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 Management
Machine Learning Operations
Machine Learning Operations is the practice of managing and optimizing the deployment, maintenance, and scalability of machine learning models and data pipelines.
Machine Learning
Machine Learning Pipelines
Machine Learning Pipelines is a framework that streamlines the process of building and deploying machine learning models.
Data Analysis
MapReduce Programming Model
MapReduce Programming Model is a data processing and analytics framework that simplifies parallel processing of large datasets.
Data Security
Masking
Masking is a technique used to protect sensitive data by replacing it with fictional or modified values.
Data Processing
Massively Parallel Processing
Massively Parallel Processing is a data processing technique that divides tasks into smaller sub-tasks and executes them in parallel across multiple processors or computing nodes.
Data Management
Master Data
Master Data is a centralized repository of consistent and accurate data that serves as a single source of truth for an organization's critical business data.
Data Governance
Master Data Management
Master Data Management is a process that ensures consistent and accurate data across an organization's different systems and applications.
Data Architecture
Master-Slave Architecture
Master-Slave Architecture is a distributed computing model where a single main node controls and coordinates multiple subordinate nodes.
Data Engineering
Mastering JSON Data
JSON is a widely used data format that enables easy exchange of information between systems.
Data Modeling
Materialized View
Explore Materialized View, its advantages in data processing and analytics, and its role in data lakehouse environments.
Data Storage
Materialized Views
Materialized Views is a database feature that allows users to optimize, update, and migrate data from a traditional relational database to a data lakehouse environment.
Data Analysis
Matrix Factorization
Matrix Factorization is a method that extracts latent factors from a matrix to uncover meaningful patterns and relationships in data.
Data Engineering
Merging
Merging is the process of combining multiple datasets or data sources into a single, unified dataset for easier data processing and analysis.
DataOps
Metadata
Metadata is information that provides context and meaning to data, making it easier to manage, process, and analyze.
Data Management
Metadata Discovery
Metadata Discovery is the process of automatically identifying, cataloging, and understanding metadata about a company's data assets.
