GraphQL: Thinking Beyond the Technology
tl;dr Frontend developers need to start building their own servers, for the sake of both their end-users and themselves. GraphQL is a great way to do it.
tl;dr Frontend developers need to start building their own servers, for the sake of both their end-users and themselves. GraphQL is a great way to do it.
AppSync integrates seamlessly with a DynamoDB database. And as demonstrated in my previous article, AWS Amplify CLI can create the DynamoDB tables and generate the API CloudFormation infrastructure from an annotated GraphQL schema. However, using a relational data source with AppSync is more complex as...
_YYYYMMDD
suffix pattern just like everyone else. This works fine, but it's quite cumbersome, has some hard limits, and your SQL can quickly becomes unruly.
Then about a year ago, the BigQuery team released ingestion time partitioning. This allowed users to partition tables based on the load/arrival time of the data, or by explicitly stating the partition to load the data into (using the $
syntax). By using the _PARTITIONTIME
pseudo-column, users were more easily able to craft their SQL, and save costs by only addressing the necessary partition(s). It was a major milestone for the BigQuery engineering team, and we were quick to adopt it into our data pipelines. We rejoiced and gave each other a lot of high-fives.
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“It’s the leadership that makes Shine a great place to work. The founders of Shine are…wait for it…’real people’! I have always felt that they are genuinely caring of their staff – approachable, honest, open. They definitely want to see their staff be the best they can be and provide the support and guidance needed to do just that. I love working here.”