Top Cloud Data Stories on CDInsights in 2022
Over the last several years, more and more business computing and the associated data resources have migrated to the cloud. Even more data resources and services didn’t actually migrate from anywhere but originated in the cloud. The cloud’s scalability and flexibility has given rise to new kinds of data and ways to analyze them that were simply not possible before when our horizons were defined by physical data centers.
We saw the shift in the context of real-time event processing. RTInsights is focused on shedding light on various aspects of real-time event processing (and will continue to be), and many of those solutions increasingly involve the cloud in some way.
The cloud, cloud computing, and cloud data have become ubiquitous–we simply cannot conceive of a technology project that does not at least consider the cloud as an option for part or all of it.
Even edge computing which is defined by physical footprints today has some portion of workflows touching the cloud–be it for managing devices, collecting data, analyzing the data, or using it in real-time to drive actions at the device level or at the business-process level.
That path to the cloud, however, is not a clear or easy one. Technology and business leaders still have many questions and are in need of more guidance to make the move efficiently and effectively. And then, even more importantly, what do you do after the migration? How do you continue to grow and innovate, anticipating changing technology landscapes and business opportunities?
Some of the most debated topics revolve around managing a dynamic data environment in the cloud, and include topics such as data governance and all aspects of data security.
To help provide clarity on these topics and more, earlier this year RTInsights launched our sister site, Cloud Data Insights, a community of experts sharing information that will help practitioners and data leaders navigate the changing landscape of working with data in the cloud.
Essential areas of our coverage include: Migration, integration, data platforms, cloud data architectures, AI/ML, security, governance.
Under these umbrella topics we are providing information and best practices for both practitioners and data leaders in various corporate functions on MLOps, responsible AI, open data, multi-regional data governance, new data management and analytics platforms and tools, data pipelines, and hybrid architectures for organizations that seek to manage cloud and on-premises data in a cohesive framework whenever possible.
Here are the top articles on CDInsights from this year:
Data Utilization in the Cloud Era
A conversation with Ascend’s CEO and Founder, Sean Knapp, and CRO Tom Weeks about shifts in how businesses think of their data and how Ascend is responding to–and even anticipating–emerging challenges around effective data utilization. Read Here
My journey from a Business Management student to a Data Engineer
A first-person account of breaking into data engineering along with advice for others looking to break in and hiring managers. Read Here
22 Top Cloud Database Vendors
Traditional database management systems are moving to the cloud in the form of cloud database offerings. Here are some of the top contenders and their offerings. Read Here
27 Cloud Data Vendors to Watch at Snowflake Summit 2022
An estimated 200 ecosystem partners attended Snowflake Summit 2022. Here is a look at 27 of them. Read Here
You’ve Migrated to the Cloud, Now What? 4 Critical Cost-Saving Practices
Migrating to the cloud has enormous potential but only if companies have a clear process. Read Here
Python Top Programming Language, But SQL Gets You Noticed
While most job listings specified a particular programming language for a position, many also want SQL expertise. Read Here
The Future of AIOps This Year and Beyond
AIOps has seen critical gains in the past two years, as more organizations have adopted it and some are starting to mature in their use of the technology. Read Here
Increased IT Complexity Drives the Need for AIOps
As the AIOps market matures, many in the industry believe businesses will turn to AIOps platforms as their sole monitoring tool as these platforms are enabled to natively acquire data and analyze it. Read Here
Extending Data Warehousing to the Cloud
Yellowbrick Data’s CTO Mark Cusack addresses the future of data warehousing, the cloud, and why companies are differently about data. Read Here
Workloads Everywhere! Hybrid Cloud is Here
Organizations have workloads everywhere, which all support and interact with each other. This requires “everywhere capabilities” — that is, hybrid and multi-cloud visibility and manageability. Read Here
