In our upcoming webinar, Andriy Okhrimets, CTO at Svitla Systems, will share his rich experience based on working with 40+ startups which earned him a front-row seat to the successes and failures that make or break a startup.
Available on-demand In this webinar, Yan Moiseev, Solutions Architect at Databricks will share machine learning best practices learned from working with Databricks customers on ML use cases across various industries. The talk will cover how to set up machine learning initiatives for success, how to address common challenges, and share customer success stories along the way.
As part of our online learning series, our session on 24 June will walk through an introduction of Databricks Ingest - an easy and efficient way of bringing all your data together from different sources into Delta Lake.
The Databricks Online Learning Series aims to provide data team members with the essentials to understand how unified data analytics can bring data science and engineering together to accelerate your ML efforts.
Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production.
The big data revolution has made it necessary for business leaders to invest in technologies that enable big data analytics. Only decision makers with the best and most informed understanding of their data can set the standard for their business’s success.
There are a multitude of distributed, scale-out data management technologies in the marketplace; but the key is finding a solution that supports a wide range of analytic applications across diverse data types without time-consuming data movement and transformation.