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Helix ALM by Perforce vs HP ALM by Micro Focus

Since HP ALM/Quality Center was acquired by Micro Focus (and now Open Text), users have been outgrowing its functionality. While HP upgraded many of its solutions to be more compatible with Agile and to support automation, ALM/Quality Center was left behind. What was once considered a best-in-class solution is becoming more obsolete by the day, having no resources allocated to development and limited support for customers. Today, there are better ALM options available.

Understanding the Benefits of Salesforce Testing for Your Business

Today, enterprises experience great pressure of increasing the number of integrations and customization which in turn, subsequently raises the necessity to implement effective QA systems that will assure scalability and maintainability. Salesforce can be described as one of the most popular CRM systems that assist sales, marketing, commerce, service, and IT departments engage with customers and drive key business information.

Streaming BigQuery Data Into Confluent in Real Time: A Continuous Query Approach

Confluent Cloud, a leading cloud-native platform for building data streaming applications, and BigQuery, Google's serverless data warehouse, are revolutionizing how businesses handle data. Together, they offer a powerful solution for real-time data ingestion, processing, and analysis—now enhanced by BigQuery’s new continuous query. Many organizations grapple with challenges in moving data from their data warehouses to real-time processing platforms.

Setting Up A RESTful API With Ruby on Rails

Ruby on Rails is an excellent choice for building a REST API, stemming from its design principles and robust feature set. It encourages a resource-oriented architecture, including built-in routing, migrations, and task tools. Rails also includes Active Record, an Object-Relational Mapping (ORM) layer, which simplifies database interactions.

Four Strategies for Faster Releases: How to Streamline Your Testing Workflows

The high-stakes world of software development is a race to deliver quality features, faster. When the testing phase of the development lifecycle is slowed by inefficient and error-prone processes, it’s impossible for teams to meet their deadlines. How can they keep up? By taking a smarter approach to test management that prioritizes efficiency without sacrificing quality. By implementing these four test management strategies, teams can work smarter and shorten their release cycles.

The Data Turf Wars are Over, But the Metadata Turf Wars Have Just Begun

Over the past several years, data leaders asked many questions about where they should keep their data and what architecture they should implement to serve an incredible breadth of analytic use cases. Vendors with proprietary formats and query engines made their pitches, and over the years the market listened, and data leaders made their decisions.