dbt-databricks
TimescaleDB
dbt-databricks | TimescaleDB | |
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15 | 82 | |
180 | 16,500 | |
1.7% | 1.0% | |
9.5 | 9.8 | |
15 days ago | about 21 hours ago | |
Python | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
TimescaleDB
- TimescaleDB: An open-source time-series SQL database
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Google Cloud Spanner is now half the cost of Amazon DynamoDB
Don't forget PostgreSQL extensions. For something like a chat log, TimescaleDB (https://www.timescale.com/) can be surprisingly efficient. It will handle partitioning for you, with additional features like data reordering, compression, and retention policies.
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How to setup Postgres master-master cluster.
Offboard it to Postgres specialists like https://www.timescale.com/
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How to Choose the Right MQTT Data Storage for Your Next Project
TimescaleDB{:target="_blank"}: an extension of PostgreSQL that adds time-series capabilities to the relational database model. It provides scalability and performance optimizations for handling large volumes of time-stamped data while maintaining the flexibility of a relational database.
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Why does the presence of a large write-only table in a PostgreSQL database cause severe performance degradation?
Have some experience with https://www.timescale.com in this context
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Opinions and Suggestions for PostgreSQL Extension under Development
What about getting in touch with commercial organisations that have products/services based on PostgreSQL? For example Timescale, EDB, and Citus Data, or really any hosting provider that offers a managed PostgreSQL service.
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I have to do about a million inserts on a table every day that is also under very frequent reads. How should I do that?
There is Timescale.
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Ask HN: It's 2023, how do you choose between MySQL and Postgres?
Friends don't let their friends choose Mysql :)
A super long time ago (decades) when I was using Oracle regularly I had to make a decision on which way to go. Although Mysql then had the mindshare I thought that Postgres was more similar to Oracle, more standards compliant, and more of a real enterprise type of DB. The rumor was also that Postgres was heavier than MySQL. Too many horror stories of lost data (MyIsam), bad transactions (MyIsam lacks transaction integrity), and the number of Mysql gotchas being a really long list influenced me.
In time I actually found out that I had underestimated one of the most important attributes of Postgres that was a huge strength over Mysql: the power of community. Because Postgres has a really superb community that can be found on Libera Chat and elsewhere, and they are very willing to help out, I think Postgres has a huge advantage over Mysql. RhodiumToad [Andrew Gierth] https://github.com/RhodiumToad & davidfetter [David Fetter] https://www.linkedin.com/in/davidfetter are incredibly helpful folks.
I don't know that Postgres' licensing made a huge difference or not but my perception is that there are a ton of 3rd party products based on Postgres but customized to specific DB needs because of the more liberalness of the PG license which is MIT/BSD derived https://www.postgresql.org/about/licence/
Some of the PG based 3rd party DBs:
Enterprise DB https://www.enterprisedb.com/ - general purpose PG with some variants
Greenplum https://greenplum.org/ - Data warehousing
Crunchydata https://www.crunchydata.com/products/hardened-postgres - high security Postgres for regulated environments
Citus https://www.citusdata.com - Distributed DB & Columnar
Timescale https://www.timescale.com/
Why Choose PG today?
If you want better ACID: Postgres
If you want more compliant SQL: Postgres
If you want more customizability to a variety of use-cases: Postgres using a variant
If you want the flexibility of using NOSQL at times: Postgres
If you want more product knowledge reusability for other backend products: Postgres
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Help with timeseries data
TimescaleDB is Postgres with extensions to automatically partition tables for fast processing of time series data.
- Postgres for time-series data
What are some alternatives?
dbt-spark - dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Neo4j - Graphs for Everyone
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
TDengine - TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
sql_to_ibis - A Python package that parses sql and converts it to ibis expressions
GORM - The fantastic ORM library for Golang, aims to be developer friendly
nutter - Testing framework for Databricks notebooks
temporal_tables - Temporal Tables PostgreSQL Extension
bitcoin-etl - ETL scripts for Bitcoin, Litecoin, Dash, Zcash, Doge, Bitcoin Cash. Available in Google BigQuery https://goo.gl/oY5BCQ
pgbouncer - lightweight connection pooler for PostgreSQL