|Google has added ethereum to their big data analytics platform called BigQuery which is more focused to provide a bigger picture / Photo by Mizter_x94 via Pixabay.com|
Google has just added ethereum to their big data analytics platform called BigQuery.
The company stated in a recent blog post that while an API exists for commonly used functions like that of checking transaction status or the user’s wallet balances, it is not that simple to access all of the relevant data that is being stored on the ethereum blockchain.
The post added that “perhaps, more importantly, the API doesn’t allow for viewing blockchain data in aggregate.”
As the new service is more focused to provide a bigger picture for ethereum using big data, Google explained, “A visualization like this…is useful for making business decisions, such as prioritizing improvements for the ethereum architecture itself (is the system running close to capacity and due for an upgrade?) to balance sheet adjustments (how quickly can a wallet be rebalanced?).”
This new system that the company built on its cloud platform does a quite a number of things. One of them is that it synchronizes the ethereum blockchain to specific computers that run Parity. It also pulls data from the ethereum ledger on a regular basis, which includes results from smart contract transactions done by users. What it does essentially is it “de-normalizes and stores date-partitioned data to BigQuery for easy and cost-effective exploration.”
Giving some examples of how this addition may be useful and pique the interest of respective users, Google showcased things like CryptoKitties (a crypto collectibles game) smart contract transactions that are one of the most frequent deals encountered on the ethereum network.
There was also data pertaining to information about cryptocurrency from the bitcoin network that was also added to BigQuery a few months ago. They also wanted to emphasize that if anyone is interested in their new service, they can already check and analyze ethereum’s data using Kaggle.