Intelligent applications are (by their very nature) complex. While conventional software basically consists of one thing (code), intelligent software involves code, models and data. As previously discussed, three distinct fields—DevOps, MLOps and DataOps—have evolved to govern each of these interconnected disciplines. Moving through the ML life cycle quickly and efficiently requires collaboration between teams in […]
What is MLOps? DataOps? And Why do They Matter?
Let’s look at three distinct disciplines—DevOps, MLOps and DataOps. In 2011, Marc Andreessen famously proclaimed that software was “eating the world.” A little more than a decade later, it’s all but impossible to argue with his premonition as software has embedded itself into virtually every industry. But now another shift is underway and AI is gobbling […]
SQL Server MDF to NDF Distribution
Do you have massive MDF files on your database? Have you noticed that your SQL Server disk stall metrics for these data files are higher than the storage latency metrics exhibited on the underlying operating system? It could be that your SQL Server data files are being hammered too hard and you don’t have enough […]
DevSecOps for Databases: Data Masking, Cloud Backup, WAF and More
DevSecOps is everywhere. More and more organizations realize that the traditional separation between DevOps and security is wasteful and dangerous. As a result, they are rushing to integrate security into all their software development processes. Adding security to containerized applications, cloud resources and other parts of modern DevOps infrastructure is already well understood. But what […]
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, […]
How to Pivot and Join Time-Series Data in Flux
Merging multiple time-series in InfluxDB using Flux may seem like a daunting task. This in-depth Flux tutorial will explain how to pivot, time shift and join time series in InfluxDB. In this InfluxDB tutorial, we will show you how to create an accurate overview of multiple time series with industrial data captured in consecutive production […]
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 […]
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 […]
Open Source: What IT Pros Wish the CIO Knew
Using DataOps and open source together, organizations can reimagine the way they deliver data and software-driven projects Real-time data is the fuel that powers today’s most critical systems and applications, as well as the digital transformation initiatives organizations need to compete effectively. For the people on the front lines building them, having the right technology […]
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