practice/3. Understanding Jupyter Lab Environment.mp47.92MB
  • 2. Setup Local Environment for Practice/5. Install Python boto3.mp49.82MB
  • 2. Setup Local Environment for Practice/7. Running Shell Commands.mp410.22MB
  • 2. Setup Local Environment for Practice/9. Install AWS CLI.mp424.8MB
  • 20. Overview of Amazon Athena/1. Getting Started with Amazon Athena.mp423.45MB
  • 20. Overview of Amazon Athena/10. Develop Query for Partitioned Column.mp440.57MB
  • 20. Overview of Amazon Athena/11. Insert into Partitioned Tables using Athena.mp413.28MB
  • 20. Overview of Amazon Athena/12. Validate Data Partitioning using Athena.mp425.21MB
  • 20. Overview of Amazon Athena/13. Drop Athena Tables and Delete Data Files.mp430.08MB
  • 20. Overview of Amazon Athena/14. Drop Partitioned Table using Athena.mp414.08MB
  • 20. Overview of Amazon Athena/15. Data Partitioning in Athena using CTAS.mp438.7MB
  • 20. Overview of Amazon Athena/2. Quick Recap of Glue Catalog Databases and Tables.mp417.33MB
  • 20. Overview of Amazon Athena/3. Access Glue Catalog Databases and Tables using Athena Query Editor.mp418.43MB
  • 20. Overview of Amazon Athena/4. Create Database and Table using Athena.mp430.2MB
  • 20. Overview of Amazon Athena/5. Populate Data into Table using Athena.mp428.03MB
  • 20. Overview of Amazon Athena/6. Using CTAS to create tables using Athena.mp455.17MB
  • 20. Overview of Amazon Athena/7. Overview of Amazon Athena Architecture.mp430.39MB
  • 20. Overview of Amazon Athena/8. Amazon Athena Resources and relationship with Hive.mp422.25MB
  • 20. Overview of Amazon Athena/9. Create Partitioned Table using Athena.mp425.69MB
  • 21. Amazon Athena using AWS CLI/1. Amazon Athena using AWS CLI - Introduction.mp43.69MB
  • 21. Amazon Athena using AWS CLI/10. Run Athena Queries with custom location using AWS CLI.mp445.3MB
  • 21. Amazon Athena using AWS CLI/12. Drop Athena table using AWS CLI.mp423.12MB
  • 21. Amazon Athena using AWS CLI/14. Run CTAS under Athena using AWS CLI.mp429.57MB
  • 21. Amazon Athena using AWS CLI/2. Get help and list Athena databases using AWS CLI.mp410.45MB
  • 21. Amazon Athena using AWS CLI/4. Managing Athena Workgroups using AWS CLI.mp437.71MB
  • 21. Amazon Athena using AWS CLI/6. Run Athena Queries using AWS CLI.mp430.58MB
  • 21. Amazon Athena using AWS CLI/8. Get Athena Table Metadata using AWS CLI.mp418.01MB
  • 22. Amazon Athena using Python boto3/1. Amazon Athena using Python boto3 - Introduction.mp47.82MB
  • 22. Amazon Athena using Python boto3/10. Review Athena Query Results using boto3.mp452.29MB
  • 22. Amazon Athena using Python boto3/2. Getting Started with Managing Athena using Python boto3.mp446.53MB
  • 22. Amazon Athena using Python boto3/4. List Amazon Athena Databases using Python boto3.mp431.83MB
  • 22. Amazon Athena using Python boto3/6. List Amazon Athena Tables using Python boto3.mp459.67MB
  • 22. Amazon Athena using Python boto3/8. Run Amazon Athena Queries using Python boto3.mp444.66MB
  • 3. Setup Environment for Practice using Cloud9/1. Introduction to Cloud9.mp43.84MB
  • 3. Setup Environment for Practice using Cloud9/10. Opening ports for Cloud9 Instance.mp418.35MB
  • 3. Setup Environment for Practice using Cloud9/11. Setup Jupyter lab on Cloud9 Instance.mp442.17MB
  • 3. Setup Environment for Practice using Cloud9/12. Open SSH Port for Cloud9 EC2 Instance.mp416.85MB
  • 3. Setup Environment for Practice using Cloud9/13. Connect to Cloud9 EC2 Instance using SSH.mp439.85MB
  • 3. Setup Environment for Practice using Cloud9/2. Setup Cloud9.mp436.96MB
  • 3. Setup Environment for Practice using Cloud9/3. Overview of Cloud9 IDE.mp431.48MB
  • 3. Setup Environment for Practice using Cloud9/4. Docker and AWS CLI on Cloud9.mp423.12MB
  • 3. Setup Environment for Practice using Cloud9/5. Cloud9 and EC2.mp421.17MB
  • 3. Setup Environment for Practice using Cloud9/6. Accessing Web Applications.mp427.03MB
  • 3. Setup Environment for Practice using Cloud9/7. Allocate and Assign Static IP.mp427.65MB
  • 3. Setup Environment for Practice using Cloud9/8. Changing Permissions using IAM Policies.mp423.53MB
  • 3. Setup Environment for Practice using Cloud9/9. Increasing Size of EBS Volume.mp416.15MB
  • 4. AWS Getting Started/1. Introduction - AWS Getting Started.mp425.28MB
  • 4. AWS Getting Started/11. Configure and Validate AWS CLI.mp430.1MB
  • 4. AWS Getting Started/3. Create s3 Bucket.mp425.27MB
  • 4. AWS Getting Started/5. Create IAM Group and User.mp427.17MB
  • 4. AWS Getting Started/7. Overview of Roles.mp415MB
