Since they emerged in 2009, cryptocurrencies have experienced their share of volatility—and are a continual source of fascination. In the past year, as part of the BigQuery Public Datasets program, Google Cloud released datasets consisting of the blockchain transaction history for Bitcoin and Ethereum, to help you better understand cryptocurrency. Today, we're releasing an additional six cryptocurrency blockchains.

Scheduled Snapshots now supports both JPG and PDF formats. Now, your team and/or clients will receive your reports in a way that’s accessible, no matter what.

In Yellowfin 8, we have enhanced how our clustering infrastructure functions. If you have Yellowfin set up on a clustered environment, then you may be aware of how advantageous this can be.

Recently, they’ve made a name for themselves offering experiences, like events and travel, at heavily discounted rates. To delve into why they’ve been such a success, we have to look at one of the cornerstones of their company – their approach to data.

Two weeks ago, we ran the annual market trends webinar. As I’m dealing with the aftermath, or “postmortem”, I’m still overwhelmed by the response to it. It clearly struck a chord (or nerve), as displayed by record attendance numbers, and the sheer interaction on and offline. There were far too many questions – over 300 – to cover off in a blog.

We polled ecommerce marketers to uncover the most effective channels for promoting a new online store. Here are the channels and tactics they recommend most.

Financial institutions have a natural desire to predict the volume, volatility, value or other parameters of financial instruments or their derivatives, to manage positions and mitigate risk more effectively. They also have a rich set of business problems (and correspondingly large datasets) to which it’s practical to apply machine learning techniques.

We use these buzzwords everyday but how accurate are they really?