Isaac Sacolick

5 takeaways on scaling machine learning
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5 takeaways on scaling machine learning

Many companies are just starting their machine learning journeys and 37% of organizations have implemented artificial intelligence according to a…
5 steps to smarter data visualization
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5 steps to smarter data visualization

Many organizations today are taking steps to become data driven by utilizing models, analytics, data visualizations, and dashboards as an…
Why event-driven architectures are important today
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Why event-driven architectures are important today

Development organizations sensing the shift from user-driven to machine-driven access patterns in APIs and services should consider event-driven architectures. These…
How to use Tableau to analyze agile, devops, and website metrics
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How to use Tableau to analyze agile, devops, and website metrics

Developers use many productivity, coding, testing, and cloud-management tools as part of designing, developing, testing, deploying, and managing applications. Although…
How to validate data, analytics, and data visualizations
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How to validate data, analytics, and data visualizations

Testing applications is a maturing discipline with tools that help quality assurance teams develop and automate functional tests, run load…
How to choose the right data visualization tools for your apps
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How to choose the right data visualization tools for your apps

If you develop applications that present data to users, you’re likely to have requirements to present a graph, chart, dashboard,…
How to write agile user stories: 7 guidelines
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How to write agile user stories: 7 guidelines

Fundamentally, agile user stories are short, simple tools to document a single action or intention desired by the targeted user…
How to hire a developer: The 7 essential steps
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How to hire a developer: The 7 essential steps

When you are hiring new developers for your team, do you start thinking about how to best evaluate their coding…
How to drive shorter development release cycles
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How to drive shorter development release cycles

Before the days of agile, scrum, and devops, software development was often done over many-month release cycles. This was largely…
Get started with natural language processing
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Get started with natural language processing

Most applications today still work in the world of processing data from structured and semistructured sources. They connect to SQL…
5 principles to becoming a collaborative agile devops team
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5 principles to becoming a collaborative agile devops team

There’s a lot of work IT teams take on when committing to agile and devops practices. Agile teams are likely…
Application monitoring: What devops can do better
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Application monitoring: What devops can do better

Many devops teams focus on implementing CI/CD pipelines, automating regression testing, configuring the infrastructure as code, and containerizing the application…
Why developers shouldn’t just dismiss low-code platforms
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Why developers shouldn’t just dismiss low-code platforms

The business need for new applications has never been greater, and IT departments are being asked to find faster and…
Best practices for developing data-integration pipelines
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Best practices for developing data-integration pipelines

Data-integration pipeline platforms move data from a source system to a downstream destination system. Because data pipelines can deliver mission-critical…
5 tips: How to configure Jira to support multiple agile teams
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5 tips: How to configure Jira to support multiple agile teams

Large organizations that transition to agile practices often get trapped between two competing principles: The agile principle of empowering self-organizing…
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