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Feb 15, 2019 | By Yujin Tang
As the popularity of home automation and the cost of electricity grow around the world, energy conservation has become a higher priority for many consumers. With a number of smart meter devices available for your home, you can now measure and record overall household power draw, and then with the output of a machine learning model, accurately predict individual appliance behavior simply by analyzing meter data.
Feb 7, 2019 | By Felipe Hoffa
Today we are announcing the BigQuery sandbox, a credit-card free path to enable new users and students to experiment with BigQuery at no cost—without having to enter credit card information. As organizations begin to collect more and more data, many find that a serverless data warehouse like BigQuery is the only platform that can scale to meet their needs.
Feb 5, 2019 | By Allen Day
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.
Jan 30, 2019 | By Matt Tait
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.
Jan 15, 2019 | By Daniel Gundrum
As enterprises amass terabytes of complex data, they need tools to house and make better sense of their information. This is why we’ve built BigQuery, to help data analysts deal with large datasets. But not all of us are data wizards. Many of us use spreadsheets to perform ad-hoc analysis.
Jan 17, 2019 | By Google Cloud Platform
To get the best performance out of Cloud Bigtable, it is essential to think about how you compose your row key. In this episode of Cloud Performance Atlas, Colt McAnlis helps some fitness professionals with their Bigtable index performance. Will we have the performance to get an extra workout in? Stay tuned to find out!
Jan 3, 2019 | By Google Cloud Platform
Bigtable is a scalable database service that in order to be as performant as possible, has to be local to a specific region. In this episode of Cloud Performance Atlas, Colt McAnlis helps some high fliers get their bigtable performance under control. Will their performance be cleared for landing? Stay tuned to find out!
Dec 13, 2018 | By Google Cloud Platform
In this episode of Cloud Performance Atlas, Colt McAnlis shows us Bigtable's monitoring UI to find out our performance edge cases. The Monitoring UI automatically reports how your nodes, clusters, and instances are performing in a handy-graph form. Why is this helpful, and how can you get started? Watch to find out!
Nov 26, 2018 | By Google Cloud Platform
Large datasets in BigQuery might make it cost prohibitive to scale dashboard solutions. Unless carefully designed, solutions can lead to queries piling up with repeated viewing and result in significant costs in BigQuery. Google Data Studio lets users build interactive shareable data visualizations using their BigQuery data.