Operationalizing Data Pipelines With Snowpark Stored Procedures, Now in Preview

Following the recent GA of Snowpark for our customers on AWS, we’re happy to announce that Snowpark Scala stored procedures are now available in preview to all customers on all clouds. Snowpark provides a language-integrated way to build and run data pipelines using powerful abstractions like DataFrames. With Snowpark, you write a client-side program to describe the pipeline you want to run, and all of the heavy lifting is pushed right into Snowflake’s elastic compute engine.

How to get data from Keboola to Google Data Studio?

Google Data Studio is a beautiful visualization tool that turns your data into compelling story-telling reports. But before you can visualize your data, you have to collect it, clean it, and validate it. This is where Keboola comes in. Keboola is the Data Stack as a Service (DaaS) platform that helps you with all your data operations - from building and automating ETL pipelines to data governance.

Snowpark For Python In 2 Minutes

What if there was a way to enable your entire team to collaborate securely on the same data in a single platform that just works, regardless of language? Snowpark is here to help. Supercharge your data team to securely build scalable, optimized pipelines, and quickly and efficiently execute machine learning workflows while working in Python.

Lenses 5.0: The developer experience for mass Kafka adoption

Kafka is a ubiquitous component of a modern data platform. It has acted as the buffer, landing zone, and pipeline to integrate your data to drive analytics, or maybe surface after a few hops to a business service. More recently, though, it has become the backbone for new digital services with consumer-facing applications that process live off the stream. As such, Kafka is being adopted by dozens, (if not hundreds) of software and data engineering teams in your organization.

6 SAP companies driving business results with BigQuery

Digital technology promises transformative results. Yet, it’s not uncommon to encounter potholes and speed bumps along the way. One area that frequently trips up businesses is putting data into action. It can be extraordinarily difficult to take advantage of the right data at exactly the right time — in real time — to drive decision-making. For SAP customers wanting to maximize the value of their data, Google Cloud offers a number of capabilities.