Analysis: Cloud growth drives automated data movement
IDC research shows that automated data movement enables organizations to improve insights and derive more value from cloud data warehouses and lakes.
IDC research shows that automated data movement enables organizations to improve insights and derive more value from cloud data warehouses and lakes.
It’s no secret that IT modernization is a top priority for the US federal government. A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage.
After working on a new feature or an improvement, it's normal that you want to deliver these changes to your users as fast as possible. Depending on your deployment pipeline, confidently deploying changes to production might include coordinating with whoever is leading on-call, getting their approval, manually deploying your changes, spending hours to monitor how it goes, and performing a rollback in case something goes wrong.
Businesses have been scaling rapidly in the cloud, driven by the pandemic and lured by the promise of agility and flexibility. But here’s a dirty little secret anyone who works in data knows. Despite the value of the cloud, tons of data hasn’t made it there. So, where is it? Spreadsheets. Still the stalwart workhorse, hero, and bane of the business world. We all love how Google revolutionized this world by bringing spreadsheets to the cloud.