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 and surface underlying event data. The company also added pre-built applications for Kubernetes, Amazon Web Services (AWS) and Jenkins environments with editions for […]
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 is below followed by a transcript of the conversation. Announcer: This is Digital Anarchist. O’Hanlon: Hey, everybody, welcome back to Tech Strong TV. […]
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 operations of banking institutions. Today, that’s completely changed. Or it has to some extent, at least. Developers working in the banking industry certainly […]
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 that sensitive information in the first place? Often, the best defense against an embarrassing and costly breach is to collect only data that […]
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 their data, to better drive corporate decision-making, help grow the business, improve customer satisfaction and gain a competitive advantage. Inspired by DevOps, DataOps, […]
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 data pipelines requires careful thought around reusability, portability across infrastructure and applications and long-term maintenance and governance. And these are just a few […]
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 by 2025, according to IDC. However, companies are struggling to monetize all the personal, behavioral, engagement and transactional data from customers and operations […]
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 ridiculous amount of data exists, there is a growing urgency to end wasteful data processes. From this environment, DataOps was born. Similar to […]
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 revolves around creating data pipelines. DataOps pipelines offer the kind of observability that traditional data integration and ETL processes don’t or can’t. They […]
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, you probably don’t feel like you are making many new connections, but when we come to look back on this time in a […]
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