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Udemy - Data Engineering with Spark Databricks Delta Lake Lakehouse

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
A3039CF1CD02FD6ED8109F2A5CE3BBE1E958883D
Source
Unverified
Total Size
3.19 GB
Total Files
68
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
Chapter 1_Introduction/1.Introduction.mp452.37 MB
Chapter 1_Introduction/2.Data Engineering with Spark.mp412.9 MB
Chapter 1_Introduction/3.What is Databricks.mp47.11 MB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/10.Important_ Interface Differences Between Databricks Editions.mp416.91 MB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/4.Getting Started with Databricks Free Edition.mp426.49 MB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/5-Resources/delta_unity.zip6.06 KB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/5.Working with Unity Catalog and Delta Tables.mp474.42 MB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/6-Resources/fx-dbfs-demo.ipynb.zip538.74 KB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/6.Exploring DBFS and dbutils - Working with Sample Datasets.mp459.6 MB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/7-Resources/databricks_volume_demo.ipynb28.32 KB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/7.Unity Catalog Volumes - File Storage and Operations.mp4126.81 MB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/8-Resources/read_from_db_write_to_delta.ipynb31.59 KB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/8.Using Generative AI in Databricks for Data Transformation and Querying.mp415.04 MB
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/9.No-Code Data Engineering with Databricks Generative AI.mp421.83 MB
Chapter 3_Data Engineering with Apache Spark/11-Resources/spark_transformations_python.zip2.46 KB
Chapter 3_Data Engineering with Apache Spark/11.More Transformations and Actions using PySpark.mp474.18 MB
Chapter 3_Data Engineering with Apache Spark/12-Resources/scala_transformations.zip589 B
Chapter 3_Data Engineering with Apache Spark/12.Doing the Transformations in Scala.mp459.46 MB
Chapter 3_Data Engineering with Apache Spark/13-Resources/python_scala_crash_course.zip3.13 KB
Chapter 3_Data Engineering with Apache Spark/13.Python Scala crash course.mp432.92 MB
Chapter 3_Data Engineering with Apache Spark/14-Resources/fx_udf.ipynb.zip9.83 KB
Chapter 3_Data Engineering with Apache Spark/14.Spark User Defined Functions (UDF).mp4218.78 MB
Chapter 3_Data Engineering with Apache Spark/15-Resources/spark_joins_1.zip5.16 KB
Chapter 3_Data Engineering with Apache Spark/15-Resources/store_customers_transactions_1.zip817.41 KB
Chapter 3_Data Engineering with Apache Spark/15.Joining Datasets using DataFrame APIs and Spark SQL.mp4213.26 MB
Chapter 3_Data Engineering with Apache Spark/16-Resources/spark_joins.zip5.16 KB
Chapter 3_Data Engineering with Apache Spark/16-Resources/store_customers_transactions.zip817.41 KB
Chapter 3_Data Engineering with Apache Spark/16.More join operations using Spark.mp451.51 MB
Chapter 3_Data Engineering with Apache Spark/17.Section summary.mp45.53 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/18.Understanding Data Warehouse, Data Lake and Data Lakehouse.mp421.36 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/19.Databricks Lakehouse Architecture and Delta Lake.mp413.22 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/20.Delta Tables.mp43.2 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/21-Resources/spark_transformations_python_sql.zip6.52 KB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/21.Storing data in a Delta table, Databricks SQL and time travel.mp4147.21 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/22-Resources/databricks_sql.zip3.57 KB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/22.Databricks SQL vs Spark SQL.mp473.85 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/23-Resources/delta_table_caching.zip7.7 KB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/23.Delta Table caching.mp4150.76 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/24-Resources/delta_table_paritioning.zip10.8 KB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/24.Delta Table partitioning.mp491.31 MB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/25-Resources/delta_table_paritioning_zordering.zip13.69 KB
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/25.Delta Table Z-ordering.mp427.6 MB
Chapter 5_Databricks Labs on AWS/26.AWS Account Creation.mp429.73 MB
Chapter 5_Databricks Labs on AWS/27.Setting up Databricks account on AWS.mp456.78 MB
Chapter 5_Databricks Labs on AWS/28-Resources/aws-labs.zip65.43 KB
Chapter 5_Databricks Labs on AWS/28.Running Notebooks Within a Databricks AWS Account.mp4209.15 MB
Chapter 5_Databricks Labs on AWS/29-Resources/futurex-dlt-sql-demo.zip632 B
Chapter 5_Databricks Labs on AWS/29.Building an ETL pipeline with Delta Live Tables.mp4174.13 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/30.AWS Identity and Access Management (IAM).mp4104.01 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/31.Understanding AWS Glue.mp43.83 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/32.Lab - Creating a data catalog in Glue and viewing data in Athena.mp483.26 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/33.Lab - Running an ETL job using Glue.mp481.5 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/34.Understanding Amazon EventBridge.mp47.3 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/35.Lab - Triggering SNS Notification for S3 Upload Event using EventBridge.mp432.46 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/36.Understanding AWS Step Functions.mp45.16 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/37.Lab - Orchestrating Lambda functions with Step Functions State Machine.mp473.49 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/38.Lab - ETL Workflow Orchestration with AWS Glue Lambda EventBridge Step Functions.mp4134.94 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/39.Understanding Kinesis Data Stream.mp420.71 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/40.Lab - Storing and Retrieving Data from a Kinesis Data Stream Using AWS CLI.mp487.02 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/41.Lab - Kinesis Data Stream Python Boto3 Producer & Consumer.mp476.58 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/42.Lab - Writing simulated weather data from a Kinesis Stream to S3 with AWS Lambda.mp463.42 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/43.Getting Started with AWS EC2 _ The Foundation for Amazon EMR.mp451.56 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/44.Lab - Running Spark transformation jobs using Amazon EMR on EC2.mp459.56 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/45.Understanding Amazon Redshift.mp42.33 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/46.Lab - Creating a Data Warehouse on S3 data using Amazon Redshift.mp4182.68 MB
Chapter 6_Bonus Section - AWS Data Engineering Labs/47.AWS Glue DataBrew_ No-Code Data Transformation.mp4119.18 MB
Chapter 7_Conclusion and where to go from here_/48-Resources/other_courses_resources.txt.zip1.09 KB
Chapter 7_Conclusion and where to go from here_/48.Where to go from here_.mp48.57 MB

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