Hackster VS Materialize

You'll find on our website a lot of info regarding this laptop + we are working on a Hackster.io page to share our journey through devlogs :). Source: 8 months ago

Note that I could not find much documentation on references written on these components and that I am pretty new to electronics but it's something I'm interested in and I love to experiment (I have already went through hackster.io and instructables.com tutorials). Source: about 1 year ago

Something like the Gemma M0 or one of the Feather boards would work pretty well depending on what kind of connectivity you want. They both have JST connectors to connect a rechargable battery and the Gemma already has a single NeoPixel onboard. The Learn section on Adafruit or hackster.io both have excellent guides on running projects with either board. Source: over 1 year ago

I say this because learning Python and R are cool, but learning them in a traditional academic framework might not be as fulfilling or as productive as looking up some of the wild projects on hackaday.com, hackster.io, and instructables.com. If you start looking at these, they can really broaden your lens of what is possible, while at the same time offering projects that are more fun than rote coding exercises. Source: over 1 year ago

The website https://randomnerdtutorials.com has a lot of good stuff to get you going. A lot of the more advanced projects are on https://hackster.io. Source: over 1 year ago

To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / 3 months ago

Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views. https://github.com/timelydataflow/differential-dataflow. - Source: Hacker News / 7 months ago

Materialize | Full-Time | NYC Office or Remote | https://materialize.com Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that... - Source: Hacker News / 7 months ago

Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/ You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. That is Materialize, the only true SQL... - Source: Hacker News / 11 months ago

Materialize | NY, NY | https://materialize.com/ The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing. Cloud team openings: https://grnh.se/0ad6ab6b4us Senior PM openings: https://grnh.se/415c267f4us. - Source: Hacker News / about 1 year ago