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Udemy - Data Engineering with Spark Databricks Delta Lake Lakehouse
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Name:Udemy - Data Engineering with Spark Databricks Delta Lake Lakehouse
Infohash: A3039CF1CD02FD6ED8109F2A5CE3BBE1E958883D
Total Size: 3.19 GB
Magnet: Magnet Download
Seeds: 51
Leechers: 23
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2026-03-12 20:02:26 (Update Now)
Torrent added: 2026-03-12 20:02:21
Torrent Files List
Chapter 1_Introduction (Size: 3.19 GB) (Files: 68)
Chapter 1_Introduction
1.Introduction.mp4
2.Data Engineering with Spark.mp4
3.What is Databricks.mp4
Chapter 2_Working with Databricks Storage_ DBFS, Volumes, and Delta Tables
10.Important_ Interface Differences Between Databricks Editions.mp4
4.Getting Started with Databricks Free Edition.mp4
5-Resources
delta_unity.zip
5.Working with Unity Catalog and Delta Tables.mp4
6-Resources
fx-dbfs-demo.ipynb.zip
6.Exploring DBFS and dbutils - Working with Sample Datasets.mp4
7-Resources
databricks_volume_demo.ipynb
7.Unity Catalog Volumes - File Storage and Operations.mp4
8-Resources
read_from_db_write_to_delta.ipynb
8.Using Generative AI in Databricks for Data Transformation and Querying.mp4
9.No-Code Data Engineering with Databricks Generative AI.mp4
Chapter 3_Data Engineering with Apache Spark
11-Resources
spark_transformations_python.zip
11.More Transformations and Actions using PySpark.mp4
12-Resources
scala_transformations.zip
12.Doing the Transformations in Scala.mp4
13-Resources
python_scala_crash_course.zip
13.Python Scala crash course.mp4
14-Resources
fx_udf.ipynb.zip
14.Spark User Defined Functions (UDF).mp4
15-Resources
spark_joins_1.zip
store_customers_transactions_1.zip
15.Joining Datasets using DataFrame APIs and Spark SQL.mp4
16-Resources
spark_joins.zip
store_customers_transactions.zip
16.More join operations using Spark.mp4
17.Section summary.mp4
Chapter 4_Dat Lakehouse Delta Lake and Delta Tables deep dive
18.Understanding Data Warehouse, Data Lake and Data Lakehouse.mp4
19.Databricks Lakehouse Architecture and Delta Lake.mp4
20.Delta Tables.mp4
21-Resources
spark_transformations_python_sql.zip
21.Storing data in a Delta table, Databricks SQL and time travel.mp4
22-Resources
databricks_sql.zip
22.Databricks SQL vs Spark SQL.mp4
23-Resources
delta_table_caching.zip
23.Delta Table caching.mp4
24-Resources
delta_table_paritioning.zip
24.Delta Table partitioning.mp4
25-Resources
delta_table_paritioning_zordering.zip
25.Delta Table Z-ordering.mp4
Chapter 5_Databricks Labs on AWS
26.AWS Account Creation.mp4
27.Setting up Databricks account on AWS.mp4
28-Resources
aws-labs.zip
28.Running Notebooks Within a Databricks AWS Account.mp4
29-Resources
futurex-dlt-sql-demo.zip
29.Building an ETL pipeline with Delta Live Tables.mp4
Chapter 6_Bonus Section - AWS Data Engineering Labs
30.AWS Identity and Access Management (IAM).mp4
31.Understanding AWS Glue.mp4
32.Lab - Creating a data catalog in Glue and viewing data in Athena.mp4
33.Lab - Running an ETL job using Glue.mp4
34.Understanding Amazon EventBridge.mp4
35.Lab - Triggering SNS Notification for S3 Upload Event using EventBridge.mp4
36.Understanding AWS Step Functions.mp4
37.Lab - Orchestrating Lambda functions with Step Functions State Machine.mp4
38.Lab - ETL Workflow Orchestration with AWS Glue Lambda EventBridge Step Functions.mp4
39.Understanding Kinesis Data Stream.mp4
40.Lab - Storing and Retrieving Data from a Kinesis Data Stream Using AWS CLI.mp4
41.Lab - Kinesis Data Stream Python Boto3 Producer & Consumer.mp4
42.Lab - Writing simulated weather data from a Kinesis Stream to S3 with AWS Lambda.mp4
43.Getting Started with AWS EC2 _ The Foundation for Amazon EMR.mp4
44.Lab - Running Spark transformation jobs using Amazon EMR on EC2.mp4
45.Understanding Amazon Redshift.mp4
46.Lab - Creating a Data Warehouse on S3 data using Amazon Redshift.mp4
47.AWS Glue DataBrew_ No-Code Data Transformation.mp4
Chapter 7_Conclusion and where to go from here_
48-Resources
other_courses_resources.txt.zip
48.Where to go from here_.mp4
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