plural
dbt-databricks
plural | dbt-databricks | |
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21 | 15 | |
1,307 | 180 | |
0.8% | 1.7% | |
8.9 | 9.5 | |
8 days ago | 14 days ago | |
TypeScript | 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.
plural
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Curious if anyone has adopted a stack to do raw data ingestion in Databricks?
I’ve just recently found out about plural. Perhaps give them a try? I think they have a cool idea for quickly deploying an ELT infrastructure. Perhaps check them out?
- Self-Hosted Open-Source Alternative to a Managed Service
- Plural - An open-source alternative to managed services
- An open-source alternative to managed services
- GitHub - pluralsh/plural: Deploy open source software on Kubernetes in minutes
- Deploy open-source software on Kubernetes in record time.
- OSS Kubernetes App deployment platform
- Show HN: Plural.sh-Deploy, secure and scale open-source apps on your cloud
- OSS Kubernetes App Deployment platform built on Elixir
- Deploy open-source software in your own Kubernetes cluster within minutes.
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?
werf - A solution for implementing efficient and consistent software delivery to Kubernetes facilitating best practices.
dbt-spark - dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks
kube-fledged - A kubernetes operator for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly
Neo4j - Graphs for Everyone
nixery - Container registry which transparently builds images using the Nix package manager. Canonical repository is https://cs.tvl.fyi/depot/-/tree/tools/nixery
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
kraken - P2P Docker registry capable of distributing TBs of data in seconds
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
docker-volume-hetzner - Docker Volume Plugin for accessing Hetzner Cloud Volumes
sql_to_ibis - A Python package that parses sql and converts it to ibis expressions
k8s-config-connector - GCP Config Connector, a Kubernetes add-on for managing GCP resources
nutter - Testing framework for Databricks notebooks