materialize-tutorials
Trino
materialize-tutorials | Trino | |
---|---|---|
10 | 44 | |
82 | 9,576 | |
- | 1.8% | |
4.5 | 10.0 | |
9 months ago | 5 days ago | |
Python | Java | |
- | Apache License 2.0 |
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materialize-tutorials
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Building a live chart with Deno, WebSockets, Chart.js and Materialize
You can find the code in the backend directory.
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Serverless Node.js URL Shortener App powered by Upstash Kafka and Materialize
Materialize Docs
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How to manage your Materialize migrations with Laravel Zero?
To learn more about Materialize, check out the official Materialize documentation.
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How to use server-sent events (SSE) with FastAPI?
For the demo project, we are using the [TAIL](https://materialize.com/docs/sql/tail/#conceptual-framework) statement. TAIL streams updates from a source, table, or view as they occur which allows you to query the data as it is being updated and is a perfect fit for the SSE example.
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How to use FastAPI with Materialize for real-time data processing
git clone https://github.com/bobbyiliev/materialize-tutorials.git
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Decoupled Microservices Architecture with Materialize
How to join MySQL and Postgres in a live materialized view
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How to connect Laravel to Materialize and build a live dashboard?
Laravel and Materialize demo project
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How to create a simple event streaming in Laravel?
Laravel EventStream: Real-time stock trades dashboard with Laravel and Materialize
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How to use dbt with Materialize and Redpanda
You can find the files for this demo in this GitHub repository here.
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How to build AdonisJS API to store your Raspberry Pi Temperature
AdonisJS API - Raspberry Pi Temperature
Trino
- Trino: Fast distributed SQL query engine for big data analytics
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Game analytic power: how we process more than 1 billion events per day
We decided not to waste time reinventing the wheel and simply installed Trino on our servers. It’s a full featured SQL query engine that works on your data. Now our analysts can use it to work with data from AppMetr and execute queries at different levels of complexity.
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Your Thoughts on OLAPs Clickhouse vs Apache Druid vs Starrocks in 2023/2024
DevRel for StarRocks. Trino doesn't have a great caching layer (https://github.com/trinodb/trino/pull/16375) and performance (https://github.com/trinodb/trino/issues/14237) and https://github.com/oap-project/Gluten-Trino. In benchmarks and community user testing, StarRocks has outperformed.
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Making Hard Things Easy
What if my SQL engine is Presto, Trino [1], or a similar query engine? If it's federating multiple source databases we peel the SQL back and get... SQL? Or you peel the SQL back and get... S3 + Mongo + Hadoop? Junior analysts would work at 1/10th the speed if they had to use those raw.
[1] https://trino.io/
- Trino, a open query engine that runs at ludicrous speed
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Questions about Athena, Trino and Iceberg
The good thing is that the concepts in terms to the SQL supported by Trino transfers between them all. So its completely reasonable to start with one and move to another. In fact that is something that happens regularly. I invite to you check out the talks from the Trino Fest event that is just wrapping up today. There are presentations about all these aspects and different scenarios users encounter. All videos and slides will go live on the Trino website soon. Also feel free to join the Trino slack to chat about about all this with other users.
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Multi-Databases across Multiple Servers - MySQL
There are distributed query engines like Trino that help with this sort of problem https://trino.io/
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Iceberg on Cloudtrail Logs with Athena
This issue in particular is a killer for me: https://github.com/trinodb/trino/issues/10974
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Data Lake, Real-time Analytics, or Both? Exploring Presto and ClickHouse
AFAIK Presto was forked and Trino https://trino.io/ is now the leading SQL Query engine .
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Apache Iceberg as storage for on-premise data store (cluster)
Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie.
What are some alternatives?
materialize - The data warehouse for operational workloads.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
mzschema - Laravel Zero app to help you manage your Materialize migrations
dremio-oss - Dremio - the missing link in modern data
CodexDB - CodexDB generates code for SQL query processing via OpenAI's GPT-3 Codex model.
Presto - The official home of the Presto distributed SQL query engine for big data
cf-url-shortener - URL Shortener Cloudflare function that uses Upstash Redis and Kafka along with https://materialize.com
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Apache Calcite - Apache Calcite
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
ClickHouse - ClickHouse® is a free analytics DBMS for big data