Data Storage & Operations

Operational management of databases and platforms

Domain: Data Engineering & Integration

Terms (418)

• 🧱 ACID
• ✅ ACID Transactions
• ⚙️ AI Accelerator
• 🧾 ANSI SQL
• 🔤 ASCII
• 🕸️ Adjacency List
• 🧪 Aggregation Pipeline
• 🗃️ Amazon DynamoDB
• 🐘 Amazon EMR
• 🕸️ Amazon Neptune
• 🗃️ Amazon S3
• 🧱 Apache Cassandra
• 🗄️ Apache HBase
• 🐝 Apache Hive
• 🗂️ Apache Hudi
• 🧊 Apache Iceberg
• 📦 Apache ORC
• 🐷 Apache Pig
• 🔎 Apache Solr
• ⚙️ Apache Spark
• 🧩 Apache TinkerPop
• ➕ Append-Only
• ➕ Append-Only Log
• 🧭 Approximate Nearest Neighbor
• 🎯 Approximate Nearest Neighbor Search
• 🗄️ Archiving
• 🧱 Atomicity
• 🔄 Atomicity (ACID)
• 📦 Avro
• 🗂️ Azure Blob Storage
• 🌍 Azure Cosmos DB
• 🗂️ Azure Data Lake Storage
• 🌳 B-Tree
• 🌲 B-tree Index
• 🧪 BASE
• 🧩 BLOB
• 🔖 BOM
• 💾 BSON
• 💾 Backup
• 🛡️ Backup and Recovery
• 🔎 Backward Engineering
• 📦 Batch Inference
• 📦 Batch Ingestion
• 📦 Batch Processing
• 💾 Big Data
• 🧠 BigQuery
• 💾 Block Storage
• 🧹 Bloom Filter
• 🧩 Bose–Chaudhuri–Hocquenghem Code
• 🧠 Buffer
• ⚖️ CAP Theorem
• 🧰 CRUD
• 🗂️ CSV
• ⚡ Cache
• ⚡ Cache Hit
• 🔄 Cache Miss
• 🧱 Calculated Columns
• 🔢 Cardinality
• 🔢 Cardinality Estimation
• ✖️ Cartesian Product
• 🔁 Causal Consistency
• 🗄️ Ceph
• 🧩 Certificates and Web Servers
• 🔄 Change Data Capture
• 🧷 Checkpoint
• 🧩 Checkpointing
• ⚡ ClickHouse
• 🌳 Closure Table
• 🗃️ Clustered Index
• 🪳 CockroachDB
• 📡 Coding Theory
• 🗂️ Column-Family Store
• 🗂️ Column-Level Security
• 🧮 Columnar Database
• 📊 Columnar Storage
• 🏛️ Columnar Store
• 🔗 Composite Key
• 🗜️ Compression
• 📉 Compression Ratio
• 🤝 Consensus Algorithm
• ⚖️ Consistency
• ✅ Consistency (ACID)
• ⚖️ Consistency Model
• 🔗 Consistent Hashing
• 📏 Constraints
• 🧩 Content Addressable Storage
• 🧠 Cost-Based Optimizer
• 🧩 Couchbase
• 📚 Covering Index
• 🧱 Create Table As Select
• 🎯 Cursor
• 🕸️ Cypher
• 🕸️ Cypher Query Language
• 🏗️ DDL
• 📦 Data Archival
• 🗄️ Data Archiving
• 🟢 Data Availability
• 🛟 Data Backup and Recovery
• 🗜️ Data Compression
• 🔗 Data Consistency
• 🔐 Data Control Language
• 🛠️ Data Custodianship
• ♻️ Data Deduplication
• 🧹 Data Deletion
• 🗑️ Data Disposal
• 🛠️ Data Engineer
• 🛠️ Data Engineering
• 🌊 Data Lake
• 🔄 Data Lifecycle
• 🔄 Data Lifecycle Management
• 🧮 Data Manipulation Language
• 🧩 Data Normalization
• 💾 Data Persistence
• ➡️ Data Pipeline
• 🗑️ Data Purging
• 🧯 Data Redundancy
• 🛡️ Data Reliability
• 🧬 Data Replication
• 🗄️ Data Repository
• ⏳ Data Staging
• 🔁 Data Synchronization
• 🗃️ Data Tiering
• 🔠 Data Types
• 📦 Data Volume
• 🏢 Data Warehouse
• 🗄️ Database
• 🗄️ Database Management System
• 🧩 Database Normalization
• 📅 Date Format
• ⛔ Deadlock
• 💰 Decimal
• 🧪 Deequ
• Δ Delta Lake
• 🛡️ Disaster Recovery
• 🌐 Distributed Database
• 🧭 Distributed Hash Table
• 📄 Document Database
• 🗃️ Document Store
• 🦆 DuckDB
• 💾 Durability
• 🧱 Durability (ACID)
• 🛠️ EXPLAIN
• ⚡ Efficiency
• 🔎 Elasticsearch
• 🏥 Electronic Health Record
• 🔤 Encoding
• 🔒 Encryption at Rest
• 🔗 Entity-Relationship Model
• 🧩 Erasure Coding
• 🛡️ Error-Correcting Code
• 📜 Event Log
• ⏳ Eventual Consistency
• 🗺️ Explain Plan
• 🕸️ Federated Query
• 📁 File Storage
• 🗂️ File System
• 🔎 Filtering
• 📄 Flat File
• 🔢 Float
• 🔗 Foreign Key
• 🏗️ Forward Engineering
• 💾 Full Backup
• 🔎 Full-Text Search
• 🔗 Functional Dependency
• 🗺️ GeoPackage
• 🔢 Geohash
• 🗃️ Google Bigtable
• 🗃️ Google Cloud Bigtable
• 🪣 Google Cloud Storage
• 🌍 Google Spanner
• 🕸️ Graph Database
• 🔎 Graph Query Language
• 🔀 Graph Traversal
• 🕸️ Gremlin
• 🔀 HAProxy
• 🧱 HDFS
• 🕸️ HNSW
• 🐘 Hadoop
• ️⃣ Hash Index
• 🔀 Hash Partitioning
• 🔑 Hash Table
• 🔑 Hashing
• 🏷️ Header
• 🏗️ Heap
• 🌲 Hierarchical Data
• 🛡️ High Availability and Disaster Recovery
• 🔢 High Cardinality
• ⚡ High Frequency Data
• 📦 Hinted Handoff
• 🕰️ Historical Versions
• 📈 Horizontal Scaling
• 🎯 IVF-PQ
• 💾 Incremental Backup
• 📇 Index
• 🔍 Indexing
• 📈 InfluxDB
• ♻️ Information Lifecycle Management
• ↔️ Inner Join
• 🛢️ InnoDB
• 🧾 Instance Data
• ️⃣ Integer
• 🖥️ Intel
• 🗂️ Inverted File Index
• 📚 Inverted Index
• 🔒 Isolation
• 🔒 Isolation (ACID)
• 🕸️ JanusGraph
• ☕ Java Database Connectivity
• 🔗 Join
• 🔑 Key
• 🔑 Key-Value Store
• 🕒 Lamport Clock
• ⏱️ Latency
• 👑 Leader Election
• ⬅️ Left Join
• 🗜️ Lempel–Ziv
• ♻️ Lifecycle Policies
• 🧩 Linearizability
• 🗂️ List Partitioning
• 🚦 Load Shedding
• 🗄️ Local Data Store
• 🧭 Locality-Sensitive Hashing
• 🔒 Locking
• 🌲 Log-Structured Merge-Tree
• 🗜️ Lossless Compression
• 🌀 Lossy Compression
• 🧊 MOLAP
• 🏗️ Manufacturing Execution Systems
• 🗺️ MapReduce
• 🐬 MariaDB
• 🌲 Materialized Path
• 🧠 Memory
• 📶 Memory Bandwidth
• 🧱 Memory Layout
• 🔀 Merge
• 🌳 Merkle Tree
• 🚚 Migration
• 🗂️ Milvus
• 🗄️ MinIO
• 📦 Model Size
• 🗃️ MongoDB
• 🌐 Multi-Region Replication
• 🔁 Multiversion Concurrency Control
• 🐬 MySQL
• ∅ NaN
• 🗂️ Named Graph
• 🕸️ Neo4j
• 🌳 Nested Set Model
• 🕸️ Network Partition
• 🧱 NewSQL
• 🧱 NewSQL Database
• 🧰 NoSQL
• 🗃️ NoSQL Database
• 🧩 Normalization
• 🧩 Normalization (Database)
• ∅ Null Value
• 🎯 Numeric Precision
• 🔣 Numeric Type
• 🔌 ODBC
• ⚙️ OLTP
• 🗃️ ORC
• 🗄️ Object Storage
• 🧩 Object-Relational Mapping
• 🗄️ Offline Feature Store
• ⚡ Online Feature Store
• ⚡ Online Transaction Processing
• 🧭 OpenSearch
• ⚙️ Operational Metrics
• ⚙️ Operations
• 🔄 Optimistic Concurrency Control
• 🛢️ Oracle Database
• 🗺️ Oracle Spatial
• 🔗 Outer Join
• ⚙️ Overhead
• 🗃️ PGAdmin
• 🌳 Parent-Child Relationship
