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Build a Big Data Interaction Platform

Expanding the vision of “Democratization” of the data further, team EY has built a custom big data interaction platform which is a Self-serviced web application that is powered by Dremio. Unlike the traditional approach of multi-layered data dependent processes, which are susceptible to data size limits and slow process and dependencies on technical resources, this big data interaction platform allows user to solve client challenge immediately with sub-second processing times for both technical and non-technical users.This self-service big data application is a combination of modern data architecture and a leading-edge technology stack (like Dremio, Spark and Elasticsearch) to deliver unparalleled abilities for non-technical users to read, transform and visualize data in near real-time.

Topics Covered

Apache Spark
Data Lake Engines
Dremio

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Guides

What Is a Data Lakehouse?

The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.

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Simplifying Data Mesh Featured Image

Whitepaper

Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.

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Data Mesh in Practice: How MSK Accelerates Cancer Research with Dremio’s Open Data Lakehouse

Learn how MSK accelerates cancer research by enabling faster access to data using Dremio's open data lakehouse

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