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Logging

SwiftUI Grid: Learn to build complex layouts

In this article we’ll look at Grids in SwiftUI. We’ll see what they are, how they are used, and explain tricks for how to use them in our SwiftUI app. This is a technical article that is heavily code-based. But we’ll aim to be simple and concise, so you can learn something new regardless of your technical level.

Mastering Security Log Management

Security log management provides an organization with a unified and centralized way of collecting, monitoring, and analyzing different security-related activities and events, fostering easier audits and reporting. It offers organizations, the ability to quickly access and analyze logs to understand the scope and impact of security incidents, facilitate regulatory compliance, and enhance visibility and accountability.

Why Monitoring Matters to ML Data Intelligence in Databricks

Machine learning operations (MLOps) is a practice that focuses on the operationalization of machine learning models. It involves automating and streamlining the lifecycle of ML models, from development and training to deployment and monitoring. Much like data operations (DataOps), MLOps aims to improve the speed and accuracy of the data you’re accessing and analyzing.

SwiftUI Image Explained: Quick Tips for iOS Image Handling

From regular buttons, to tab bar elements, even to our SwiftUI app’s icon, Images are a very important aspect of every mobile device application. In this article we’ll look at how to show images in SwiftUI, and give you several tips, with examples, on how to use those Images in your own apps. In this article any image used was sourced from Pexels, a website that hosts a database of free-to-use and royalty-free images.

Introducing pipe syntax in BigQuery and Cloud Logging

Writing complex SQL queries can be challenging, but BigQuery's new pipe syntax offers a more intuitive way to structure your code. Learn how pipe syntax simplifies both exploratory analysis and complex log analytics tasks, helping you gain insights faster. Watch along and discover how to leverage pipe syntax in BigQuery for a more efficient analytics experience. Chapters: Speaker: Jeff Nelson Products Mentioned: Cloud - Data Analytics - BigQuery.

Optimize Your AWS Data Lake with Streamsets Data Pipelines and ChaosSearch

Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.

Optimize your iOS app perfomance using MetricKit

For iPhone and iPad app development, one of the main aspects is the app’s performance. Performance is about your application not crashing, but also how quickly and smoothly it can carry out its functions when users interact with it. An application whose functions consume a lot of battery life, or an application that doesn’t like to wait too long until it finishes whatever it wants to do, can lead to users uninstalling the app.