CoinGecko
CoinMarketCap
Coinbase
CoinStats
CryptoCompare
TradingView
Blockfolio
CoinWatch
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
CoinGecko Google Cloud DataflowBased on our record, CoinGecko should be more popular than Google Cloud Dataflow. It has been mentiond 46 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The classic strategy: buy the same dollar amount every week, no matter the price. This is what exchanges like Coinbase Recurring Buy and Kraken Dollar-Cost Averaging implement. It's the lowest-skill, lowest-variance approach โ and across 5+ year holding periods it's beaten timed buys by roughly 3-8% annualized on BTC according to historical data. - Source: dev.to / 4 months ago
You can check by googling the URL, I wouldn't recommend a tool If it's an airdrop website or something like that, hard to tell. You'll find the websites of different networks on coinmarketcap.com or coingecko.com ;). Source: about 3 years ago
For lending check out AAVE, for L2 projects Arbitrum is best in this field, Fluid AI is your go-to for liquidity aggregator, better still you can make use of coingecko.com to dyor. Source: about 3 years ago
Coingecko.com still only has it at 45% because of stable coins. Source: about 3 years ago
There are many perks to the extended and default lists, including: token data tracked in SaucerSwap analytics and API, eligibility for listing on CoinGecko and CoinMarketCap, and opportunity for a yield farm. Here is what comes with the extended list:. Source: over 3 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 4 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / over 4 years ago
CoinMarketCap - Crypto-currency market capitalizations.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Coinbase - Bitcoin, safe and easy.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
CoinStats - CoinStats is a cryptocurrency research and portfolio tracker, that allows to access market data on over 3000 cryptocurrencies, track bitcoin and altcoin investments.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