  • 4. AWS Getting Started/9. Create and Attach Custom Policy.mp429.62MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/1. Getting Started with S3.mp420.57MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/11. Overview of S3 Storage Classes.mp448.95MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/13. Overview of Glacier.mp426.71MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/15. Managing S3 using AWS CLI.mp436.59MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/17. Managing Objects in S3 using CLI - Lab.mp497.46MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/3. Setup Data Set locally.mp415.95MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/5. Adding S3 Buckets and Objects.mp442.01MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/7. Version Control in S3.mp436.72MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/9. Cross-Region Replication.mp463.39MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/1. Creating IAM Users.mp437.36MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/11. Managing IAM Roles.mp466.46MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/13. Overview of Custom Policies.mp468.05MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/15. Managing IAM using AWS CLI.mp455.52MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/3. Logging into AWS Management Console using IAM User.mp414.77MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/5. Validate Programmatic Access to IAM User.mp413.06MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/7. IAM Identity-based Policies.mp465.07MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/9. Managing IAM Groups.mp444.26MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/1. Getting Started with EC2.mp417.56MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/11. Public and Private IP Addresses.mp454.69MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/13. EC2 Life Cycle.mp424.48MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/15. Allocating and Assigning Elastic IP Address.mp432.21MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/17. Managing EC2 Using AWS CLI.mp463.47MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/19. Upgrade or Downgrade EC2 Instances.mp451.27MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/3. Create EC2 Key Pair.mp447.04MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/5. Launch EC2 Instance.mp476.98MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/7. Connecting to EC2 Instance.mp422.74MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/9. Security Groups Basics.mp459.29MB
  • 8. Infrastructure - AWS EC2 Advanced/1. Understanding EC2 Metadata.mp430.89MB
  • 8. Infrastructure - AWS EC2 Advanced/11. Validate AMI - Lab.mp436.29MB
  • 8. Infrastructure - AWS EC2 Advanced/3. Querying on EC2 Metadata.mp430.41MB
  • 8. Infrastructure - AWS EC2 Advanced/5. Fitering on EC2 Metadata.mp439.45MB
  • 8. Infrastructure - AWS EC2 Advanced/7. Using Bootstrapping Scripts.mp466.05MB
  • 8. Infrastructure - AWS EC2 Advanced/9. Create an AMI.mp438.08MB
  • 9. Data Ingestion using Lambda Functions/1. Hello World using AWS Lambda.mp424.47MB
  • 9. Data Ingestion using Lambda Functions/11. Validating s3 access for local development.mp463.28MB
  • 9. Data Ingestion using Lambda Functions/13. Develop upload functionality to s3.mp463.67MB
  • 9. Data Ingestion using Lambda Functions/15. Validating using AWS Lambda Console.mp423.75MB
  • 9. Data Ingestion using Lambda Functions/17. Run using AWS Lambda Console.mp435.52MB
  • 9. Data Ingestion using Lambda Functions/19. Validating files incrementally.mp467.36MB
  • 9. Data Ingestion using Lambda Functions/21. Reading and Writing Bookmark using s3.mp461.78MB
  • 9. Data Ingestion using Lambda Functions/23. Maintaining Bookmark using s3.mp457MB
  • 9. Data Ingestion using Lambda Functions/25. Review the incremental upload logic.mp448.1MB
  • 9. Data Ingestion using Lambda Functions/26. Deploying lambda function.mp498.46MB
  • 9. Data Ingestion using Lambda Functions/28. Schedule Lambda Function using AWS Event Bridge.mp436.33MB
  • 9. Data Ingestion using Lambda Functions/3. Setup Project for local development.mp447.01MB
  • 9. Data Ingestion using Lambda Functions/5. Deploy Project to AWS Lambda console.mp426.19MB
  • 9. Data Ingestion using Lambda Functions/7. Develop download functionality using requests.mp449.8MB
  • 9. Data Ingestion using Lambda Functions/9. Using 3rd party libraries in AWS Lambda.mp444.64MB