Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified 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 managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified 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 managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified 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 managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts.
In this workshop we’ll discuss the challenges of big data and share best practices for using Apache Spark in the cloud to simplify and scale data analytics. Additionally, we’ll cover how organizations leverage the Databricks Unified Analytics Platform, Spark and the cloud to power their enterprise data warehouse and machine learning use cases.
Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified 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 managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified 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 managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts.
The Big Data Expo will bring together 1 400 big data professionals from the Benelux. It's a great opportunity to hear about the latest trends and updates in the world of big data, use cases from industry leaders and networking. The Databricks team will exhibit on the expo hall on the stand #78. Come to say Hi!
Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with managing and preparing large datasets for analytics; complexity of managing an explosion of ML frameworks and moving models in development to production. Join this ½ day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts.
