Streaming Windows Event Logs into the Cybersecurity Lakehouse
Streaming windows events into the Cybersecurity Lakehouse Enterprise customers often ask, what is the easiest and simplest way to send Windows endpoint logs…
Entwicklerblog
Introduction to Analyzing Crypto Data Using Databricks
The market capitalization of cryptocurrencies increased from $17 billion in 2017 to $2.25 trillion in 2021. That’s over a 13,000% ROI in a…
Speed Up Streaming Queries With Asynchronous State Checkpointing
Background / Motivation Stateful streaming is becoming more prevalent as stakeholders make increasingly sophisticated demands on greater volumes of data. The tradeoff, however,…
Build Data and ML Pipelines More Easily With Databricks and Apache Airflow
We are excited to announce a series of enhancements in Apache Airflow’s support for Databricks. These new features make it easy to build…
Announcing General Availability of Databricks Feature Store
Today, we are thrilled to announce that Databricks Feature Store is generally available (GA)! In this blog post, we explore how Databricks Feature…
How Wrong Is Your Model?
In this blog, we look at the topic of uncertainty quantification for machine learning and deep learning. By no means is this a…
Simplifying Change Data Capture With Databricks Delta Live Tables
This guide will demonstrate how you can leverage Change Data Capture in Delta Live Tables pipelines to identify new records and capture changes…
Model Evaluation in MLflow
Many data scientists and ML engineers today use MLflow to manage their models. MLflow is an open-source platform that enables users to govern…
Supercharge Your Machine Learning Projects With Databricks AutoML — Now Generally Available!
Machine Learning (ML) is at the heart of innovation across industries, creating new opportunities to add value and reduce cost. At the same…
Building a Geospatial Lakehouse, Part 2
In Part 1 of this two-part series on how to build a Geospatial Lakehouse, we introduced a reference architecture and design principles to…
