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Innovate Faster and Easier with Confluent and Databricks on Azure

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##Available On-Demand

Do you struggle with implementing real-time data pipelines and gaining insights to your data? Many companies are using Apache Kafka and Apache Spark to process data in real-time but lack the expertise and resources to run these technologies. By leveraging Confluent and Databricks as fully managed services in Microsoft Azure you can more easily build your own data pipelines and quickly realize the value of your data.

Join experts from Confluent, Microsoft, and Databricks to:

  • Learn about the challenges companies are facing with processing their data
  • See how Confluent and Databricks on Azure transform data pipelines to help companies innovate faster and easier
  • See the technologies in action with a demo on Azure
  • Hear tips on how to get started building your own data pipelines
Gianluca NataliSenior Partner Solution Engineer

Gianluca is partner solution engineer at Confluent, responsible for technical enablement of partners in EMEA. With over 10 years of experience covering different roles (solution engineer, professional services consultant & trainer, and developer) in different countries (Italy, Ireland, and Germany), he has experience across event streaming, big data, business intelligence, and data integration. In his leisure time, he is studying toward his economics degree, reads about tech, plays guitar and enjoys discovering the world again through his daughter’s eyes.

Angela ChuSolution Architect

Angela Chu is a solution architect at Databricks, responsible for enabling customers to solve the world’s toughest data problems. She has been designing solutions that turn large volumes of data into information for more than 20 years and has experience in everything data related from ingestion to presentation. She enjoys traveling with her family and showing her kids the amazing world that we live in!

Caio MorenoSenior Cloud Solution Architect

Dr. Caio Moreno is a senior cloud solution architect at Microsoft. He has experience in artificial intelligence, machine learning, big data, IoT, distributed systems, analytics, streaming, business intelligence, data integration and visualization. He holds a Ph.D. in Data Science from the Complutense University of Madrid.