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!
Data Analysis
Presto Query Engine
Presto Query Engine is a distributed SQL query engine designed for fast and interactive analytics on big data.
Data Analysis
Principal Component Analysis
Principal Component Analysis is a statistical technique used to reduce the dimensionality of data while retaining important information.
Data Engineering
Profiling
Profiling is the process of analyzing and understanding the structure, quality, and patterns of data to optimize its use in data processing and analytics.
AI
Q-Learning
Q-Learning is a reinforcement learning technique that enables machines to make optimal decisions based on trial and error.
Data Quality
Quality Assessment
Quality Assessment is the process of evaluating the accuracy, completeness, reliability, and consistency of data, ensuring its fitness for specific purposes.
Data Management
Query Execution Plan
Query Execution Plan is a detailed blueprint that outlines the steps and strategies for executing a database query.
Data Search and Indexing
Query Federation
Explore the power of Query Federation: Advantages, limitations, and best practices. Discover how it fits in a Data Lakehouse for seamless data integration
Data Management
Query Folding
Explore Query Folding, its advantages for businesses, and its role in a data lakehouse environment.
Data Analysis
Query Language
Query Language is a standard language used to retrieve, manipulate, and analyze data in databases or data lakehouse environments.
Data Processing
Query Optimization
Query Optimization is the process of improving the performance of database queries by selecting the most efficient execution plan.
DataOps
Query Performance
Query Performance is the ability of a system to execute database queries efficiently, enabling faster data processing and analytics.
Data Processing
Quorum-based Consistency
Quorum-based Consistency is a data management approach that ensures data consistency and availability in distributed systems.
Machine Learning
Random Forests
Random Forests is a machine learning algorithm that combines multiple decision trees to make accurate predictions.
Data Management
Range Partitioning
Range Partitioning is a data organization technique that divides data into ranges based on a specified criteria.
Data Management
Raw Data
Raw Data is unprocessed and untampered data that is collected from various sources.
