Tag: analytics

Natural Language Query (NLQ) is Key for Self-Service BI
Modern business intelligence (BI) and analytics software solutions offer more ways to explore data and find insights than ever before. However, ensuring everyone in the enterprise can use analytics independently, when they ...

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 ...

Allstacks Adds Free Dashboard to Track Software Dev Benchmarks
Value stream intelligence platform provider Allstacks today added a free live dashboard populated with anonymized data that DevOps teams can use to benchmark their own progress. Hersh Tapadia, Allstacks co-founder and CEO, ...

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 ...

The Power and Potential of Stored Procedures
One way of saving time when writing code is with stored procedures; prepared SQL code that you can save so the code can be reused over and over again. Stored procedures are ...

Why an Embedded Analytics Maturity Framework is Essential
Contextual analytics, or embedding analytics directly into a business application’s transactional environment and core workflows, is the most sophisticated stage of business intelligence (BI) currently available to organizations today. It is one ...

Harnessing the Value of Log Data Analytics
Each day, the average enterprise’s cloud applications, containers, compute nodes and other components throw off millions of tiny logs. Each log is a file whose data describes an event such as a ...

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 ...

EP 17: Lies, Damn Lies and Metrics
In this episode of DevOps Unbound, hosts Alan Shimel and Mitch Ashley are joined by Helen Beal of the DevOps Institute, Viktoria Praschl of Tricentis, Frank Ohlhorst, principal analyst with Accelerated Strategies ...

Turbocharge Enterprise Apps With Contextual Analytics
Software product managers and developers typically treat analytics as a standalone capability—something to be integrated into their application’s dashboard or reporting module. As a product feature, analytics is undoubtedly a valuable tool ...

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 ...

VMware Enhances Management Portfolio
VMware today rolled out a series of updates to its automation and monitoring portfolio as part of an ongoing effort to simplify management of highly distributed IT environments. Updates to the VMware ...