IT certifications have always been playing a vital role in getting a job or required knowledge. In an interview, if you have a certification, you have more advantages to get the job and I have experienced it personally. There are lots of other channels as well to learn or to enhance the knowledge and skills Read More
Tag: DataOps
Every trend in how IT operations are handled these days gets an “ops” byname such as DevOps, DevSecOps, AIOPS, DataOps, MLOPS and a few other like as GitOps and FinOps. Earlier, it was common practice to segregate business functions from IT operations. But those practices are now a distant memory and for good reason. The Read More
There’s cut-throat competition for everything. Getting a job is tough, and especially in this economy after the pandemic not only in USA but globally. Every company is cutting their costs and looking for talented individuals for different technical roles in less pay. But, still, there are a lot of high-paying certification programs that professionals can Read More
Source: which-50.com The emergence of technologies such as AI and machine learning, along with sophisticated analytics, offers opportunities for smart manufacturers to transform their businesses radically — to create new product and service offerings while maximising the efficiency of supply chains and processes. Contemporary computing models — such as Cloud and, increasingly, Edge computing — Read More
Source: analyticsinsight.net Today organizations are carrying out more and more data projects that promise great opportunities to drive agility and competence. But they are facing a growing pressure to extract meaningful insights from data. Most of them realize the potential of data science to deliver business value, even some are already investing heavily in data science Read More
Source: analyticsinsight.net Today as the competition is at surge among tech organizations, agile principles and priorities are employed for greater productivity. Most of them could be leveraged for data science (DS) projects. Moreover, data scientists do not know how to schedule the project because it is impossible to determine a specific timeline for the type of “research” Read More
Source: searchdatamanagement.techtarget.com Data is not only “big,” it’s also unruly. It populates every pocket of the enterprise. Every information system, every cloud, is dripping with it. And not unlike Jed Clampett’s “bubbling crude (oil that is),” it takes a lot of machinery, a lot of refining, to make it useful. It took the 2010s to Read More
Source: analyticsindiamag.com The one thing that is common between development projects and data projects is that they both hold a lot of promise. But, at the time of rolling out production, the latter is delivered late and once that is done, they tend to underperform. One of the main reasons for their potential underperformance is Read More
Source:- infoworld.com A dataops team will help you get the most out of your data. Here’s how people, processes, technology, and culture bring it all together Have you noticed that most organizations are trying to do a lot more with their data? Businesses are investing heavily in data science programs, self-service business intelligence tools, artificial intelligence programs, and organizational efforts Read More
Source – yourstory.com More than 75 percent of organisations are into Big Data processing and putting those insights into business use. But, data scientists might be in short supply. Big Data is big. Huge, in fact. It is the hottest segment in information technology and according to IDC, Big Data revenues are estimated to cross $187 billion Read More