Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
Google Pub/Sub is a message-based publish-subscribe service offered by Google Cloud Platform (GCP). This system offers a reliable, asynchronous and scalable messaging infrastructure between applications.
Advanced Fraud Detection is an approach that uses advanced technologies such as artificial intelligence, machine learning, and big data analytics to detect and prevent fraud
Product Analytics is a data-driven process used to understand how a product is interacting with users, measuring and improving its performance.
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