• 🧱 Parquet
• 🧩 Partition
• 🗂️ Partition Pruning
• 🧩 Partitioning
• 🏛️ Paxos
• ⚙️ Performance Tuning
• 💾 Persistence
• 🧱 Physical Data Model
• 🕰️ Point-in-Time Recovery
• 🗃️ Polyglot Persistence
• ⚙️ Post-Training Quantization
• 🗺️ PostGIS
• 🐘 PostgreSQL
• ✅ Predicate
• ⚙️ Predicate Pushdown
• 🔑 Primary Key
• 📦 Product Quantization
• ⛏️ Proof of Work
• ⏱️ Propagation Delay
• 🕸️ Property Graph
• 🧩 Quadtree
• 🔎 Query
• ⚡ Query Caching
• 🛣️ Query Execution Plan
• 💬 Query Language
• 🚀 Query Optimization
• 🧠 Query Optimizer
• 🧭 Query Planner
• 🌲 R-Tree
• 🗄️ RDBMS
• 📄 RFC 4180
• 🚣 Raft
• 🗂️ Range Partitioning
• 📥 Raw Data
• 🔒 Read Committed
• 🔁 Read-Your-Writes Consistency
• ⏱️ Recovery Point Objective
• ⏳ Recovery Time Objective
• 🔁 Recursive Relationships
• ⚡ Redis
• 🧪 Reed–Solomon Code
• 🗃️ Referential Integrity
• 🔗 Relation
• 🗂️ Relational Database
• 🗃️ Relational Model
• 📊 Relational Table
• 🧬 Replicate
• 🔁 Replication
• ⏱️ Response Time
• 🔄 Restore
• ↩️ Reversibility
• ➡️ Right Join
• ↩️ Rollback
• 🧩 Row Level Changes
• 🧱 Row Store
• 📚 Row-Based Storage
• 🧱 Row-Level Security
• 🧱 Row-Oriented Storage
• 🧠 Rule-Based Optimization
• 🧩 Rule-Based Optimizer
• 🗜️ Run-Length Encoding
• 🧊 S3 Glacier
• 🧮 SQL
• 🗃️ SQLite
• 💾 SSD
• 💾 Savepoint
• 📏 Scalar Quantization
• 🧩 Schema
• 🧱 Schema Design
• 🧩 Schema Evolution
• 🧩 Schema-less
• 🗃️ Schema-on-Read
• 🔎 Search Index
• 🧠 Semantic Graph
• 🔍 Semi Join
• 🧩 Semi-structured Data
• ⚙️ Sequential Consistency
• 🧱 Serializable Isolation
• 📦 Serialization
• ➕ Set Operations
• 🗂️ Shapefile
• 🗝️ Shard Key
• 🧩 Sharding
• 🗃️ Single Table Design
• 📤 Sink Data Store
• 🪜 Skip List
• 📸 Snapshot Isolation
• 🖼️ Snapshotting
• 🗑️ Soft Delete
• 🔌 Source Data Store
• ⚡ Spark Structured Streaming
• 🧭 Spatial Index
• 🧠 State Machine Replication
• 🗄️ Steganographic File Systems
• 🧩 Stored Procedure
• ✅ Strong Consistency
• 🏗️ Structural Changes
• 🗂️ Structured Data
• 🧵 Subquery
• 🔑 Surrogate Key
• ⏳ TTL
• 📋 Table
• 🧮 Tabular Data
• 📼 Tape Storage
• 🕰️ Temporal Data
• 🗂️ Temporary Table
• ⚡ Throughput
• 🗃️ Tiered Storage
• ⏱️ Time Series Database
• 🕰️ Time Travel
• 🕰️ Time Travelling
• ⏱️ Time-Series Data
• ⏱️ TimescaleDB
• 🔒 Transaction
• 📜 Transaction Log
• 🧾 Transactional Data
• 💧 Transactionally Consistent Data Lake
• 🎯 Triggers
• 🔗 Triple Store
• 📦 Tuple
• 🧩 Two-Phase Commit
• 🔡 UTF-16
• 🔠 UTF-32
• 🔒 Unique Constraint
• 🔁 Upsert
• 🎮 VRAM
• 🧭 Vector Clock
• 🧲 Vector Database
• 🧭 Vector Index
• ⚡ Vectorized Execution
• ⬆️ Vertical Scaling
• 🪟 View
• 📦 Volume
• 🗂️ Weaviate
• 📦 Well-Known Binary
• 🧾 Well-Known Text
• 🗂️ Wide-Column Store
• 🧾 Write-Ahead Logging
• 🧩 XQuery
• 🧶 YARN
• 🗝️ etcd
• 🔀 lakeFS