The Hidden Challenges of the Modern Data Stack
The modern data stack landscape comes with an integration tax, perpetuates the need for expensive, highly specialized resources, and complicates change management.
Cloud data platforms are public or private cloud software systems built and operated with the primary purpose of managing data on the cloud.
The modern data stack landscape comes with an integration tax, perpetuates the need for expensive, highly specialized resources, and complicates change management.
Steps include selecting a storage strategy, migrating data to cloud, and optimizing performance.
CDI sits down with Ocient to talk about the unique needs customers have when it comes to hyperscale analytics.
The convergence of data engineering and data science streamlines complex pipelines.
Following these data pipeline best practices will help any team deliver data pipelines with the integrity needed to build trust in the data, and do so at scale.
Dremio’s co-founder and Chief Product Officer, Tomer Shiran, explains how the scope of the data lakehouse will expand and what comes next in light of data democratization.
To knock down the barriers to delivering business value from data, organizations need to envision a new type of intelligence in their data pipelines.
Organizations need modern ways to manage their workloads in today’s complex cloud environments.
Discover how edge computing is revolutionizing smart devices in the cloud and what companies in different industries can expect next.
From large, on-premises Hadoop farms to streaming ingestion, businesses are moving their enterprise data into the cloud. Here are some thoughts on how to do that.