TL;DR We’ve all heard that Lambdas written in Java are slow, but there's more that we developers can do to help improve Java Lambda execution times, especially from a cold start. There can also be significant improvements made from a warm startup. Java's 0.7s cold start time...
Shine's good friend Felipe Hoffa from Google was in Melbourne recently, and he took the time to catch up with our resident Google Developer Expert, Graham Polley. But, instead of just sitting down over a boring old coffee, they decided to take an iconic tram ride...
Waterslide analogy. One input, multiple outputs. Each slide represents a date partition in one table.[/caption]
Do you have some data that needs to be fed into BigQuery but the output must be split between multiple destination tables? Using a Cloud Dataflow pipeline, you could define some side outputs for each destination table you need, but what happens when you want to write to date partitions in a table and you're not sure what partitions you need to write to in advance? It gets a little messy. That was the problem I encountered, but we have a solution. 