OpenWhisk
delta
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OpenWhisk | delta | |
---|---|---|
17 | 69 | |
6,363 | 6,874 | |
0.7% | 2.2% | |
7.3 | 9.8 | |
9 days ago | 6 days ago | |
Scala | Scala | |
Apache License 2.0 | 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.
OpenWhisk
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The 2024 Web Hosting Report
Serverless functions are now offered by many cloud providers, as well as having options like OpenFaaS, Knative, Apache's Openwhisk and more from the open source community that run in environments ranging from one server all the way up to globally replicated private clusters.
- Why is Scala considered niche when so many large apache foundation projects use it? Why was that language chosen?
- Does an open source 'backend platform' exist for dotnet?
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I need a custom resource somewhere between a job and cron job -- does it exist?
OpenWhisk - https://openwhisk.apache.org
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My first serverless function on DigitalOcean
The serverless functions with Digital Ocean are based on Apache Open Whisk, so the service has additional name space, which need to go into the URL.
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run a RestAPI on Every container?
The two biggest options are OpenWhisk and OpenFaas. Check out /r/serverless for more options. I'm experimenting currently with OpenFaas as it's the lighter weigh to of the two.
- Serverless functions
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which is best open source alternative to lamda
If you meant lambda for cloud functions provided by Amazon then this is open source and free, as long as you host it yourself: https://openwhisk.apache.org/
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What companies/startups are using Scala (open source projects on github)?
There are so many of them in big data, e.g. Kafka, Spark, Flink, Delta, Snowplow, Finagle, Deequ, CMAK, OpenWhisk, Snowflake, TheHive, TVM-VTA, etc.
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DigitalOcean Functions: A powerful serverless computing solution
The foundation is Apache OpenWhisk https://github.com/apache/openwhisk with DO specific customization to work with managed databased, log shipping, and other DO specific capabilities. The closest programming model is AWS Lambda in terms of the semantics and execution model.
delta
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Delta Lake vs. Parquet: A Comparison
Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it.
I think the website is here: https://delta.io
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Understanding Parquet, Iceberg and Data Lakehouses
I often hear references to Apache Iceberg and Delta Lake as if they’re two peas in the Open Table Formats pod. Yet…
Here’s the Apache Iceberg table format specification:
https://iceberg.apache.org/spec/
As they like to say in patent law, anyone “skilled in the art” of database systems could use this to build and query Iceberg tables without too much difficulty.
This is nominally the Delta Lake equivalent:
https://github.com/delta-io/delta/blob/master/PROTOCOL.md
I defy anyone to even scope out what level of effort would be required to fully implement the current spec, let alone what would be involved in keeping up to date as this beast evolves.
Frankly, the Delta Lake spec reads like a reverse engineering of whatever implementation tradeoffs Databricks is making as they race to build out a lakehouse for every Fortune 1000 company burned by Hadoop (which is to say, most of them).
My point is that I’ve yet to be convinced that buying into Delta Lake is actually buying into an open ecosystem. Would appreciate any reassurance on this front!
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Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake.
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[D] Is there other better data format for LLM to generate structured data?
The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json.
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Delta vs Iceberg: make love not war
Delta 3.0 extends an olive branch. https://github.com/delta-io/delta/releases/tag/v3.0.0rc1
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Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
Databricks provides Jupyter lab like notebooks for analysis and ETL pipelines using spark through pyspark, sparkql or scala. I think R is supported as well but it doesn't interop as well with their newer features as well as python and SQL do. It interfaces with cloud storage backend like S3 and offers some improvements to the parquet format of data querying that allows for updating, ordering and merged through https://delta.io . They integrate pretty seamlessly to other data visualisation tooling if you want to use it for that but their built in graphs are fine for most cases. They also have ML on rails type through menus and models if I recall but I typically don't use it for that. I've typically used it for ETL or ELT type workflows for data that's too big or isn't stored in a database.
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The "Big Three's" Data Storage Offerings
Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond).
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Ideas/Suggestions around setting up a data pipeline from scratch
As the data source, what I have is a gRPC stream. I get data in protobuf encoded format from it. This is a fixed part in the overall system, there is no other way to extract the data. We plan to ingest this data in delta lake, but before we do that there are a few problems.
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Medallion/lakehouse architecture data modelling
Take a look at Delta Lake https://delta.io, it enables a lot of database-like actions on files
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CSV or Parquet File Format
I prefer parquet (or delta for larger datasets. CSV for very small datasets, or the ones that will be later used/edited in Excel or Googke sheets.
What are some alternatives?
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
dvc - 🦉 ML Experiments and Data Management with Git
fn - The container native, cloud agnostic serverless platform.
Apache Cassandra - Mirror of Apache Cassandra
aws-lambda-swoole-runtime - λ Run PHP Coroutines & Fibers as-a-Service on the AWS Lambda.
lakeFS - lakeFS - Data version control for your data lake | Git for data
open-lambda - An open source serverless computing platform
hudi - Upserts, Deletes And Incremental Processing on Big Data.
Packagist - Package Repository Website - try https://packagist.com if you need your own -
delta-rs - A native Rust library for Delta Lake, with bindings into Python
WordPress Packagist - WordPress Packagist — manage your plugins with Composer
iceberg - Apache Iceberg