Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records. The data removed in this process is often referred to as “dirty data”. Data cleaning is a necessary process to protect data quality. Large businesses with extensive datasets or assets typically use automated tools and algorithms to detect such records and correct common errors (such as missing zip codes in customer records).
The most powerful big data circles have rigorous data cleanup tools and processes to ensure that data quality is protected and trust in datasets is high for all types of users.
Run-time or run-time computing refers to the type of computing in which multiple computing tasks occur simultaneously or at overlapping times
Dijital dönüşümün en önemli bileşenlerinden biri olan buluta geçiş (cloud migration), bir kurumun mevcut veri, uygulama ve altyapısının bulut tabanlı bir çevreye taşınması sürecidir.
İleri analitik (Advanced Analytics), organizasyonların stratejik karar alma süreçlerini iyileştirmek için büyük veri ve gelişmiş teknolojiler kullanarak derinlemesine öngörüler elde etmeyi amaçlayan bir veri analiz yöntemidir.
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