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Microsoft Certified - Azure Data Engineer Associate (DP-203)
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[TutsNode.net] - Microsoft Certified_ Azure Data Engineer Associate (DP-203) (Size: 12.28 GB) (Files: 378)
[TutsNode.net] - Microsoft Certified_ Azure Data Engineer Associate (DP-203)
05 Batch Processing Solutions
016 Section Recap.mp4
010 Designing and Configuring Exception Handling.en.srt
012 Implementing Azure Databricks.en.srt
002 Identifying Azure Services for Batch Processing.en.srt
008 Handling Duplicate and Missing Data with Data Flow.en.srt
013 Managing Data Pipelines.en.srt
014 Implementing Version Control for Pipeline Artifacts.en.srt
016 Section Recap.en.srt
011 Triggering Batches.en.srt
004 Designing and Implementing Incremental Data Loads.en.srt
009 Upserting Data with Data Flow.en.srt
005 Designing and Implementing Incremental Data Loads Part 2.en.srt
006 Introduction to Data Factory Flow.en.srt
007 Handling Schema Drift.en.srt
008 Sample Data Flow Scripts.txt
015 Managing Spark Jobs in a Pipeline.en.srt
001 Section Introduction.en.srt
002 Identifying Azure Services for Batch Processing.mp4
010 Designing and Configuring Exception Handling.mp4
004 Designing and Implementing Incremental Data Loads.mp4
008 Handling Duplicate and Missing Data with Data Flow.mp4
009 Upserting Data with Data Flow.mp4
011 Triggering Batches.mp4
007 Handling Schema Drift.mp4
014 Implementing Version Control for Pipeline Artifacts.mp4
012 Implementing Azure Databricks.mp4
013 Managing Data Pipelines.mp4
006 Introduction to Data Factory Flow.mp4
001 Section Introduction.mp4
005 Designing and Implementing Incremental Data Loads Part 2.mp4
015 Managing Spark Jobs in a Pipeline.mp4
01 Introduction
001 Course Introduction.en.srt
002 About the Training Architect.en.srt
004 Database Administration and SQL Language Basics.txt
004 Introduction to Python Scripting.txt
004 SQL Deep Dive.txt
003 About the Exam.en.srt
004 Programming Background Needed.en.srt
003 About the Exam.mp4
004 Programming Background Needed.mp4
001 Course Introduction.mp4
002 About the Training Architect.mp4
001 Study Guide.pdf
06 Stream Processing Solutions
009 Processing Data by Using Spark Structured Streaming.en.srt
011 Processing 1 or More Partitions (Repartitioning).en.srt
006 Handling Late-Arriving Data.en.srt
007 Designing and Creating Windowed Aggregates Part 1.en.srt
010 Monitoring for Performance and Functional Regressions.en.srt
003 Designing a Stream Processing Solution.en.srt
002 Identifying Azure Services for Stream Processing.en.srt
008 Designing and Creating Windowed Aggregates Part 2.en.srt
016 Section Recap.en.srt
007 Introduction to Stream Analytics Windowing Functions.txt
014 Upserting Data.en.srt
015 Replaying Archived Stream Data.en.srt
016 Section Recap.mp4
005 Processing Time Series Data.en.srt
012 Handling Interruptions.en.srt
001 Section Introduction.en.srt
013 Designing and Configuring Exception Handling.en.srt
002 Identifying Azure Services for Stream Processing.mp4
011 Processing 1 or More Partitions (Repartitioning).mp4
006 Handling Late-Arriving Data.mp4
007 Designing and Creating Windowed Aggregates Part 1.mp4
003 Designing a Stream Processing Solution.mp4
008 Designing and Creating Windowed Aggregates Part 2.mp4
009 Processing Data by Using Spark Structured Streaming.mp4
010 Monitoring for Performance and Functional Regressions.mp4
005 Processing Time Series Data.mp4
015 Replaying Archived Stream Data.mp4
001 Section Introduction.mp4
012 Handling Interruptions.mp4
013 Designing and Configuring Exception Handling.mp4
014 Upserting Data.mp4
10 Optimizing and Troubleshooting Data Storage and Processing
005 Handling Data Spill.en.srt
