From application to insights with Quickstart data models
Fivetran’s new Quickstart data models let you turn your application data into analytics-ready tables, all with the click of a button.
Fivetran’s new Quickstart data models let you turn your application data into analytics-ready tables, all with the click of a button.
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.
No matter what application you're building and who your target customers are, everyone can agree that it's critical to avoid broken deployments. To aid in this goal, many tools and concepts have been invented, with Kubernetes preview environments being one of them. In this post, you'll get a deeper understanding of how preview environments work, how organizations are using them, and how you can get started yourself. But to put it simply: preview environments allow teams to deploy a version of their applications during the development process, interacting with it as if it was deployed in production.
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.