The Rise of the Cloud Data Lake Engine: Architecting for Real-Time Queries
Cloud data lakes host a rising tide of increasingly diverse datasets and analytics workloads. Elastic resources and flexible data integration make the cloud data lake a powerful complement, and sometimes even an alternative, to the data warehouse. However, enterprises still struggle to manage the performance, data access, governance and cost of their cloud data lakes.
A new category of technology, the cloud data lake engine, has emerged to resolve these challenges and usher in a new era of interactive OLAP. It merges the structural advantages of SQL-oriented data warehouses with the scale and efficiency of cloud object stores. But how do cloud data lake engines work? What does it mean to data engineers, architects and analysts?
Join Eckerson Group and Dremio as we discuss the components of a cloud data lake engine, as well as common benefits, adoption trends and use cases.
A new category of technology, the cloud data lake engine, has emerged to resolve these challenges and usher in a new era of interactive OLAP. It merges the structural advantages of SQL-oriented data warehouses with the scale and efficiency of cloud object stores. But how do cloud data lake engines work? What does it mean to data engineers, architects and analysts?
Join Eckerson Group and Dremio as we discuss the components of a cloud data lake engine, as well as common benefits, adoption trends and use cases.
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