Businesses today have a wealth of information siloed across databases like MongoDB, PostgreSQL, and MySQL, and SaaS applications such as Salesforce, Zendesk, Intercom...
Collecting, storing, and processing customer event data involves unique technical challenges. It's high volume, noisy, and it constantly changes. In the past, these...
This is a collaborative post between Databricks, Hightouch, and Snowplow. We thank Martin Lepka (Head of Industry Solutions at Snowplow) and Alec Haase...
Getting machine-learning systems to production is (still) hard . For many teams, building real-time ML systems that operate on real-time data is still...
This is a collaborative post between Databricks and Stardog. We thank Aaron Wallace, Sr. Product Manager at Stardog, for their contribution. Knowledge Graphs...
This is a collaborative post from Databricks and Anomalo. We thank Amy Reams, VP Business Development, Anomalo, for her contributions. An organization's data...
This is a collaborative post between Confluent and Databricks. We thank Paul Earsy Staff Solutions Engineer at Confluent, for their contributions. In this...