hudi
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hudi | debezium | |
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20 | 80 | |
5,053 | 9,857 | |
2.0% | 2.0% | |
9.9 | 9.9 | |
5 days ago | 2 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hudi
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Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake.
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The "Big Three's" Data Storage Offerings
Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond).
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Data-eng related highlights from the latest Thoughtworks Tech Radar
Apache Hudi
- For those of you with Lakehouse Architectures, how do you handle duplicate records?
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AWS ACID data lakehouse
Try Apache Hudi, it is fully integrated with AWS and offers almost everything that you requested.
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Data n00b looking for guidance on how to setup data lake/warehouse
the corresponding kafka topics have 30d retention and I intend on having s3 sink connector for long term storage (open to other ideas here too, I noticed theres a hudi connector also)
- apache/hudi: Upserts, Deletes And Incremental Processing on Big Data.
- Big Data file formats
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How-to-Guide: Contributing to Open Source
Apache Hudi
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What do you use for Data versioning?
You could have a look at Apache Hudi - especially if you're running your Data Pipelines using Spark or Flink.
debezium
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
They manage data in the application layer and your original data stays where it is. This way data consistency is no longer an issue as it was with streaming databases. You can use Change Data Capture (CDC) services like Debezium by directly connecting to your primary database, doing computational work, and saving the result back or sending real-time data to output streams.
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Generating Avro Schemas from Go types
Both of these articles mention a key player, Debezium. In fact, Debezium has had a place in the modern infrastructure. Let's use a diagram to understand why.
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debezium VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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How the heck do I validate records with this kind of data??
This might be overkill, but you could use an extra tool like https://debezium.io to capture logs about all creates, updates, and deletes in your table
- All the ways to capture changes in Postgres
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Managed Relational Databases with AWS RDS and Aurora
If you're considering a relational database for an event-driven architecture, check out Debezium. It lets you stream changes to relational databases, and subscribe to change events.
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Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave
Debezium
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Postgresql to hadoop in real time
https://debezium.io/ comes to mind as an open source product, but there are a gazillion of these tools out there.
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ClickHouse Advanced Tutorial: Apply CDC from MySQL to ClickHouse
Contrary to what it sounds, it’s quite straightforward. The database changes are captured via Debezium and published as events on Apache Kafka. ClickHouse consumes those changes in partial order by Kafka Engine. Real-time and eventually consistent.
- Debezium: Stream Changes from Your Database
What are some alternatives?
iceberg - Apache Iceberg
maxwell - Maxwell's daemon, a mysql-to-json kafka producer
kudu - Mirror of Apache Kudu
kafka-connect-bigquery - A Kafka Connect BigQuery sink connector
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
pinot - Apache Pinot - A realtime distributed OLAP datastore
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.
Apache Avro - Apache Avro is a data serialization system.