This article was first published on Ethereum Classic - Medium
This means that now, it’s more easier than ever to query the Ethereum Classic network using regular SQL which allows for more seamless data analysis. You can also download the datasets directly in Kaggle to use in your notebooks for analysis.
Why is this a Big Deal?
Blockchains are most accessible to cryptography and blockchain engineers, who are most familiar with the inner workings of the client and viewing the data. On the finance side, analysts mostly observe market data. For your average data scientist or entrepreneur who wants to do quick analysis of block data, they’re stuck with running their own Geth or Parity node and trying to parse it. Even if that’s successful, they need to continue doing so to keep up to date with more recent Ethereum Classic data.
With the Ethereum Classic dataset being constantly available on Google BigQuery and continuously updating daily, researchers, entrepreneurs and stakeholders can quickly analyze Ethereum Classic’s network and blocks without having to worry about the data engineering aspects or their cloud infrastructure or node setups. They can just focus on the data science and let us do all the rest!
How Did This Project Come About?
We at the ETC Cooperative always believed the most important stories can be told with data, and Ethereum Classic is no exception. We were planning on quantifying Ethereum Classic’s decentralization for a while now, along with many other analysis we want to explore. For your average data scientist, getting blockchain data can be tricky, if not daunting.
It immediately seemed clear to us there was no easy way to query Ethereum Classic’s blockchain history, so we set about ...
To keep reading, please go to the original article at:
Ethereum Classic - Medium