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Why Focus on Big Data Software Development

Galido

Information Technology Blog - - Why Focus on Big Data Software Development - Information Technology Blog. Various businesses and organizations have embraced the advancement of technology to be able to carry out multiple operations by including sophisticated data analytics software. Data Software and Systems.

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What are Seven Types of Big Data Debt

Social, Agile and Transformation

As more organizations have embarked on agile software development over the last five years as part of digital transformation programs, the term technical debt is more widely understood. Teams that develop code leave artifacts behind that require improvements, reengineering, refactoring, or wholesale rewriting.

Big Data 271
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Announcing The Detection And Response Development Lifecycle (DR-DLC) For Detection Engineering

Forrester IT

The security operations center (SOC) has reached the same tipping point that software development faced many years ago: It’s dealing with too much data (big data and log management), struggling to innovate and update monolithic software (detection and incident response processes), and lacking ownership beyond initial deployment (content management).

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Top 10 IoT software development companies in the USA (2023)

Dataconomy

List of top10 IoT software development companies in the USA (2023) Appinventiv Appinventiv is a renowned digital solution provider in the US that boasts a large team of over 1000 skilled IoT developers. IBM IBM is another of the top IoT software development companies in the US that has been in the game for a long time.

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What not to do with Unstructured Big Data - and Why NoSQL

Social, Agile and Transformation

I should have written this post 5-10 years ago when I was an expert working with search engines and text data. Better late then never, and hopefully this will help some of you that are starting out looking at solutions to better store, search, and data mine text documents. . .

Big Data 219
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Why Data Science, DataOps, and Data Governance need Agile Methodologies

Social, Agile and Transformation

Data science requires questions, hypotheses, discovery, analysis, and recalibration. While the words I'm using to describe a data science are different than software development, the process and mindset are very applicable to agile methodologies. . And just like software development, data science requires a.

Agile 246
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Big Data Project Management: What’s In & What’s Out?

CTOvision

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Relatively self-contained big data projects may be tied to an ongoing process or program that is already developing or delivering a product or service. Discussion.