You will get a streaming solution in pyspark to process data from kafka to S3 deltalake


Project details
Real-Time Kafka to Delta Lake Pipeline using PySpark | A PySpark streaming solution, that ingests JSON data from Apache Kafka, performs transformations and validations, and writes to Delta Lake on AWS S3, using Spark Structured Streaming.
Key Features:
1. Application logging (log4j) enabled
2. Ready to use Kafka messages producer
3. Test case sample included
Key Features:
1. Application logging (log4j) enabled
2. Ready to use Kafka messages producer
3. Test case sample included
What's included $20
These options are included with the project scope.
$20
- Delivery Time 15 days
- Number of Revisions 3
- Source Code
About Mandar
Databricks | PySpark | Delta Lake | ETL | Streaming App | SQL
Bengaluru, India - 11:17 am local time
Steps for completing your project
After purchasing the project, send requirements so Mandar can start the project.
Delivery time starts when Mandar receives requirements from you.
Mandar works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the exact requirement
Will need to hear the exact requirement based on which the existing template pipeline can we enhanced.