Get value from data quickly with Informatica Data Loader for BigQuery
If data is currency in today’s digital environment, then organizations should waste no time in making sure every business user has fast access to data-driven insights.
If data is currency in today’s digital environment, then organizations should waste no time in making sure every business user has fast access to data-driven insights.
At Cloudera we’re building the world’s only hybrid data platform that’s founded on open source and truly hybrid. What do we mean by truly hybrid? Well, not only does it seamlessly support on-premises and cloud-based deployments alike, but uniquely, it is cloud vendor agnostic, allowing multi-cloud strategies to thrive.
Businesses around the globe are struggling to do more with less as budgets tighten, uncertainty looms, and talented workers can be scarce. At the same time, the finance function is emerging as a strategic pillar in many organizations. Companies are generating more data than ever before, and it’s falling on the finance team to make sense of the meaning behind all those numbers.
In November 2020, Apple released the M1 MacBook and, one year later, the M1 Pro/Max chips. Since then, we have all read and heard from other people about the crazy performance improvements. Perhaps you already read the tweet by Jameson Williams (a staff software engineer at Reddit): So we know that M1 machines are fast, but should we use them in CI/CD to speed up our pipeline? To help answer that question, we compared the M1 mini, Mac Pro, and Mac mini for iOS and macOS builds with Codemagic.