5 Things to Consider for a Cloud-Native Data Management Solution
Today, organizations are either building new cloud-native data warehouses or data lakes or modernizing their existing on-prem systems in the cloud to accelerate their digital
Today, organizations are either building new cloud-native data warehouses or data lakes or modernizing their existing on-prem systems in the cloud to accelerate their digital
Cloud data warehouses have emerged as the go-to repositories for amassing huge amounts of data and running advanced analytics and AI upon it. This is
BitTitan’s Mark Rochester examines the benefits of the cloud in data science when big data keeps getting bigger. Big data is on the rise and
It can sometimes be easy to understate the importance of cloud computing and its role in changing the tech landscape. Whilst other aspects of the
Kubernetes is a production-grade container orchestration system, which automates the deployment, scaling and management of containerized applications. The project is open-sourced and battle-tested with mission-critical
The cloud computing market is pegged to balloon to $411 billion by 2020, according to a Gartner Market Report. In particular, Infrastructure-as-a-Service (IaaS) is expected
We recently invited 451 Research VP, Matt Aslett to share his thoughts and observations on the practice of separating the storage and computation of analytic
The advent of powerful data warehouses in the cloud is changing the face of big data analytics, as companies move their workloads into the cloud.
In the early days of big data that followed the invention of Hadoop at Yahoo, proponents emphasized its potential for replacing bulging enterprise data warehouses
The joint Google and Cisco Kubernetes platform for enterprise customers should appear before the end of the year, and things are getting warm between the
The data industry has seen a great deal of evolution since the early days of traditional data warehousing. We now rely on the data engineer,
In early 2015, we began building data infrastructure at Thumbtack. At the time, the company’s data was spread across a PostgreSQL replica and a MongoDB