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
Time Travel
Discover how time travel in Delta Lake lets you analyze historical data for rollbacks, data recovery, time-series analytics, and regulatory compliance.
Data Warehouse
Time-series Database
Time-series Database is a specialized type of database designed for efficiently storing, processing, and analyzing time-stamped data.
Data Storage
Time-series Databases
Time-series Databases is a specialized type of database designed to handle and analyze time-stamped data efficiently.
Data Management
Time-variant Data
Time-variant Data is a form of data that captures and preserves changes over time for effective data analysis and processing.
Data Analysis
To-Be Analysis
To-Be Analysis is an approach used to design and optimize business processes for improved efficiency and effectiveness.
Data Analysis
Tokenization in NLP
Tokenization in NLP is the process of dividing text into smaller units called tokens for easier analysis and processing.
DataOps
Training Data Management
Training Data Management is the process of effectively managing and organizing the data used for training machine learning models.
Data Management
Transaction Deadlocks
Transaction Deadlocks is a state where two or more transactions are waiting on each other to release their locks and prevent any further progress.
DataOps
Transaction Log
Transaction Log is a record of all modifications and changes to a database, providing a detailed history of the data's processing and aiding in recovery.
Data Processing
Transaction Log Processing
Transaction Log Processing is the analysis and utilization of transaction logs to optimize data processing and analytical workflows.
Data Management
Transactional Recovery
Transactional Recovery is the process of restoring data in a database to its previous state after a failure or system crash while ensuring data integrity.
Machine Learning
Transfer Learning
Transfer Learning is a machine learning technique that leverages knowledge gained from pre-trained models to improve the performance of new tasks.
Data Analysis
Transfer Learning in NLP
Transfer Learning in NLP is a technique that leverages pre-trained models to improve the performance of natural language processing tasks.
AI
Transformer Models
Transformer Models is a powerful machine learning architecture that revolutionizes natural language processing and other sequence-based tasks.
Data Analysis
Transformers in NLP
Transformers in NLP is a machine learning technique that uses self-attention mechanisms to process and analyze natural language data efficiently.