Udemy - Data Engineering with Spark Databricks Delta Lake Lakehouse
File List
- Chapter 3_Data Engineering with Apache Spark/14.Spark User Defined Functions (UDF).mp4 218.8 MB
- Chapter 3_Data Engineering with Apache Spark/15.Joining Datasets using DataFrame APIs and Spark SQL.mp4 213.3 MB
- Chapter 5_Databricks Labs on AWS/28.Running Notebooks Within a Databricks AWS Account.mp4 209.1 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/46.Lab - Creating a Data Warehouse on S3 data using Amazon Redshift.mp4 182.7 MB
- Chapter 5_Databricks Labs on AWS/29.Building an ETL pipeline with Delta Live Tables.mp4 174.1 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/23.Delta Table caching.mp4 150.8 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/21.Storing data in a Delta table, Databricks SQL and time travel.mp4 147.2 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/38.Lab - ETL Workflow Orchestration with AWS Glue Lambda EventBridge Step Functions.mp4 134.9 MB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/7.Unity Catalog Volumes - File Storage and Operations.mp4 126.8 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/47.AWS Glue DataBrew_ No-Code Data Transformation.mp4 119.2 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/30.AWS Identity and Access Management (IAM).mp4 104.0 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/24.Delta Table partitioning.mp4 91.3 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/40.Lab - Storing and Retrieving Data from a Kinesis Data Stream Using AWS CLI.mp4 87.0 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/32.Lab - Creating a data catalog in Glue and viewing data in Athena.mp4 83.3 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/33.Lab - Running an ETL job using Glue.mp4 81.5 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/41.Lab - Kinesis Data Stream Python Boto3 Producer & Consumer.mp4 76.6 MB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/5.Working with Unity Catalog and Delta Tables.mp4 74.4 MB
- Chapter 3_Data Engineering with Apache Spark/11.More Transformations and Actions using PySpark.mp4 74.2 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/22.Databricks SQL vs Spark SQL.mp4 73.8 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/37.Lab - Orchestrating Lambda functions with Step Functions State Machine.mp4 73.5 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/42.Lab - Writing simulated weather data from a Kinesis Stream to S3 with AWS Lambda.mp4 63.4 MB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/6.Exploring DBFS and dbutils - Working with Sample Datasets.mp4 59.6 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/44.Lab - Running Spark transformation jobs using Amazon EMR on EC2.mp4 59.6 MB
- Chapter 3_Data Engineering with Apache Spark/12.Doing the Transformations in Scala.mp4 59.5 MB
- Chapter 5_Databricks Labs on AWS/27.Setting up Databricks account on AWS.mp4 56.8 MB
- Chapter 1_Introduction/1.Introduction.mp4 52.4 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/43.Getting Started with AWS EC2 _ The Foundation for Amazon EMR.mp4 51.6 MB
- Chapter 3_Data Engineering with Apache Spark/16.More join operations using Spark.mp4 51.5 MB
- Chapter 3_Data Engineering with Apache Spark/13.Python Scala crash course.mp4 32.9 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/35.Lab - Triggering SNS Notification for S3 Upload Event using EventBridge.mp4 32.5 MB
- Chapter 5_Databricks Labs on AWS/26.AWS Account Creation.mp4 29.7 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/25.Delta Table Z-ordering.mp4 27.6 MB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/4.Getting Started with Databricks Free Edition.mp4 26.5 MB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/9.No-Code Data Engineering with Databricks Generative AI.mp4 21.8 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/18.Understanding Data Warehouse, Data Lake and Data Lakehouse.mp4 21.4 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/39.Understanding Kinesis Data Stream.mp4 20.7 MB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/10.Important_ Interface Differences Between Databricks Editions.mp4 16.9 MB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/8.Using Generative AI in Databricks for Data Transformation and Querying.mp4 15.0 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/19.Databricks Lakehouse Architecture and Delta Lake.mp4 13.2 MB
- Chapter 1_Introduction/2.Data Engineering with Spark.mp4 12.9 MB
- Chapter 7_Conclusion and where to go from here_/48.Where to go from here_.mp4 8.6 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/34.Understanding Amazon EventBridge.mp4 7.3 MB
- Chapter 1_Introduction/3.What is Databricks.mp4 7.1 MB
- Chapter 3_Data Engineering with Apache Spark/17.Section summary.mp4 5.5 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/36.Understanding AWS Step Functions.mp4 5.2 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/31.Understanding AWS Glue.mp4 3.8 MB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/20.Delta Tables.mp4 3.2 MB
- Chapter 6_Bonus Section - AWS Data Engineering Labs/45.Understanding Amazon Redshift.mp4 2.3 MB
- Chapter 3_Data Engineering with Apache Spark/15-Resources/store_customers_transactions_1.zip 817.4 KB
- Chapter 3_Data Engineering with Apache Spark/16-Resources/store_customers_transactions.zip 817.4 KB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/6-Resources/fx-dbfs-demo.ipynb.zip 538.7 KB
- Chapter 5_Databricks Labs on AWS/28-Resources/aws-labs.zip 65.4 KB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/8-Resources/read_from_db_write_to_delta.ipynb 31.6 KB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/7-Resources/databricks_volume_demo.ipynb 28.3 KB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/25-Resources/delta_table_paritioning_zordering.zip 13.7 KB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/24-Resources/delta_table_paritioning.zip 10.8 KB
- Chapter 3_Data Engineering with Apache Spark/14-Resources/fx_udf.ipynb.zip 9.8 KB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/23-Resources/delta_table_caching.zip 7.7 KB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/21-Resources/spark_transformations_python_sql.zip 6.5 KB
- Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables/5-Resources/delta_unity.zip 6.1 KB
- Chapter 3_Data Engineering with Apache Spark/15-Resources/spark_joins_1.zip 5.2 KB
- Chapter 3_Data Engineering with Apache Spark/16-Resources/spark_joins.zip 5.2 KB
- Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive/22-Resources/databricks_sql.zip 3.6 KB
- Chapter 3_Data Engineering with Apache Spark/13-Resources/python_scala_crash_course.zip 3.1 KB
- Chapter 3_Data Engineering with Apache Spark/11-Resources/spark_transformations_python.zip 2.5 KB
- Chapter 7_Conclusion and where to go from here_/48-Resources/other_courses_resources.txt.zip 1.1 KB
- Chapter 5_Databricks Labs on AWS/29-Resources/futurex-dlt-sql-demo.zip 632 bytes
- Chapter 3_Data Engineering with Apache Spark/12-Resources/scala_transformations.zip 589 bytes
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