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How DevOps Teams Can Manage Telemetry Data Complexity

IT Toolbox

Processing telemetry data at scale and near real-time presents many challenges for DevOps teams. The post How DevOps Teams Can Manage Telemetry Data Complexity appeared first on Spiceworks.

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Predictions for 2023: Data Analytics, Data Management, and DevOps Challenges and Strategies

IT Toolbox

Data management, data analytics and DevOps strategies to overcome upcoming challenges. The post Predictions for 2023: Data Analytics, Data Management, and DevOps Challenges and Strategies appeared first on.

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4 steps to connect change management and DevOps

CIO Business Intelligence

It’s no secret that companies are committing to DevOps. In fact, according to a recent survey, three-quarters of leaders have adopted DevOps into their operations. DevOps delivers speed and agility to the development process. Change management brings consistency to DevOps. But it’s not easy.

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How DevOps and Agile Team Leaders Can Organize a Successful Workshop

Social, Agile and Transformation

The collaboration needed by Digital Trailblazers, especially ones leading DevOps and agile teams, is rarely achieved by jumping from meeting room to meeting room or expecting people Requiring a strict in-office presence can be hard on many employees with long commutes, family caretakers, or people with physical disabilities.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos. Developing a data-sharing culture.

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A new era of DevOps, powered by machine learning

All Things Distributed

AWS is on a journey to revolutionize DevOps using the latest technologies. We are starting to treat DevOps, and the toolchains around it, as a data science problem – And when we think of it this way, code, logs, and application metrics are all data that we can optimize with machine learning (ML).

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Is DataOps more than DevOps for data?

Dataconomy

DataOps and DevOps are collaborative approaches between developers and IT operations teams. The trend started with DevOps first. This communication and collaboration approach was then applied to data processing.

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.