K

Kathleen Martin

Guest
In the 2010s, organizations became keenly aware that data would become the critical ingredient in driving competitive advantage, differentiation and growth. But to this day, putting data to work remains a difficult challenge for many if not most organizations.
As the cloud matures, it has become a game changer for data practitioners by making cheap storage and massive processing power readily accessible. We’ve also seen better tooling in the form of data workflows, streaming, machine intelligence and artificial intelligence, developer tools, security, observability, automation, new databases and the like. These innovations accelerate data proficiency but at the same time add complexity for practitioners. Data lakes, data hubs, data warehouses, data marts, data fabrics, data meshes, data catalogs and data oceans are forming, evolving and exploding onto the scene.
In an effort to bring perspective to this sea of optionality, we’ve brought together some of the brightest minds in the data analyst community to discuss how data management is morphing and what practitioners should expect in 2022 and beyond.
In this Breaking Analysis, we’ll review the predictions from six of the best analysts in data and data management who will present and discuss their top predictions and trends for 2022 and the first half of this decade.
Continue reading: https://siliconangle.com/2022/01/09/analyst-predictions-2022-future-data-management/
 

Attachments

  • p0006438.m06089.adobestock_475518314.jpeg
    p0006438.m06089.adobestock_475518314.jpeg
    3.1 MB · Views: 8
  • Like
Reactions: Kathleen Martin