Systems | Development | Analytics | API | Testing

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Combine data across BigQuery and Salesforce Data Cloud securely with zero ETL

We are excited that bidirectional data sharing between BigQuery and Salesforce Data Cloud is now generally available. This will make it easy for customers to enrich their data use cases by combining data across different platforms securely, without the additional cost of building or managing data infrastructure and complex ETL (Extract, Transform, Load) pipelines.

Making the Leap from Azure to Codemagic

This article was origninally published here. In this article, we’re spilling the beans on why we switched from Azure to Codemagic and showing you exactly how to supercharge your CI/CD game. We’re covering the entire spectrum — from compiling and creating release notes to testing and deployment. Let’s rewind a bit to our iOS developers’ struggles. Our CI process (think builds, tests, and coverage) was taking a chunky 40–50 minutes.

Introducing Angles Professional's Drill Through Feature

This video introduces the new Drill Through feature in Angles Professional, aimed at enhancing user experience and efficiency. Join us as we explore how this feature streamlines data analysis and visualization, empowering users to navigate seamlessly between visuals and gain deeper insights into their data.

Star Schema Vs. Snowflake Schema: 4 Key Differences

Organizations rely on high-performance data warehouses for storing and analyzing large amounts of data. An important decision in setting up a data warehouse is the choice between Star Schema vs. Snowflake Schema. The star schema simplifies the structure of a database by directly connecting dimension tables to a central fact table. The star shaped design streamlines data retrieval and analysis by consolidating related data points, thereby enhancing the efficiency and clarity of database queries.

Introducing Spreadsheet Server's Biznet Conversion Tool

Experience seamless reporting transformation with Spreadsheet Server's Biznet Conversion Tool. In this video, discover how Biznet/XL Connect Customers can effortlessly convert BizSuperfunc formulas into.edq files, ensuring compatibility with Spreadsheet Server's GEXQ formulas. Follow along as we explore each step of the conversion process, from opening workbooks to reviewing detailed results. Say goodbye to compatibility issues and manual updates, and unlock the full potential of your reporting process. Watch now and take your reporting to the next level!

N|Solid: Node.js Compatibility Proven through Fastify CI Integration

At NodeSource, we understand the hesitance and scrutiny that often accompany claims of "Node.js compatibility". The Node.js ecosystem is vast and intricate, and as Matteo Collina rightly points out, passing a "hello world" example is just the start. We believe N|Solid should be a component of every Node.js project, especially in production, to provide developers and organizations with the most advanced performance and security observability tooling.

Qlik's most underrated capabilities

Qlik is a vital and powerful analytics tool that’s used by companies across every sector, including gaming giant SEGA, and the company continues to improve its offerings, from SaaS to cloud solutions. With an ever-growing collection of capabilities, there are bound to be a few features that even the most expert Qlik users may not utilize. That’s why we’ve put together a list of the most underrated Qlik capabilities that every data master (and junior!) should know.

6 Benefits of a Real Device Cloud vs. Physical/On-Premises Real Devices for Mobile App Testing

Some mobile app development teams today are still dealing with the challenges of maintaining physical/on-premises real devices for mobile app testing. This blog post makes the case for moving real device testing to the cloud.

Software Testing Optimization: Avoiding the Pitfalls of Over-Testing and Under-Testing

Thorough software testing aims to identify and resolve potential issues before they impact users, ensuring a high-quality user experience. However, optimal testing levels can be hard to achieve for most quality assurance (QA) teams. An optimal testing level requires balancing testing thoroughness, coverage, and speed with resource allocation.