Azure Databricks – B3 – Evening 9.30 PM – 10.30 PM IST
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Azure Databricks – Demo sessions
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Session recording 01 to 15Day 1 Azure databricks – cloud data processing 19 May 20251h 1m 53sDay 2 Azure fundamentals 20 May 20251h 2m 31sDay 3 Azure fundamentals 21 May 20251h 11m 37sDay 4 Azure fundamentals 22 May 20251h 2m 25sDay 5 Azure resources and virtual machine connection 23 May 202554m 11sDay 6 Azure storage 26 May 20251h 3m 34sDay 7 Azure blob and data lake storage 27 May 20251h 10m 38sDay 8 Azure shared access signature 28 May 202559m 6sDay 9 Azure Data lake 29 May 202556m 15sDay 10 Databases in azure and intro to spark 30 May 20251h 6m 27sDay 11 Azure Spark 03 Jun 20251h 3m 8sDay 12 Azure Spark Architecture 04 Jun 20251h 16m 43sDay 13 Azure Data frames 05 Jun 20251h 10m 16sDay 14 How to solve different scenarios in data frames 06 Jun 202554m 30sDay 15 Tables in spark 09 May 202553m 31s
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Session recording 16 to 30Day 16 Connection to Azure Data Lake from databricks 10 Jun 202558m 26sDay 17 Mounting ADLS to dbfs 11 Jun 202544m 32sDay 18 Mounting ADLS to dbfs II 12 Jun 202557m 8sDay 19 Transformations 13 Jun 202558m 57sDay 20 Transformations 16 Jun 202550m 28sDay 21 Medallion Architecture 17 Jun 202552m 21sDay 22 Azure Databricks Gold to silver layer 18 Jun 20251h 2m 4sDay 23 Azure Databricks Hive Metastore 19 Jun 202549m 2sDay 24 Quizz session 20 Jun 202545m 39sDay 25 Hive Metastore 24 Jun 202556m 49sDay 26 Extention of managed tables and get insights into the lakehouse 25 Jul 20251h 8m 37sDay 27 Unmanaged tables and data lake house 26 Jun 20250sDay 28 Datalake house 27 Jun 20250s
Microsoft Azure – Databricks – Weekday Morning Batch – III
Start date: 14 May 2025
Time: 9:30 PM to 10:30 PM IST
Duration: 30 days (25+ hours – Each day 1 hour)
Days: Monday to Friday
Trainer: Mr. Shreyas
