Systems | Development | Analytics | API | Testing

Data fabric is a term used to describe a set of technologies and practices that enable organizations to manage and access data across multiple platforms and environments. This includes supporting an organization’s need to break down data silos, gain more insight into metadata, optimize data sharing across apps and data platforms. Organizations are starting to explore more flexible ways of managing their data ecosystems and ensuring they can leverage data more effectively.

The cost of DNA sequencing continues to decline exponentially. With the average cost of sequencing mammalian DNA hovering around $1,000 in the beginning of 2023, startups like Ultima Genomics and Illumina are working to decrease the cost to between $100-$200. That’s about the same as a new pair of Brooks running shoes! As the sequencing cost drops, the quantity of genetic data to study and analyze explodes, making it even more important to leverage machine learning techniques.

Compare the features & pricing of 2023's best big data tools.

Compare the features & pricing of 2023's top ETL tools.

DevOps was started more than a decade ago as a movement, not a product or solution category. DevOps offered us a way of collaborating between development and operations teams, using automation and optimization practices to continually accelerate the release of code, measure everything, lower costs, and improve the quality of application delivery to meet customer needs.

The tech industry is grappling with the painful reality of widespread layoffs, including within QA teams. Typically, after a round of layoffs, companies spend some time readjusting. There’s a quiet period where projects, external partnerships, hiring, and specific initiatives are on hold. Then… boom. A rapid shift to outsourced, crowdsourced, and third-party coverage to cover the gaps left in QA staffing teams.

Two years ago, we announced our Databricks partnership—including the launch of ThoughtSpot for Databricks, which gives joint customers the ability to run ThoughtSpot search queries directly on the Databricks Lakehouse without the need to move any data. Since then, we’ve empowered teams at companies like Johnson & Johnson, NASDAQ, and Flyr to safely self-serve business-critical insights on governed and reliable data.

Software tests are essential to prevent bugs and create robust user experiences. But building and managing these tests presents its own challenges that often fly under the radar. Fortunately, test management reports can provide visibility into test coverage and performance, making it easier to identify problem areas and ensure test suites run smoothly. This article will explore the different types of test management reports and how to make them valuable and actionable.