Azure Data Engineer Associate
Focused View
11:52:34
129 View
001 Course Introduction.mp4
01:42
001 Study Guide.pdf
002 About the Training Architect.mp4
01:11
003 About the Exam.mp4
07:04
004 Programming Background Needed.mp4
04:51
004 database administration and sql language basics.zip
004 introduction to python scripting.zip
004 sql deep dive.zip
001 Section Introduction.mp4
03:40
002 The View from Mars Data Engineering at a Glance.mp4
06:35
003 What Does Azure Have to Offer.mp4
04:59
004 Introduction to Data Lakes.mp4
08:45
005 Introduction to Azure Data Factory.mp4
06:42
005 what is azure data factory.zip
006 Introduction to Azure Synapse Analytics.mp4
07:16
006 what is azure synapse analytics.zip
007 Introduction to Azure Stream Analytics.mp4
08:47
008 Introduction to Azure Databricks.mp4
08:23
008 what is azure databricks.zip
009 Section Recap.mp4
07:46
001 Section Introduction.mp4
02:31
002 Using Azure Data Lakes.mp4
08:05
003 Getting the Folder Structure Right.mp4
08:01
004 Understanding File Types.mp4
06:28
005 Partitioning Data.mp4
05:08
006 Partitioning Best Practices Part 1.mp4
06:57
007 Partitioning Best Practices Part 2.mp4
04:08
008 Distributing Data.mp4
07:43
009 Archiving Data.mp4
06:01
011 Pruning Data.mp4
04:21
012 Compressing Data.mp4
05:42
013 Sharding Data.mp4
08:47
014 Implementing Data Redundancy.mp4
07:59
016 Section Recap.mp4
03:11
001 Section Introduction.mp4
03:08
002 Meeting the Tools of the Trade Azure Data Factory.mp4
08:54
003 Meeting the Tools of the Trade Transact-SQL.mp4
05:36
004 Meeting the Tools of the Trade Azure Synapse Pipelines.mp4
03:24
004 data integration in azure synapse analytics versus azure data factory.zip
005 Meeting the Tools of the Trade Scala.mp4
05:38
005 introduction to dataframes - scala.zip
006 Meeting the Tools of the Trade Apache Spark.mp4
03:53
007 Creating Data Pipelines.mp4
10:05
008 Designing and Creating Tests for Data Pipelines.mp4
04:40
009 Integrating JupyterPython Notebooks into a Data Pipeline.mp4
06:01
010 Cleansing Data.mp4
05:18
011 Splitting Data.mp4
06:33
012 Shredding JSON.mp4
03:14
013 Encoding and Decoding Data.mp4
05:36
014 Configuring Error Handling for Transformations.mp4
04:50
015 Normalizing and Denormalizing Values.mp4
04:06
016 Performing Data Exploratory Analysis.mp4
04:25
018 Section Recap.mp4
07:49
001 Section Introduction.mp4
03:01
002 Identifying Azure Services for Batch Processing.mp4
08:33
004 Designing and Implementing Incremental Data Loads.mp4
06:48
005 Designing and Implementing Incremental Data Loads Part 2.mp4
06:10
006 Introduction to Data Factory Flow.mp4
05:52
007 Handling Schema Drift.mp4
04:57
008 Handling Duplicate and Missing Data with Data Flow.mp4
07:21
008 sample data flow scripts.zip
009 Upserting Data with Data Flow.mp4
05:59
010 Designing and Configuring Exception Handling.mp4
11:25
011 Triggering Batches.mp4
06:58
012 Implementing Azure Databricks.mp4
09:13
013 Managing Data Pipelines.mp4
07:57
014 Implementing Version Control for Pipeline Artifacts.mp4
07:13
015 Managing Spark Jobs in a Pipeline.mp4
03:43
016 Section Recap.mp4
07:53
001 Section Introduction.mp4
03:10
002 Identifying Azure Services for Stream Processing.mp4
08:14
003 Designing a Stream Processing Solution.mp4
08:46
005 Processing Time Series Data.mp4
04:09
006 Handling Late-Arriving Data.mp4
09:46
007 Designing and Creating Windowed Aggregates Part 1.mp4
09:08
007 introduction to stream analytics windowing functions.zip
008 Designing and Creating Windowed Aggregates Part 2.mp4
08:42
009 Processing Data by Using Spark Structured Streaming.mp4
11:43
010 Monitoring for Performance and Functional Regressions.mp4
08:29
011 Processing 1 or More Partitions (Repartitioning).mp4
09:40
012 Handling Interruptions.mp4
03:58
013 Designing and Configuring Exception Handling.mp4
01:55
014 Upserting Data.mp4
04:55
015 Replaying Archived Stream Data.mp4
04:43
016 Section Recap.mp4
07:59
001 Section Introduction.mp4
01:31
002 Understanding Schema and Table Design.mp4
07:51
003 Understanding Dimensions.mp4
06:47
004 Building External Tables.mp4
05:35
005 Designing Analytical Stores.mp4
06:11
006 Designing Metastores.mp4
06:41
007 Maintaining Metadata.mp4
03:21
008 Section Recap.mp4
06:01
001 Section Introduction.mp4
02:32
002 Understanding Data Protection.mp4
07:00
003 Implementing Data Protection with Data Masking.mp4
05:11
004 Auditing Data.mp4
04:12
005 Configuring Data Retention.mp4
04:27
006 Purging Data Based on Business Requirements.mp4
06:07
007 Securing Azure Data Lake Through RBAC and ACLs.mp4
09:00
008 Managing Identities Keys and Secrets.mp4
05:58
009 Implementing Secure Endpoints.mp4
03:35
011 Implementing Resource Tokens in Azure Databricks.mp4
05:00
012 Managing Sensitive Information.mp4
05:37
013 Loading a DataFrame with Sensitive Information.mp4
05:41
014 Section Recap.mp4
09:11
001 Section Introduction.mp4
02:25
002 Configuring Monitoring Services.mp4
07:18
003 Measuring Performance of Data Movement.mp4
04:51
004 Monitoring and Updating Statistics about Data across a System.mp4
05:31
004 more example syntax to update statistics.zip
005 Measuring Query Performance.mp4
08:21
006 Monitoring Cluster Performance.mp4
03:57
007 Understanding Custom Logging Options.mp4
04:02
008 Interpreting a Spark Directed Acyclic Graph (DAG).mp4
05:14
009 Section Recap.mp4
03:38
001 Section Introduction.mp4
01:52
002 Compacting Small Files.mp4
03:50
003 Rewriting User-Defined Functions.mp4
03:24
004 Handling Skew in Data.mp4
08:12
005 Handling Data Spill.mp4
09:08
006 Finding Shuffling in a Pipeline.mp4
05:40
007 Tuning Shuffle Partitions.mp4
05:45
008 Optimizing Resource Management.mp4
05:02
009 Tuning Queries by Using Cache.mp4
04:15
010 Troubleshooting a Failed Spark Job.mp4
05:00
011 Debugging Spark Jobs by Using the Spark UI.mp4
04:08
012 Optimizing Pipelines for Analytical or Transactional Purposes.mp4
07:26
014 Troubleshooting a Failed Pipeline Run.mp4
04:21
014 troubleshoot pipeline orchestration and triggers in azure data factory.zip
015 Section Recap.mp4
07:44
001 Bringing It All Together.mp4
02:33
002 Exam Tips.mp4
04:24
003 Final Notes.mp4
02:51
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Acloud Guru
View courses Acloud GuruA Cloud Guru is an online training platform for people interested in Information Technology. Most of the courses offered prepare students to take certification exams for the three major cloud providers.
- language english
- Training sessions 121
- duration 11:52:34
- English subtitles has
- Release Date 2023/03/25
