Developer Documentation

# Let's Data : Focus on the data - we'll manage the infrastructure!

Cloud infrastructure that simplifies how you process, analyze and transform data.

Downloads

Interface JAR

Ready to tryout #Let's Data? Download our data interface jar and get started with developing User Data Handlers for the usecases!

Here are some quick instructions to get your dev environment ready:

Download the letsdata-data-interface JAR
Download the letsdata-data-interface sources JAR
Add the downloaded JAR to your developer machine's local maven repository using the following command:
Import the JAR in your project's maven dependencies in the pom.xml:
Refer to the Interface Docs, Interface Code on Git Hub and start developing!
To test your implementation, create a manifest file with 1 or 2 tasks and run it on #Let's Data by creating a test dataset using either the cli or the website. Look at the datasets, tasks, logs, metrics and errors to fix any issues in the dev docs.
- Fix any JAR issues and update the existing dataset's code to use the new JAR to quickly iterate on developer errors
- Task Redrives can rerun any failed tasks and can be created via the website / cli
Once you are satisfied with the test runs, create a new dataset with manifest file containing the entire dataset tasks and be amazed at how well the system scales!

CLI

letsdata cli is a fully functional super convenient way to manage #Let's Data resources. With simplified commmands, you can create datasets, view tasks, redrive errors, list and view logs and download your metric data with ease. (Metrics are better viewed on the website, everything else is better in the cli IMHO)

Here are some quick instructions to get started with cli:

Download the letsdata-cli.tar.gz file
Unzip using the following command, this should create a letsdata-cli directory which has the cli JAR file and the letsdata.sh script
Run the letsdata file (Assumes JAVA is installed on the machine and JAVA_HOME is in the path)
The help commands work out of the box requiring no login. To manage resources, view datasets/tasks, you'll need a #Let's Data username and password. You can signup here
Happy datasetting!!!!

Getting Started Examples

Consider looking at Examples on step by step getting started instructions on creating a dataset.