Remove Big Data Remove Devops Remove Enterprise Remove Software Development
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The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO Business Intelligence

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. The role typically requires a bachelor’s degree in computer science or a related field and three or more years of experience as a database developer or related field.

Devops 143
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Software product planning platform Productboard raises $72M

Venture Beast

Productboard, a startup developing a platform to help enterprises plan software development, raised $72 million in funding. Read More.

Software 119
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How are you rewarding top performers in digital transformation, data science, agile, and devops programs?

Social, Agile and Transformation

Enterprise Mobility Exchange listed me as their top digital. Or are you seeking formal and informal ways to let your key employees know they are a good job. Recognition can come in many forms. For example, it's been a great couple of weeks for me on receiving recognition.

Agile 100
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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

This book is mind-bending because it translates the complex theories behind the socio-technical aspects of software development and delivery into a set of easy-to-understand patterns. The Phoenix Project, in particular, shed light on the DevOps movement that later became widely adopted in organizations.”

Devops 109
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Harnessing the power of machine learning with MLOps

Venture Beast

MLOps is a relatively new discipline that draws on operations teams, data scientists, and software developers. Read More.

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Skills Gulf Is Cloud’s Biggest Peril

Cloud Musings

Be it SaaS, PaaS, IaaS, Public, Private or Hybrid clouds, E-Commerce, IOT (Internet of Things), Big Data or some iteration that at the back of it is supported by cloud technologies. Digital Transformation seems to be on the agenda of most Enterprise organisations, banded about as if it’s a switch to flick and a fast thing to undertake.

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The innovators behind intelligent machines: A look at ML engineers

Dataconomy

These experts are responsible for designing and implementing machine learning algorithms and predictive models that can facilitate the efficient organization of data. The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline.