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Microsoft Azure – Data Engineering – B2 – Morning 7 to 8:30 am IST
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Introduction to Azure
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Session Recordings 01 to 10Day 1 Introduction and Cloud Computing in Azure 02 Aug 202457m 5sDay 2 Introduction and Cloud Computing in Azure 05 Aug 20241h 11m 55sDay 3 Management groups in Azure 06 Aug 20241h 3m 58sDay 4 Azure compute services and functions 07 Aug 202448m 26sDay 5 Azure Compute services and functions VM & AVB 12 Aug 20241h 12m 24sDay 6 Azure networking and Database services 13 Aug 20241h 9m 11sDay 7 The storage account redundancy, access tiers 14 Aug 20241h 4m 36sDay 8 Storage security and data lake 16 Aug 202457m 56sDay 9 Azure data lake and data governance 19 Aug 202452m 26sDay 10 Discussion Azure databases 20 Aug 20241h 6m 2s
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Session Recording 11 to 20Day 11 T-SQL and Azure Data Studio 22 Aug 20241h 35sDay 12 SQL with azure data studio and intro to azure synapse 23 Aug 20241h 4m 19sDay 13 Azure Data Factory 26 Aug 20241h 15m 30sDay 14 Azure Synapse 27 Aug 202458m 31sDay 15 Azure synapse and external table in Azure synapse 28 Aug 202450m 39sDay 16 Analysis of parquet files using synapse and then move on to dedicated SQL pool 29 Aug 20241h 5m 59sDay 17 Dedicated Sequel pool 02 Sep 20241h 10m 4sDay 18 Dedicated sequel pool 03 Sep 20241h 5m 55sDay 19 Discussion on Synapse pipelines and Understand Distributions 04 Sep 202451m 18sDay 20 Azure Data Factory 05 Sep 20241h 2m 24s
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Session Recording 21 to 30Day 21 Azure Data Factory pipelines and self-hosted integration runtime 09 Sep 20241h 3m 27sDay 22 Azure Data Factory and ADF dataflows 11 Sep 202455m 35sDay 23 Self hosted integration runtime and ADF integration with GIT 11 Sep 202456m 53sDay 24 Git Integration with azure data factory and introduction to event hub 12 Sep 20241h 12m 58sDay 25 Azure stream analytics 16 Sep 20241h 16m 18sDay 26 Event hub and Azure stream analytics 17 Sep 20241h 9m 9sDay 27 Stream Analytics with blob storage 20 Sep 202435m 43sDay 28 Spark and Spyspark 23 Sep 202452m 37sDay 29 Synapse spark pool 24 Sep 20241h 4m 41sDay 30 Pyspark and Synapse 25 Sep 20241h 11m 45s
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Session Recording 31 to 40Day 31 Discussion on spark pool and databricks intro 26 Sep 20241h 14m 38sDay 32 Discussion on Azure Databricks 27 Sep 202449m 8sDay 33 Azure Databricks 30 Spe 202451m 46sDay 34 Azure Databricks 01 Oct 202458m 33sDay 35 Azure Databricks 03 Oct 202459m 2sDay 36 Azure Databricks 04 Oct 20241h 7m 22sDay 37 Azure Data bricks 07 Oct 202452m 9sDay 38 Azure Databricks 09 Oct 202459m 56sDay 39 Azure Data Engineering Project level sessions56m 12s
Microsoft Azure – Data Engineering – Morning Batch-2
Start date: 02-Aug-2024
Time: 7:00 am to 8:30 am IST
Duration: 30 days (45 hours – Each day 1.5 hours)
Days: Monday to Friday
Trainer: Mr. Shreyas
Please contact us for more details
What's included
- Day-wise notes
- All sessions recording - Life time access
- Interview questions and answers
- Resume preparations
