According to the Bureau of Labor Statistics, the outlook for jobs around managing data architecture and databases looks pretty good: The number of professionals with roles around managing data is due to grow by eight percent from 2022 to 2032. However, while the number of roles that work around data is going up, the position of database […]
What Architecture Can Teach Us About Self-Healing Systems
DevOps teams and site reliability engineers (SREs) deal with code daily. Doing so teaches them to scrutinize their world, make astute observations, and draw unexpected connections. After all, although highly logical and mathematical in nature, software development is, at least in part, art form. Unconvinced by that statement? Consider the parallels between history’s most remarkable […]
10 Best Practices for CI/CD Pipelines
CI/CD is the practice of continuous integration and continuous delivery/deployment. The two processes, typically referred to as a CI/CD pipeline, introduce ongoing automation and continuous monitoring throughout the lifecycle of apps, from the integration and testing phases to delivery and deployment. The use of a CI/CD pipeline introduces smaller iterations and faster deployment in the […]
Developing a Data Strategy Roadmap
A Data Strategy roadmap is a step-by-step guide to transform a business from its current state into the desired business organization. It is a more detailed, researched version of the Data Strategy and communicates when and how to implement specific advances to develop and upgrade a business’s data processes. A Data Strategy roadmap acts as a useful […]
4 Essential Tools for DevSecOps Teams
DevSecOps (short for Development, Security, and IT Operations) extends the principles of DevOps to include secure development practices. DevOps is a development method designed to create, test, and release software quickly, with high quality, and with the ability to rapidly respond to customer needs. This is achieved through task automation and management tools that streamline […]
DataOps: What It Is and What the Enterprise Gets Wrong
By 2025, the total amount of data created, captured, copied, and consumed globally is projected to reach more than 180 zettabytes. With this rapid growth, the ability to harness data for business impact is even more vital. To keep up with the exponential data growth and resulting challenges, data teams must adjust the way they operate. […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Machine Learning, Data Governance, and Data Ethics
Data ethics — the collection and use of data in an ethical manner — can be combined with Data Governance and machine learning. Data ethics places a strong emphasis on the behavior of people or organizations as they gather or distribute data. Laws become necessary when some people chose to ignore ethical behavior. At its […]
AIOps Technology: It’s Just Getting Started
There’s something surprising about enterprise technology: It’s not as evolved as most people assume. According to Flexera’s 2021 State of the Cloud Report, just six of 10 businesses have migrated their workloads to the cloud. That implies that 40% of workloads are still running on a client server or mainframe infrastructure. But not for long. Jamie Dimon, […]
3 Strategies for Creating a Successful MLOps Environment
Disconnects between development, operations, data engineers, and data science teams might be holding your organization back from extracting value from its artificial intelligence (AI) and machine learning (ML) processes. In short, you may be missing the most essential ingredient of a successful MLOps environment: collaboration. For instance, your data scientists might be using tools like JupyterHub or […]