Transforming Information Into Knowledge
Transforming Information Into Knowledge
Research from Kubernetes provider Diamanti corroborates three trends we’ve seen in recent market research about containers adoption: 1) IT operations teams have taken the lead; 2) security, not state, is the biggest obstacle to increased adoption; and 3) performance, not cost, is the reason to run containers on bare metal.
Salesforce is buying Tableau and Google Cloud is adding Looker to its family. After reviewing a panoply of studies about business intelligence (BI), analytics, and data warehousing, we found it evident that both acquisitions will provide best-in-class functionality addressing the needs of both business analysts and the IT department, as well as leadership in high-growth markets that are only tangentially related to artificial intelligence and machine learning.
As low-code platforms increasingly become part of IT strategies, executives should remember that while these tools can democratize coding, the core audience for these products are skeptical professional developers that are likely to rely on their primary tools to for everyday coding.
Twenty-eight percent of low-code platform users say escaping technical debt is a benefit. The theory is that low-code platforms generate less custom code that has to be reviewed at a later date.
Inspired by a conversation with a good friend, I looked at some of my previous analysis about market opportunities for IT vendors and consultancies to profit from digital transformation efforts. I still believe technology companies are well positioned to identify opportunities to initiate larger digital […]
Apache’s Flink, Beam, NiFi, Pulsar and Storm are all getting significant levels of consideration.
Fifty-three percent of IT leaders made significant changes to their IT operating model or organization in the last two years, and another 37 percent are in the process of making changes according to the aforementioned survey.
The dependencies in open source packages are of greater concern than their licenses.
Stream processing users often start with ETL and messaging between microservices, then move into more advanced use cases.
Adoption figures for AI, ML, and intelligent automation are all over the map depending on how the terms are defined and who is asked about it.
The blockchain bubble has burst and now it looks like AIOps (IT operations aided by artificial intelligence) may be the next buzz word to become overplayed.
A formal API monitoring process has been implemented by 57% of the respondents’ companies. Since they are spending the time to track the API performance, API users expect that the API provider will quickly respond to service level issues, with 75% expecting the provider to send out an immediate notification or alert.