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 Architecture
Dremio Data Mesh: Insights and Practices
Data Mesh is a decentralized approach to data architecture that aims to improve data processing and analytics in organizations.
Multidimensional Analysis
Dremio Reflections
Dremio Reflections is a feature in Dremio that helps optimize query performance by automatically creating and maintaining optimized physical representations of data.
Data Management
Drill-across Query
Drill-across Query is a data analytics technique that allows users to navigate through different dimensions and levels of detail in their data.
Data Management
Drill-through Query
Drill-through Query is a data processing technique that allows users to navigate from summary data to detailed data with a single click.
Data Analysis
Drill-Up Analysis
Drill-Up Analysis is a data analysis technique that allows users to navigate from detailed data to higher-level aggregated data.
AI
Dropout in Neural Networks
Dropout in Neural Networks is a regularization technique that helps prevent overfitting and improves the generalization and performance of the model.
Data Storage
Druid
Druid is an open-source, real-time, columnar data store designed for fast data ingestion and OLAP queries.
Data Modeling
DSS database shapes
DSS database shapes is a concept that refers to the different ways data can be structured and organized within a data lakehouse environment.
Data Security
Dynamic Data Masking
Dynamic Data Masking is a data protection technique that limits sensitive information exposure by masking or obfuscating data in real time.
Data Storage
DynamoDB
DynamoDB is a fully-managed NoSQL database service that provides fast and predictable performance with seamless scalability.
Data Management
Eager Evaluation
Explore Eager Evaluation, its advantages in data processing, and its role in a data lakehouse environment.
Machine Learning
Early Stopping
Early Stopping is a technique used in machine learning to prevent overfitting and find the optimal point to stop training a model.
Cloud Computing
Edge Computing
Edge Computing is a distributed computing approach that brings computation and data storage closer to the location where it is needed.
Data Architecture
Edge Node
Edge Node is a locally deployed compute and storage device that enables data processing and analytics at the edge of a network.
Cloud Computing
Elasticity in Computing
Elasticity in Computing is the ability to dynamically allocate and deallocate computing resources to meet changing demands efficiently.
