sqawk
dremio-oss
| sqawk | dremio-oss | |
|---|---|---|
| 1 | 8 | |
| 308 | 1,301 | |
| - | 0.8% | |
| 10.0 | 4.0 | |
| over 2 years ago | 11 days ago | |
| Tcl | Java | |
| MIT License | Apache License 2.0 |
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sqawk
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Q – Run SQL Directly on CSV or TSV Files
"Sqawk is an Awk-like program that uses SQL and can combine data from multiple files. It is powered by SQLite."
https://github.com/dbohdan/sqawk
dremio-oss
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What is the separation of storage and compute in data platforms and why does it matter?
Dremio - Dremio is a data lakehouse based on the open-source Apache Iceberg table format. It offers different compute instances to process data that lives in your S3 bucket. You pay for S3 storage independently.
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What is dremio query engine
Dremio core is actually fully open source: https://github.com/dremio/dremio-oss
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Q – Run SQL Directly on CSV or TSV Files
I have been using Dremio to query large volume of CSV files: https://docs.dremio.com/software/data-sources/files-and-dire...
Although having them in some columnar format is much better for fast responses.
GitHub: https://github.com/dremio/dremio-oss
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Hands-On Introduction to Apache Iceberg - Data Lakehouse Engineering
As a Developer Advocate for Dremio I spend a lot of time doing research on technology and best practices around engineering Data Lakehouses and sharing what I learn through content for Subsurface - The Data Lakehouse Community. One of the major topics I've been diving deep into is the topic of Data Lakehouse Table Formats, these allow you to take the files on your data lake and group them into tables data processing engines like Dremio can operate on.
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Introduction to The World of Data - (OLTP, OLAP, Data Warehouses, Data Lakes and more)
Hearing about all these components sounds great, but what everyone wants isn't to have to setup and configure all these components but instead have a platform and tool that brings this all together in an easy to use package, and that platform is Dremio. With Dremio you can work with the data directly from your data lake. No copies, easy access, high performance.
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Data Lakehouse and Delta Lake
And as u/pych_phd said, it's not just Databricks, Snowflake and Azure who make these claims, even AWS, GCP, Dremio and I'm sure many others are too.
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Data Science Competition
Dremio
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Build your own “data lake” for reporting purposes
For my home projects I generate parquet (columnar and very well suited for DW like queries) files with pyarrow and use https://github.com/dremio/dremio-oss (https://www.dremio.com/on-prem/) to query them on lake (minio or just local disk or s3) and use Apache Superset for quick charts or dashboards.
What are some alternatives?
arrow-flight-client-examples
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
q - q - Run SQL directly on delimited files and multi-file sqlite databases
presto - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io) [Moved to: https://github.com/trinodb/trino]
ClickHouse - ClickHouse® is a free analytics DBMS for big data
textql - Execute SQL against structured text like CSV or TSV
Greenplum - Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.
zsv - zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
lnav - Log file navigator
Rakam - 📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)