004 Handling Skew in Data.en.srt
015 Section Recap.en.srt
012 Optimizing Pipelines for Analytical or Transactional Purposes.en.srt
006 Finding Shuffling in a Pipeline.en.srt
007 Tuning Shuffle Partitions.en.srt
010 Troubleshooting a Failed Spark Job.en.srt
008 Optimizing Resource Management.en.srt
014 Troubleshoot Pipeline Orchestration and Triggers in Azure Data Factory.txt
009 Tuning Queries by Using Cache.en.srt
014 Troubleshooting a Failed Pipeline Run.en.srt
011 Debugging Spark Jobs by Using the Spark UI.en.srt
002 Compacting Small Files.en.srt
003 Rewriting User-Defined Functions.en.srt
001 Section Introduction.en.srt
015 Section Recap.mp4
005 Handling Data Spill.mp4
012 Optimizing Pipelines for Analytical or Transactional Purposes.mp4
014 Troubleshooting a Failed Pipeline Run.mp4
010 Troubleshooting a Failed Spark Job.mp4
004 Handling Skew in Data.mp4
007 Tuning Shuffle Partitions.mp4
009 Tuning Queries by Using Cache.mp4
008 Optimizing Resource Management.mp4
006 Finding Shuffling in a Pipeline.mp4
011 Debugging Spark Jobs by Using the Spark UI.mp4
003 Rewriting User-Defined Functions.mp4
002 Compacting Small Files.mp4
001 Section Introduction.mp4
02 Data Engineering Crash Course
007 Introduction to Azure Stream Analytics.en.srt
004 Introduction to Data Lakes.en.srt
005 What Is Azure Data Factory.txt
006 What Is Azure Synapse Analytics.txt
008 Introduction to Azure Databricks.en.srt
008 What Is Azure Databricks.txt
009 Section Recap.en.srt
006 Introduction to Azure Synapse Analytics.en.srt
002 The View from Mars Data Engineering at a Glance.en.srt
005 Introduction to Azure Data Factory.en.srt
009 Section Recap.mp4
003 What Does Azure Have to Offer.en.srt
001 Section Introduction.en.srt
008 Introduction to Azure Databricks.mp4
007 Introduction to Azure Stream Analytics.mp4
002 The View from Mars Data Engineering at a Glance.mp4
004 Introduction to Data Lakes.mp4
006 Introduction to Azure Synapse Analytics.mp4
005 Introduction to Azure Data Factory.mp4
001 Section Introduction.mp4
003 What Does Azure Have to Offer.mp4
08 Configuring Security and Compliance
014 Section Recap.en.srt
007 Securing Azure Data Lake Through RBAC and ACLs.en.srt
002 Understanding Data Protection.en.srt
006 Purging Data Based on Business Requirements.en.srt
008 Managing Identities Keys and Secrets.en.srt
012 Managing Sensitive Information.en.srt
003 Implementing Data Protection with Data Masking.en.srt
013 Loading a DataFrame with Sensitive Information.en.srt
005 Configuring Data Retention.en.srt
011 Implementing Resource Tokens in Azure Databricks.en.srt
004 Auditing Data.en.srt
009 Implementing Secure Endpoints.en.srt
001 Section Introduction.en.srt
014 Section Recap.mp4
013 Loading a DataFrame with Sensitive Information.mp4
002 Understanding Data Protection.mp4
007 Securing Azure Data Lake Through RBAC and ACLs.mp4
005 Configuring Data Retention.mp4
012 Managing Sensitive Information.mp4
011 Implementing Resource Tokens in Azure Databricks.mp4
006 Purging Data Based on Business Requirements.mp4
008 Managing Identities Keys and Secrets.mp4
003 Implementing Data Protection with Data Masking.mp4
004 Auditing Data.mp4
001 Section Introduction.mp4
009 Implementing Secure Endpoints.mp4
04 Data Ingestion and Transformation
007 Creating Data Pipelines.en.srt
002 Meeting the Tools of the Trade Azure Data Factory.en.srt
018 Section Recap.en.srt
004 Data Integration in Azure Synapse Analytics versus Azure Data Factory.txt
009 Integrating JupyterPython Notebooks into a Data Pipeline.en.srt
005 Introduction to DataFrames - Scala.txt
003 Meeting the Tools of the Trade Transact-SQL.en.srt
005 Meeting the Tools of the Trade Scala.en.srt
011 Splitting Data.en.srt
013 Encoding and Decoding Data.en.srt
