dbt
Apache Kafka
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dbt | Apache Kafka | |
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1 | 26 | |
3,802 | 27,335 | |
- | 1.5% | |
10.0 | 9.9 | |
over 2 years ago | about 20 hours ago | |
Python | Java | |
Apache License 2.0 | Apache License 2.0 |
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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.
dbt
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Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
Due to the rise in cloud-based data warehouses, businesses can directly load all the raw data into the data warehouse without prior transformations. This process is known as ELT (Extract, Load, Transform) and gives data and analytics teams freedom to develop ad-hoc transformations based on their particular needs. ELT became popular as the cloud's processing power and scale became better suited to transforming data. DBT (website, GitHub) is a popular open-source tool recommended for ELT and allows businesses to transform data in their warehouses more effectively. It's a great pairing with with RudderStack's Cloud Extract ETL tool.
Apache Kafka
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On Implementation of Distributed Protocols
Apache Kafka — a distributed event streaming platform implementing a variant of the Raft consensus protocol (written in Java, integrated with Scala);
- Implementing tagged fields for Kafka Protocol
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Help me identify this design pattern
Spring does this during autoconfiguration. For example this and this. When the user adds a configuration then it gets to overwrite the default from the template. I am looking for something similar, perhaps simpler approach.
- Kafka Broker Config properties
- Scala DevInTraining looking to contribute to projects
- *bip*
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What is Kafka ?
Source and documentation on GitHub
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A simple file source/sink connector?
Code is still in trunk though. https://github.com/apache/kafka/tree/trunk/connect/file/src/main/java/org/apache/kafka/connect/file
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Can someone please eli5 how the hierarchical timing wheel algorithm works?
I briefly described the algorithm in this article and there is a wonderful article from Kafka that goes into more depth in their general purpose implementation. My implementation is specialized and over optimized in comparison, e.g. by using bit manipulation to avoid more expensive division/modulus instructions. Tokio rewrote their timerwheel after I showed them mine, borrowing some ideas but also staying more general. Hope that helps!
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How-to-Guide: Contributing to Open Source
Apache Kafka
What are some alternatives?
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
celery - Distributed Task Queue (development branch)
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Apache ActiveMQ Artemis - Mirror of Apache ActiveMQ Artemis
Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
nbdev - Create delightful software with Jupyter Notebooks
jetstream - JetStream Utilities
rudderstack-docs - Documentation repository for RudderStack - the Customer Data Platform for Developers.
Aeron - Efficient reliable UDP unicast, UDP multicast, and IPC message transport
ClickHouse - ClickHouse® is a free analytics DBMS for big data
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.