wallet
dbt-core
wallet | dbt-core | |
---|---|---|
23 | 86 | |
164 | 8,985 | |
4.3% | 3.0% | |
9.9 | 9.7 | |
7 days ago | 4 days ago | |
TypeScript | Python | |
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.
wallet
- Valora | A mobile payments app that works worldwide | $AMP Verified Coming SOON
- Is there any open-source high-traffic, enterprise React application written in TypeScript with best practices?
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Celo: Financial Prosperity for Everyone | Hex Trust
What really makes the Celo protocol stand out is its ability to solve two fundamental barriers to using crypto as a means of payment: ease of use and purchasing power volatility. The mobile-first Valora wallet built on Celo is a social payment application-oriented around overcoming these exact barriers through phone number verification and stable-value assets. Crypto addresses are linked to using mobile phone numbers, making crypto transactions as easy as sending a text message. The application also provides minimal volatility of assets through the use of stablecoins, countering any concerns of payment made with volatile assets. Access to other dApps in the Celo ecosystem, decentralized exchanges, lending opportunities within DeFi, and exploration of NFT collections are all available on the same platform — facilitating interoperability and enhancing user experience.
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Pilot Spotlight: How Celo and Mercy Corps Ventures Partnered to Benefit Microworkers in Kenya
The initial training, conducted by local partner, NairoBits, provided participants with guidance on cryptocurrency and cUSD transactions, how to complete microwork tasks, and how to cash out earnings to M-Pesa. After that phase, all 200 Kenyan participants went on to complete digital microwork tasks provided by Appen via the Toca app (now Corsali). Within a few seconds of completing their tasks in Corsali, participants were paid in cUSD. After linking their Corsali account to the Valora.app, a popular cryptocurrency wallet built on Celo, participants were able to transfer their earnings into Valora for a fee of only 0.02%, regardless of transaction size.
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Valora Supercharge: 25% APY on Celo stablecoins! (up to $/€1000)
All you have to do is download the Valora app, a Celo wallet, and fund it by buying cUSD or cEUR, which you can do from the app directly.
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Get Your Dapp Featured in Valora (4 dapps will also receive 10k cUSD)
Valora Deeplinks for integrating with Valora
- Solana Pay , Phantom, Citcon, Wormhole....
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Best places to receive some yield on stablecoins ?
you can get 50% APY on cUSD (USD stablecoin on celo) or cEUR (EUR stablecoin on celo) using the Valora wallet on the Celo blockchain. Can learn more on the blog
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Crypto Christmas !? How should I gift crypto to family ? Which coin ?
Gift them Celo using Valora. You can send them money even if they don’t have a wallet yet by sending it to their phone number.
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What is the Celo mobile-first DeFi platform?
Download a mobile-first wallet or Celo wallet and start using Celo ecosystem. Metamask is appropriate for DeFi dapps.
dbt-core
- Dbt
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Relational is more than SQL
dbt integration was one of our major goals early on but we found that the interaction wasn't as straightforward as had hoped.
There is an open PR in the dbt repo: https://github.com/dbt-labs/dbt-core/pull/5982#issuecomment-...
I have some ideas about future directions in this space where I believe PRQL could really shine. I will only be able to write those down in a couple of hours. I think this could be a really exciting direction for the project to grow into if anyone would like to collaborate and contribute!
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How to Level Up Beyond ETLs: From Query Optimization to Code Generation
> Could you share more specific details? Happy to look over / revise where needed.
Sure thing! I'd say first off, the solutions may look different for a small company/startup vs. a large enterprise. It can help if you explain the scale at which you are solving for.
On the enterprise side of things, they tend to buy solutions rather than build them in-house. Things like Informatica, Talend, etc. are common for large enterprises whose primary products are not data or software related. They just don't have the will, expertise, or the capital to invest in building and maintaining these solutions in-house so they just buy them off the shelf. On the surface, these are very expensive products, but even in the face of that it can still make sense for large enterprises in terms of the bottom line to buy rather than build.
For startups and smaller companies, have you looked at something like `dbt` (https://github.com/dbt-labs/dbt-core) ? I understand the desire to write some code, but often times there are already existing solutions for the problems you might be encountering.
ORM's should typically only exist on the consumer-side of the equation, if at all. A lot of business intelligence / business analysts are just going to use tools like Tableau and hook up to the data warehouse via a connector to visualize their data. You might have some consumers that are more sophisticated and may want to write some custom post-processing or aggregation code, and they could certainly use ORM's if they choose, but it isn't something you should enforce on them because it's a poor place to validate data since as mentioned there are different ways/tools to access the data and not all of them are going to go through your python SDK.
Indeed in a large enough company, you are going to have producers and consumers that are going to use different tools and programming languages, so it's a little bit presumptuous to write an SDK in python there.
Another thing to talk about, and this probably mostly applies to larger companies - have you looked at an architecture like a distributed data mesh (https://martinfowler.com/articles/data-mesh-principles.html)? This might be something to bring to the CTO more than try to push for yourself, but it can completely change the landscape of what you are doing.
> More broadly is the issue of the gap of what you think the role is, and what the role actually is when you join. There are definitely cases where this is accidental. The best way I can think of to close the gap is to maybe do a short-term contract, but may be challenging to do under time constraints etc.
Yeah this definitely sucks and it's not an enviable position to be in. I guess you have a choice to look for another job or try to stick it out with the company that did this to you. It's possible there is a geniune existential crisis for the company and a good reason why they did the bait-and-switch. Maybe it pays to stay, especially if you have equity in the company. On the other hand, it could also be the case that it is the result of questionable practices at the company. It's hard to make that call.
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Python: Just Write SQL
I really dislike SQL, but recognize its importance for many organizations. I also understand that SQL is definitely testable, particularly if managed by environments such as DBT (https://github.com/dbt-labs/dbt-core). Those who arrived here with preference to python will note that dbt is largely implemented in python, adds Jinja macros and iterative forms to SQL, and adds code testing capabilities.
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Transform Your Data Like a Pro With dbt (Data Build Tool)
3). Data Build Tool Repository.
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What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow.
- How do I build a docker image based on a Dockerfile on github?
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Dbt vs. SqlMesh
Ahh I misunderstood, yes column level lineage is useful. DBT prefers leveraging macros which sort of breaks this pattern. I think the DBT way would be to better separate fields into upstream models and use table tracking https://github.com/dbt-labs/dbt-core/discussions/4458
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DBT core v1.5 released
Here’s the PR, which includes a what/how/why: https://github.com/dbt-labs/dbt-core/issues/7158
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DBT Install
I've attached a link to their documentation. DBT is becoming increasingly popular within the Data Engineering community with over 5k stars on github.
What are some alternatives?
celo-monorepo - Official repository for core projects comprising the Celo platform
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
blackjack-basic-strategy - A computer vision powered Blackjack basic strategy app powered by Roboflow.
metricflow - MetricFlow allows you to define, build, and maintain metrics in code.
hookdeck-cli - Receive events (e.g. webhooks) in your development environment
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
cost-model - Cross-cloud cost allocation models for Kubernetes workloads [Moved to: https://github.com/kubecost/opencost]
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
tesseract - Deterministic physics engine for Argo Navis
citus - Distributed PostgreSQL as an extension
Gravitational Teleport - The easiest, and most secure way to access and protect all of your infrastructure.
dagster - An orchestration platform for the development, production, and observation of data assets.