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Guide To Testing in DevOps: Concepts, Best Practices & More

Knowledge Hut

DevOps practices in collaboration with relevant tools and techniques, motivate organizations to complete tasks as effectively as possible. However, this union of the two teams is only partially complete; testing must also be integrated into the continuous delivery chain to benefit from DevOps fully. Defects will escape.

Coding 52
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Data Integrity Testing: Goals, Process, and Best Practices

Databand.ai

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems.

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Navigating the Practical Challenges Faced by Test Engineers by Shikha Nandal

Scott Logic

The role of a Test Engineer is vital in software development, but it comes with a set of practical problems that demand careful attention and solutions. Along with these, there comes another set of practical issues. As Test Engineers , we can enable this by building relationships, maintaining a regular feedback loop.

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Mastering Testing Efficiency in Spring Boot: Optimization Strategies and Best Practices

Zalando Engineering

Let's dive into the exciting world of Spring Boot testing with JUnit. It is incredibly powerful, providing a realistic environment for testing our code. However, if we don't optimize our tests, they can be slow and negatively affect lead time to changes for our teams. See official Spring documentation on Test Slices.

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Best Practices for Deploying & Scaling Embedded Analytics

You can get new capabilities out the door quickly, test them with customers, and constantly innovate. Download the eBook to learn about Best Practices for Deploying & Scaling Embedded Analytics. Embedding analytics in your application doesn’t have to be a one-step undertaking.

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What is dbt Testing? Definition, Best Practices, and More

Monte Carlo

Data testing is the first step in many data engineers’ journey toward reliable data. And one of the most popular approaches is dbt testing. dbt (data build tool) is a SQL-based command-line tool that offers native testing features. dbt also happens to be an incredibly handy tool for running many data quality tests.

SQL 52
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How to get started with dbt

Christophe Blefari

dbt is a development framework that combines modular SQL with software engineering best practices to make data transformation reliable, fast, and fun. tests — a way to define SQL tests either at column-level, either with a query. The trick is if the query returns results it means the test has failed.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.