010 Cleansing Data.en.srt
014 Configuring Error Handling for Transformations.en.srt
018 Section Recap.mp4
008 Designing and Creating Tests for Data Pipelines.en.srt
016 Performing Data Exploratory Analysis.en.srt
015 Normalizing and Denormalizing Values.en.srt
006 Meeting the Tools of the Trade Apache Spark.en.srt
001 Section Introduction.en.srt
004 Meeting the Tools of the Trade Azure Synapse Pipelines.en.srt
012 Shredding JSON.en.srt
002 Meeting the Tools of the Trade Azure Data Factory.mp4
007 Creating Data Pipelines.mp4
011 Splitting Data.mp4
013 Encoding and Decoding Data.mp4
009 Integrating JupyterPython Notebooks into a Data Pipeline.mp4
014 Configuring Error Handling for Transformations.mp4
010 Cleansing Data.mp4
008 Designing and Creating Tests for Data Pipelines.mp4
006 Meeting the Tools of the Trade Apache Spark.mp4
004 Meeting the Tools of the Trade Azure Synapse Pipelines.mp4
015 Normalizing and Denormalizing Values.mp4
005 Meeting the Tools of the Trade Scala.mp4
001 Section Introduction.mp4
003 Meeting the Tools of the Trade Transact-SQL.mp4
012 Shredding JSON.mp4
016 Performing Data Exploratory Analysis.mp4
09 Monitoring Data Storage and Data Processing
005 Measuring Query Performance.en.srt
002 Configuring Monitoring Services.en.srt
004 More Example Syntax to Update Statistics.txt
004 Monitoring and Updating Statistics about Data across a System.en.srt
008 Interpreting a Spark Directed Acyclic Graph (DAG).en.srt
003 Measuring Performance of Data Movement.en.srt
007 Understanding Custom Logging Options.en.srt
009 Section Recap.en.srt
006 Monitoring Cluster Performance.en.srt
001 Section Introduction.en.srt
005 Measuring Query Performance.mp4
002 Configuring Monitoring Services.mp4
009 Section Recap.mp4
004 Monitoring and Updating Statistics about Data across a System.mp4
003 Measuring Performance of Data Movement.mp4
008 Interpreting a Spark Directed Acyclic Graph (DAG).mp4
007 Understanding Custom Logging Options.mp4
006 Monitoring Cluster Performance.mp4
001 Section Introduction.mp4
03 Data Storage
013 Sharding Data.en.srt
003 Getting the Folder Structure Right.en.srt
008 Distributing Data.en.srt
002 Using Azure Data Lakes.en.srt
014 Implementing Data Redundancy.en.srt
006 Partitioning Best Practices Part 1.en.srt
004 Understanding File Types.en.srt
012 Compressing Data.en.srt
009 Archiving Data.en.srt
005 Partitioning Data.en.srt
007 Partitioning Best Practices Part 2.en.srt
011 Pruning Data.en.srt
016 Section Recap.en.srt
001 Section Introduction.en.srt
013 Sharding Data.mp4
008 Distributing Data.mp4
004 Understanding File Types.mp4
006 Partitioning Best Practices Part 1.mp4
014 Implementing Data Redundancy.mp4
005 Partitioning Data.mp4
011 Pruning Data.mp4
002 Using Azure Data Lakes.mp4
012 Compressing Data.mp4
003 Getting the Folder Structure Right.mp4
016 Section Recap.mp4
007 Partitioning Best Practices Part 2.mp4
009 Archiving Data.mp4
001 Section Introduction.mp4
07 Data Serving Layer
002 Understanding Schema and Table Design.en.srt
005 Designing Analytical Stores.en.srt
003 Understanding Dimensions.en.srt
006 Designing Metastores.en.srt
008 Section Recap.en.srt
004 Building External Tables.en.srt
007 Maintaining Metadata.en.srt
001 Section Introduction.en.srt
003 Understanding Dimensions.mp4
006 Designing Metastores.mp4
008 Section Recap.mp4
005 Designing Analytical Stores.mp4
002 Understanding Schema and Table Design.mp4
004 Building External Tables.mp4
007 Maintaining Metadata.mp4
001 Section Introduction.mp4
11 Conclusion
002 Exam Tips.en.srt
001 Bringing It All Together.en.srt
003 Final Notes.en.srt
002 Exam Tips.mp4
001 Bringing It All Together.mp4
003 Final Notes.mp4
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