kcat
dbt-databricks
kcat | dbt-databricks | |
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18 | 15 | |
5,283 | 186 | |
- | 4.8% | |
0.0 | 9.5 | |
5 months ago | 8 days ago | |
C | Python | |
GNU General Public License v3.0 or later | 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.
kcat
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JR, quality Random Data from the Command line, part I
So, is JR yet another faking library written in Go? Yes and no. JR indeed implements most of the APIs in fakerjs and Go fake it, but it's also able to stream data directly to stdout, Kafka, Redis and more (Elastic and MongoDB coming). JR can talk directly to Confluent Schema Registry, manage json-schema and Avro schemas, easily maintain coherence and referential integrity. If you need more than what is OOTB in JR, you can also easily pipe your data streams to other cli tools like kcat thanks to its flexibility.
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Deploy Apache Kafka® on Kubernetes
This deployment creates a kcat container we can use to produce and consume messages.
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How to Build a Kafka Producer in Rust with Partitioning
Now we don't see any additional output. To verify it worked, let's use kafkacat to consume the topic's events. (We install kafkacat in the Dev Container. Please run the following command in VSCode's terminal)
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Apache Kafka: A Quickstart Guide for Developers
Before we come to an end here, let's explore one additional helpful tool: kcat (formerly known as kafkacat).
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AdTech using SingleStoreDB, Kafka and Metabase
Let's look at the data in the ad_events topic from the Kafka broker and see if we can identify the problem. We'll install kcat (formerly kafkacat):
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Getting Started as a Kafka Developer
kcat (formerly KafkaCat) - https://github.com/edenhill/kcat
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Your Experience Learning and Implementing Kafka
Start with multiple consumers and produce events (this gives a sense about consistency or need for reliable data) - Producer could be command line or kafkacat
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Running Apache Kafka on Containers
kcat is an awesome tool to make our life easier, it allows us to read and write from kafka topics without tons of scripts and in a more user-friendly way.
- Unreadable data/log files created by Kafka Producer
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⌨️ Pipe xlsx files into/from Kafka... From cli with (k)cat 🙀
kcat
dbt-databricks
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Curious if anyone has adopted a stack to do raw data ingestion in Databricks?
Our current data infra looks a little something like this: 1. Airbyte deployed on EKS for supported data connectors. I’m using the alpha Databricks connector to load directly into Unity Catalog. 1a. S3 bucket for raw landing zone storage if we cannot directly load into Databricks Managed Tables. 2. Orchestration, storage, and transformations are in Databricks. Calling out to the Airbyte api in the EKS cluster to keep all orchestrations inside Databricks. 2a. databricks-dbt for transformations & cleaning.
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dolly-v2-12b
dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)
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Any suggestions for building DBT project on DataBricks?
Read this https://github.com/databricks/dbt-databricks
- dummy
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Clickstream data analysis with Databricks and Redpanda
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose.
- Next step for my career..
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DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake.
- Would you use dbt with databricks? If so, why?
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Welcome, DataEngHack online!
databricks
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A Quick Start to Databricks on AWS
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward.
What are some alternatives?
kafka-python - Python client for Apache Kafka
dbt-spark - dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks
rskafka - A minimal Rust client for Apache Kafka
Neo4j - Graphs for Everyone
librdkafka - The Apache Kafka C/C++ library
Trino - Official repository of Trino, the distributed SQL query engine for big data, former
console - Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
templates - Repository for Dev Container Templates that are managed by Dev Container spec maintainers. See https://github.com/devcontainers/template-starter to create your own!
sql_to_ibis - A Python package that parses sql and converts it to ibis expressions
jr - JR: streaming quality random data from the command line
nutter - Testing framework for Databricks notebooks