A growing number of companies are continuing to launch significant digital transformation (DX) projects in 2022, and rightly so, since this can enhance their IT and business capabilities while resulting in cost savings. This has led to a large increase in the use of containers. The StackRox State of Container and Kubernetes Security Report—Winter 2020 flagged […]
While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences. This article will highlight the differences between each and how […]
The benefits of the cloud – reduced capital expenditures, greater IT flexibility, business efficiency, competitive advantage – are compelling. So much so that, not so long ago, people were predicting organizations would move their entire computing infrastructure to the cloud, and nothing would be left on-premises. It, of course, never happened. Instead, organizations have embraced […]
Without effective and comprehensive validation, a data warehouse becomes a data swamp. With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical. While existing Data Quality solutions provide the ability to validate Snowflake data, these solutions rely on a rule-based approach that is […]
The pandemic has been a test for many businesses, especially when it comes to their agility, adaptability, and resilience. The ongoing crisis has shown that organizations must be equipped to rapidly respond to unexpected crises – be they cyberattacks, natural disasters, or even a global pandemic. To add to these, businesses constantly face a myriad […]
Now is about the time of year when people start rethinking their New Year’s resolutions. Regardless of how great the outcome would have been, perhaps their goals were too ambitious or vague to be reachable. The same holds true for major digital transformation efforts, including process automation. According to a recent survey, 9 out of 10 IT decision-makers said process automation […]
It’s human nature to want to point the finger at someone else when something goes wrong, but even if responsibility rightfully lies elsewhere, that’s an ineffective way to solve a problem. Sure, root cause analysis requires identifying the source of an issue, but all too often, we stop short at the person or group exhibiting […]
In the battle of the old vs. the new, it is evident that traditional identity and access management (IAM) solutions are gradually getting phased out by cloud solutions. Hence, there is a need to shift to cloud-based identity governance and administration (IGA) solutions. This type of cloud governance is more secure and reliable while providing […]
In recent months there has been a great deal of hype about the concept of hyperautomation. The topic is widely cited as one of the data trends to watch in 2022 and has sparked numerous debates, comments, and blog posts, including my own. Yet although there has been much thinking and talking, the time has come […]
Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions. 1. Heterogeneous Data Data can be of low quality, […]
They say that history repeats itself, and that those who don’t remember the past are doomed to repeat it. We’re about to see another instance – with regards to consolidation – where these old adages ring true. Years ago, at the start of the cloud revolution, companies began to flee from the idea of a monolithic, […]
With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite. Today’s machine learning platforms are undergoing rapid, fundamental innovations at an architectural level. Meanwhile, organizations are […]
