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Are you tired of sifting through mountains of data from different data sources before you find the data set you need to get your job done? It's time to simplify your life with data consolidation.

You probably know about objects and arrays, but how often do you use sets and maps? This article explains everything you need to know to use these more specialized data types in your JavaScript applications.

Fivetran’s new Quickstart data models let you turn your application data into analytics-ready tables, all with the click of a button.

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.