Data Mastery Hub: Term Resource for Data Professionals
Whether you're a newcomer to the world of big data and data lakes or an experienced pro looking to expand your knowledge, the Dremio Wiki provides insights and guidance for all your data-related needs. Dive in and unlock the power of your data today!
Machine Learning
Pattern Recognition
Pattern Recognition is the process of identifying and classifying patterns in data to make predictions or gain insights.
Data Architecture
Peer-to-Peer Architecture
Peer-to-Peer Architecture is a decentralized computing model that allows for direct communication and resource sharing between devices or nodes in a network.
DataOps
Performance Optimization
Performance Optimization is the process of improving the efficiency and speed of data processing and analytics by making strategic modifications to the underlying systems and infrastructure.
Data Storage
Persistent Storage
Persistent Storage is a centralized data storage solution that provides long-term, durable storage for large volumes of data.
Data Storage
Petabyte-Scale Data Lake
Petabyte-Scale Data Lake is a massive storage system that allows businesses to store and analyze large volumes of data in a structured and efficient manner.
Data Search and Indexing
Physical Index
Physical index is a data management technique that optimizes data processing and analytics by organizing and accessing data efficiently.
Multidimensional Analysis
Pivot Tables
Pivot Tables is a data processing technique that allows users to summarize and analyze large datasets in a flexible and dynamic manner.
Data Management
Platform Engineering
Explore Platform Engineering's role in optimizing data processing and analytics, and its integration with data lakehouses.
Data Storage
Polyglot Persistence
Polyglot Persistence is a data storage strategy that allows businesses to use multiple data storage technologies to optimize data processing and analytics.
AI
Pooling Layers
Pooling Layers is a technique in deep learning that reduces the spatial dimensions of input data, bringing efficiency and improved performance to data processing and analytics.
Machine Learning
Precision and Recall
Precision and Recall is an evaluation metric used in information retrieval and machine learning to measure the effectiveness of a predictive model.
Data Management
Predicate Pushdown
Discover the benefits of predicate pushdown, explore its role in data processing, and learn how it supports data lakehouse environments.
Data Analytics
Predictive Analytics
Predictive Analytics is a technique that uses historical and real-time data to make informed predictions about future outcomes, enabling businesses to make data-driven decisions.
Machine Learning
Predictive Modeling
Predictive Modeling is a technique used in data analysis that involves creating models to predict future events or outcomes based on historical data.
Data Analytics
Prescriptive Analytics
Prescriptive Analytics is the practice of utilizing data, statistical algorithms, and machine learning techniques to recommend the best course of action in decision-making processes.
