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As businesses focus on leveraging data to drive digital transformation, IT leaders are struggling to keep pace with the high volume of data coming in at high speed, and with rapidly evolving technologies.
Cloud data lakes and cloud data warehouses have emerged as a popular architectural pattern to support next-generation analytics. Data engineers want to rapidly build serverless data pipelines to ingest and govern data from a variety of sources at scale. At the same time, data scientists must be able to quickly find and prepare data for their analytics and data science projects in a self-service fashion.
Whether it is sensor data in the healthcare industry, clickstream and social media for shopping recommendations, or real-time data to optimize production in a manufacturing business - use trusted, high-quality data and gain key business insights faster.
Join this webinar, where we will discuss:
Duration: 20 minutes plus Q&A
Presenters:
- Brian McConnell, Solutions Architect , Databricks
- Louis Polycarpou, Presales Director, Informatica
