Tag: big data

Quality Is a Top Challenge for Data-Driven Projects
Software systems continue to produce more and more data. And making use of it has proven benefits — so much so that many analysts have, over the years, referred to data as ...

Observe, Inc. Dives Deeper Into Observability
Fresh from picking up an additional $70 million in funding, Observe, Inc. announced this week it has added multiple tools, dubbed Data Universe Maps, to its observability platform to visualize all datasets ...

Using Data Fabric for Real-Time Processing
Charlene O'Hanlon and Scott Gnau from InterSystems talk about silos in organizations and how data fabric enables organizations to process, transform, secure and orchestrate data from disparate sources in real-time. The video ...

How Developers Can Handle the FinServ Data Deluge
A decade ago, if you were to ask developers what the biggest challenges in commercial banking were, they would likely cite the difficulty of accessing and collating high-quality data on the day-to-day ...

Does Your Organization Need a Data Diet?
The scenario is all-too-familiar: There’s a security breach, and afterward, the affected organization asks what it must do to better protect its data. But what if that organization never collected and stored ...

Why DataOps is Critical for Digital Transformation
Data lies at the heart of all digital transformation. In fact, today, as organizations look to further accelerate their ongoing digital transformation initiatives, companies are looking to extract even more value from ...

DataOps: How to Turn Data into Actionable Insights
Enterprises have struggled to collaborate well around their data, which can impact everything from digital transformation to advanced concepts like AI and ML. DataOps is not without challenges; building, managing and scaling ...

How to Optimize Data in Software Development
Data can drive significant business value for every company. Globally, we are collecting more of it than ever before, and it keeps growing—from 45 zettabytes in 2019 to a projected 175 zettabytes ...

DataOps Vs. DevOps: What’s the Difference?
There is a mindboggling amount of data today; to even measure it requires using a byte measurement called a zettabyte, which is one sextillion bytes (that’s 21 zeros). Currently, because such a ...

Open Source vs. Proprietary DataOps
Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work ...

Out of the Silo: Big Data and DevOps Meet in the Middle
Given the myriad benefits they provide, it seems crazy that big data and DevOps have been implemented independent of each other If you have been working from home during the recent lockdowns, ...

Building Your Own AIOps Platform Is a Bad Idea
It takes considerable expertise to not only build, integrate and maintain an AIOps platform In the wake of the economic downturn brought on by the COVID-19 pandemic, investments in digital business transformation ...