If you’ve ever had to migrate your data warehouse to a new platform or account, then you know how time-consuming and painful this can be. Recently, I’ve had to migrate my data from one Snowflake account to another, reconfiguring all of the data ingestion pipelines and orchestration. You quickly realize how one little change can (and will) break everything in your data pipeline.
Is self-service a lie? I know - another provocative title, however it's about some of the challenges and pitfalls of MDS setup. By the CEO of Monte Carlo, about an interesting discussion that recently took place in NY. Take a look.
Read the step-by-step guide which will help you to deploy MLflow instances on the Google Cloud Platform using App Engine. In the article, Marcin Zabłocki has described how to:
With the statistical methods in place to evaluate business metrics in near real-time, we can now detect problems that were invisible to Spinnaker, or required too much lead time to rely on traditional ERF experiments.
The five pillars of ML data intelligence are:
This new release includes full support for Apache Flink, a lot of improvements to user experience and a new visual brand identity for Ververica.
Some of the fifteen most impactful trends in 2022:
Lauren Balik argues that the Modern Data Stack is already dying, that this is a flawed concept and should be replaced with the “Postmodern Data Stack” that she defines… Do you agree? We advise you to go through the comments.
The following guide demonstrates the key steps to configuring Power BI reporting from Cloud SQL.
As ML engineers, you often work on providing the Jupyter environment for Data Science teams, so you probably know that providing a platform that is both flexible and cost-effective is a challenge. In this video, you can learn about the different Jupyter setups, their pros and cons and listen to the lessons we learned.
Kubeflow is an excellent platform if your team is already leveraging Kubernetes and allows for a truly collaborative experience. In this episode, Ryan Russon talks about the pros and cons of using Kubeflow in your MLOps.
Inbar Yogev and Lior Winner share the Data Platform’s Journey that Riskified have been on and talk about how they have established a guild system for training and supporting data professionals in the organization.