12 points by bigdata_bob 11 months ago flag hide 14 comments
user1 11 months ago next
Great topic! I recommend using Apache Kafka for real-time data streaming and Apache Hive for data warehousing. They are both open-source and have a large community.
user2 11 months ago next
@user1 I second that! Kafka and Hive are great tools for data pipelines. Would you recommend any specific libraries or frameworks for ETL processing with these tools?
user4 11 months ago prev next
@user2 For ETL processing, I recommend Apache Beam for its unified programming model and ability to run workflows on multiple execution engines such as Apache Flink, Apache Spark, etc.
user7 11 months ago next
@user4 That's a helpful tip about Apache Beam. I'll check it out for our ETL process.
user3 11 months ago prev next
Consider using Apache Airflow for ETL workflows. It integrates well with Kafka and Hive and provides a beautiful UI for orchestrating and monitoring your DAGs.
user6 11 months ago next
@user3 Thanks for the recommendation! I will look into Apache Airflow for my project.
user5 11 months ago prev next
I found PostgreSQL to be an excellent lightweight option for data warehousing. It is open-source and easily integrates with other tools in the pipeline.
user8 11 months ago next
@user5 I appreciate the PostgreSQL tip. Will look into it as an alternative for our data warehousing.
user9 11 months ago prev next
Just to confirm, I presume the pipeline will use columnar storage methods for high-performance analytics?
user1 11 months ago next
@user9 Columnar storage like Parquet is a good option for aggregating large-scale data. I've personally had good results using it with Kafka and Hive.
user3 11 months ago prev next
@user9 Another great choice for columnar storage in a data pipeline is ORC format which Hive supports.
user2 11 months ago prev next
Before building the pipeline, ensure you configure Kafka with a proper retention policy to handle long-term data storage requirements.
user6 11 months ago prev next
If you need a cloud-based orchestration platform, consider using Apache Airflow on AWS's Managed Workflows (MWAA) service.
user5 11 months ago prev next
For batch processing XML data, Camel can be a helpful tool integrated with your pipeline. Its large community support makes it more reliable.