Data.Police.UK
Open data about crime and policing in England, Wales and Northern Ireland.
Integrate the Data.Police.UK API with the Snowflake API
Setup the Data.Police.UK API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Data.Police.UK and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Data.Police.UK with Snowflake#
Popular Data.Police.UK and Snowflake Triggers#
Emit new event when a new crime is reported in a specific area.
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a specific street level crime is updated.
Popular Data.Police.UK and Snowflake Actions#
Get a list of police forces and contact information within a particular area. See the docs here
Access the specific outcomes of reported crimes within a given location and date range. See the docs here
Obtain crime data for a specific location and date range. See the docs here
Overview of Data.Police.UK#
The Data.Police.UK API provides access to a wide array of UK crime data, allowing users to query information about street-level crimes, outcomes, and the location of police stations. You can leverage this data within Pipedream to build automated workflows that react to new data, analyze crime trends, or integrate with other services to enhance public awareness and safety. With Pipedream, you can create serverless workflows that connect Data.Police.UK API with other apps to streamline tasks, generate reports, or trigger alerts based on crime data.
Connect Data.Police.UK#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
data_police_uk: {
type: "app",
app: "data_police_uk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://data.police.uk/api/forces`,
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})