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Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how.
Potentially error-prone, unsecured, and hard to maintain, spreadsheets create data silos and discourage collaboration.
Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects.
Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Many of the best platforms for managing, storing, and analyzing streaming data are Apache open source projects, along with commercial and cloud implementations of those projects.
Although we've called 'continuous intelligence' by different names in the past few decades, the concept is important. Don't be distracted by the label.
Online analytical processing databases speed up the multi-dimensional queries common in business intelligence applications.
Starburst has embraced the data mesh distributed architectural approach to data management, adding new data product capabilities to its flagship Starburst Enterprise software.
Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.
Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models.