Patch customers connect offline sources like data warehouses, so they can run complex queries with ultra low latency from their application. Today, we're excited to announce our Databricks integration. In just a few minutes, you can connect your cluster, define a dataset over your data lake, and query data from a customer-facing environment. Check out the docs to get started!
Jul
12
Data Packages are code libraries with a live connection to an underlying data source. They provide a powerful interface for querying, access control, versioning, performance optimization and more; over all your data, no matter where it lives. This could be any database or file system.
The Data Package can be installed using a package manager like pip . Then, it's imported like a library dependency into your code, whether that’s a backend service performing machine learning or enrichment tasks, a customer-facing application, or even an external consumer buying access from you directly to build using the package.
A dpm-agent intelligently routes queries submitted by consumers of a Data Package to the appropriate backend source, enforces access policies and applies performance optimizations.
Today, we're excited to announce support for generated Python packages!
Sign up for early access at www.dpm.sh!
Jul
05
Data Packages are code libraries with a live connection to an underlying data source. They provide a powerful interface for querying, access control, versioning, performance optimization and more; over all your data, no matter where it lives. This could be any database or file system.
The Data Package is imported like a library dependency into your code, whether that’s a backend service performing machine learning or enrichment tasks, a customer-facing application, or even an external consumer buying access from you directly to build using the package.
A dpm-agent intelligently routes queries submitted by consumers of a Data Package to the appropriate backend source, enforces access policies and applies performance optimizations.
Today, we're excited to announce support for generated Node.js & TypeScript packages!
Jun
21
Today, upstream schema changes break data pipelines and subsequently break application code. Data Packages prevent this by decoupling the client from the infrastructure to enable stable versions of a dataset to continue being served even if upstream systems have broken.
Next, Data Packages decouple application code from specific data infrastructure so that a dataset can be moved to different storage systems by data teams without impacting application teams.
Finally, Data Package versioning enables rollbacks & proper testing against newer versions - achieving a true CI/CD flow.
Data packages make engineers immediately productive with data by decoupling applications from data infrastructure.
You can read more on our blog, our docs, or get in touch to request access. The alpha release supports Typescript and Python, and the project will be open sourced soon.