Data Exfiltration Protection with Azure Databricks
In the previous blog, we discussed how to securely access Azure Data Services from Azure Databricks using Virtual Network Service Endpoints or Private Link. Given a baseline of those best practices, in this article we walkthrough detailed steps on how to harden your Azure Databricks deployment from a network security perspective in order to prevent...
New Methods for Improving Supply Chain Demand Forecasting
Organizations Are Rapidly Embracing Fine-Grained Demand Forecasting Retailers and Consumer Goods manufacturers are increasingly seeking improvements to their supply chain management in order to reduce costs, free up working capital and create a foundation for omnichannel innovation. Changes in consumer purchasing behavior are placing new strains on the supply chain. Developing a better understanding of...
On-Demand Webinar: Granular Demand Forecasting At Scale
We recently hosted a live webinar — How Starbucks Forecasts Demand at Scale with Facebook Prophet and Databricks — During this webinar we learnt why Demand Forecasting is critical to Retail/ CPG firms and how it enables 22 other use cases. Brendan O’Shaughnessy, Data Science Manager at Starbucks walked us through how Starbucks does demand...
How to Display Model Metrics in Dashboards using the MLflow Search API
Machine learning engineers and data scientists frequently train models to optimize a loss function. With optimization methods like gradient descent, we iteratively improve upon our loss, eventually arriving at a minimum. Have you ever thought: Can I optimize my own productivity as a data scientist? Or can I visually see the progress of my training...
Automating Digital Pathology Image Analysis with Machine Learning on Databricks
With technological advancements in imaging and the availability of new efficient computational tools, digital pathology has taken center stage in both research and diagnostic settings. Whole Slide Imaging (WSI) has been at the center of this transformation, enabling us to rapidly digitize pathology slides into high resolution images. By making slides instantly shareable and analyzable,...
On-Demand Webinar: Geospatial Analytics and AI in the Public Sector
We recently hosted a live webinar — Geospatial Analytics and AI in Public Sector — during which we covered top geospatial analysis use cases in the Public Sector along with live demos showcasing how to build scalable analytics and machine learning pipelines on geospatial data at sale. Geospatial Analytics Webinar Overview Today, government agencies have...
Fine-Grained Time Series Forecasting At Scale With Facebook Prophet And Apache Spark
Advances in time series forecasting are enabling retailers to generate more reliable demand forecasts. The challenge now is to produce these forecasts in a timely manner and at a level of granularity that allows the business to make precise adjustments to product inventories. Leveraging Apache Spark™ and Facebook Prophet, more and more enterprises facing these...
Solving the World’s Toughest Problems with the Growing Open Source Ecosystem and Databricks
We started Databricks in 2013 in a tiny little office in Berkeley with the belief that data has the potential to solve the world’s toughest problems. We entered 2020 as a global organization with over 1000 employees and a customer base spanning from two-person startups to Fortune 10s. In this blog post, let’s take a...
Automate Deployment and Testing with Databricks Notebook + MLflow
Today many data science (DS) organizations are accelerating the agile analytics development process using Databricks notebooks. Fully leveraging the distributed computing power of Apache Spark™, these organizations are able to interact easily with data at multi-terabytes scale, from exploration to fast prototype and all the way to productionize sophisticated machine learning (ML) models. As fast...
Better Machine Learning through Active Learning
Try this notebook to reproduce the steps outlined below Machine learning models can seem like magical savants. They can distinguish hot dogs from not-hot-dogs, but that's long since an easy trick. My aunt's parrot can do that too. But machine-learned models power voice-activated assistants that effortlessly understand noisy human speech, and cars that drive themselves...