BigQuery Tag

Do you recoil in horror at the thought of running yet another mundane SQL script just so a table is automatically rebuilt for you each day in BigQuery? Can you barely remember your name first thing in the morning, let alone remember to click "Run Query" so that your boss gets the latest data refreshed in his fancy Data Studio charts, and then takes all the credit for your hard work? Well, fear not my fellow BigQuery'ians. There's a solution to this madness. It's simple. It's quick. Yes, it's Google Apps Script to the rescue. Disclaimer: all credit for this goes to the one and only Felipe Hoffa. He 'da man!
Shine’s TEL group was established in 2011 with the aim of publicising the great technical work that Shine does, and to raise the company’s profile as a technical thought-leader through blogs, local meet up talks, and conference presentations. Each month, the TEL group gather up all the awesome things that Shine folk have been getting up to in and around the community. Here’s the latest roundup from what’s been happening.
Shine’s TEL group was established in 2011 with the aim of publicising the great technical work that Shine does, and to raise the company’s profile as a technical thought-leader through blogs, local meet up talks, and conference presentations. Each month, the TEL group gather up all the awesome things that Shine folk have been getting up to in and around the community. Here’s the latest roundup from what’s been happening.
Shine’s TEL group was established in 2011 with the aim of publicising the great technical work that Shine does, and to raise the company’s profile as a technical thought-leader through blogs, local meet up talks, and conference presentations. Each month, the TEL group gather up all the awesome things that Shine folk have been getting up to in and around the community. Here’s the latest roundup from what’s been happening.
Shine’s TEL group was established in 2011 with the aim of publicising the great technical work that Shine does, and to raise the company’s profile as a technical thought-leader through blogs, local meet up talks, and conference presentations. Each month, the TEL group gather up all the awesome things that Shine folk have been getting up to in and around the community. Here’s the latest roundup from what’s been happening.
I have been using BigQuery for over 2 years now at Shine. I've found it to be a great tool that is both incredibly fast and able to handle some of our largest workloads. We are processing terabytes of data per day, and each day an extra billion records are added to the store. But unfortunately this growth is also increasing our costs of running queries. While BigQuery is extremely fast and parallel, it comes at the cost of needing to scan and pay for every record of the columns you are querying. Without the indexes offered by conventional databases, a full table scan is needed for each query. Not only that but when you query large amounts of data the speed of your query slows down:In this post I'll talk about how we used table partitions to increase the performance of our queries and avoid query slowdowns.

"What the Fudge?"

I use Google BigQuery a lot. On a daily basis I run dozens of queries, use it to build massively scalable data pipelines for our clients, and regularly help new users navigating it for the first time. Suffice it to say I'm somewhat accustomed to its little quirks. Unfortunately, the same can't be said for the new users who are commonly left scratching their heads, and shouting "What the fudge!?" at their monitors. Here's the top three WTFs that I regularly hear from new BigQuery users:

Will this post interest me?

If you use (or intend to use) Google Cloud Dataflow, you've heard about Apache Beam, or if you're simply bored in work today and looking to waste some time, then yes, please do read on. This short post will cover why our team finally took the plunge to start porting some of Dataflow applications (using the 1.x Java SDKs) to the new Apache Beam model (2.x Java SDK). Spoiler - it has something to do with this. It will also highlight the biggest changes we needed to make when making the switch (pretty much just fix some compile errors).
  Shine’s TEL group was established in 2011 with the aim of publicising the great technical work that Shine does, and to raise the company’s profile as a technical thought-leader through blogs, local meet up talks, and conference presentations. Each month, the TEL group gather up all the awesome things that Shine folk have been getting up to in and around the community. Here’s the latest roundup from what’s been happening.