Transforms raw data into clean, modeled datasets for analysis and creates analytics infrastructure
Terms (352)
- ๐ API
- ๐งช AWS Glue
- ๐ฅ Acquire Data Sources for Sharing
- โ๏ธ Active Metadata
- ๐งพ Ad-Hoc Report
- ๐ฒ Agglomerative Clustering
- โ Aggregation
- ๐งช Aggregation Pipeline
- ๐งฉ Amalgamated Data
- ๐ฌ Amazon Redshift
- ๐ Analytical Dashboard
- ๐ ๏ธ Analytics Engineer
- ๐งฐ Analytics Engineering
- ๐ซ Anti Join
- ๐ Apache Airflow
- ๐ง Apache Beam
- ๐๏ธ Apache Hudi
- ๐ฆ Apache ORC
- โก Apache Spark SQL
- ๐ Apache Superset
- โ Append-Only
- ๐งฑ Artifacts
- ๐งพ Attribute Naming
- โ๏ธ AutoML
- ๐ค Automated Report
- ๐งช Azure Databricks
- ๐งฎ Azure Synapse
- โ๏ธ Azure Synapse Analytics
- โ๏ธ Azure Synapse Serverless
- ๐ BI Dashboard
- โฉ๏ธ Backfill
- ๐งบ Bag-of-Words
- ๐ฆ Batch Ingestion
- โ๏ธ Bayes Factor
- ๐ฒ Beautiful Soup
- ๐ง BigQuery
- 1๏ธโฃ Binary Encoding
- ๐ Binning
- ๐ Bootstrapping
- ๐ Box Plot
- ๐ Broadcasting
- ๐ฅ Bronze Layer
- ๐ซ๏ธ Brownian Motion
- ๐ชฃ Bucketization
- ๐ Business Intelligence
- ๐ Business Rules
- ๐งญ CRISP-DM
- ๐งฑ Calculated Columns
- ๐ท๏ธ Categorical Data
- ๐ Chart
- ๐๏ธ Chart of Accounts
- ๐ฆ Chunking
- ๐ณ Closure Table
- ๐ข Cloud Data Warehouse
- ๐๏ธ Code Repository
- ๐ Code Review
- ๐ Code Tables
- ๐ข Code Values
- ๐๏ธ Column-Level Security
- ๐ Columnar Storage
- ๐๏ธ Columnar Store
- ๐งท Commit
- โ Concatenate
- โ๏ธ Constraint Checking
- ๐ค Contextual Embeddings
- ๐ Continuous Integration
- ๐ Covering Index
- ๐งฑ Create Table As Select
- ๐ ๏ธ Dagster
- ๐ Dash
- ๐ Data API
- ๐ช Data API Layer
- ๐งน Data Cleaning
- ๐งผ Data Cleansing Tools
- ๐ Data Contracts
- ๐ Data Democratization
- ๐ Data Documentation
- ๐ ๏ธ Data Engineer
- ๐ ๏ธ Data Engineering
- โ Data Enrichment
- ๐ฌ Data Exploration
- ๐งฒ Data Extraction
- โฑ๏ธ Data Freshness
- ๐ Data Granularity
- ๐ Data Integration Tools
- ๐ Data Integrator
- ๐๏ธ Data Lakehouse
- ๐งฎ Data Manipulation Language
- ๐งฉ Data Mapping
- ๐๏ธ Data Mart
- ๐ถ๏ธ Data Masking
- ๐งฉ Data Matching Engines
- ๐ธ๏ธ Data Mesh
- ๐งฉ Data Model Management
- ๐งฉ Data Modeler
- ๐ Data Modeling
- ๐ Data Monitoring
- ๐งญ Data Onboarding
- โก๏ธ Data Pipeline
- ๐งผ Data Preprocessing
- โป๏ธ Data Product Lifecycle
- ๐งญ Data Product Manager
- โ Data Quality
- ๐ก๏ธ Data Quality Gates
- โ Data Quality Tools
- ๐งฉ Data Quantum
- ๐งฑ Data Schema
- ๐ฌ Data Science
- ๐ Data Service
- ๐ฐ๏ธ Data Source
- ๐ณ๏ธ Data Sparsity
- ๐งฐ Data Stack
- โณ Data Staging
- ๐ง Data Transformation
- ๐ Data Types
- โ๏ธ Data Validation
- ๐ฐ Data Vault
- ๐๏ธ Data Versioning
- ๐งฉ Data Virtualization
- ๐ Data Visualization
- ๐ข Data Warehouse
- ๐๏ธ Data Warehousing
- ๐งน Data Wrangling
- ๐ฆ Data as a Product
- ๐งพ DataFrame
- โ๏ธ DataOps
- ๐งฑ Databricks Lakehouse Platform
- ๐๏ธ Datasheet for Datasets
- ๐ฐ Decimal
- ๐งช Deequ
- ฮ Delta Lake
- ๐ Delta Live Tables
- ๐งฎ Derived Attribute
- ๐ Dictionary
- ๐๏ธ Dimension
- ๐งฉ Dimension Table
- ๐ DirectLake
- ๐ฆ Discretization
- ๐ณ Divisive Clustering
- ๐๏ธ Document Store
- ๐ Drill-down
- ๐ฆ DuckDB
- ๐ข Dummy Variables
- ๐ ELT
- ๐ก๏ธ ELTG
- ๐ ETL
- ๐ EU Open Data Portal
- ๐ Equal-Width Binning
- ๐งฎ Explicit Measure
- ๐ Extract-Transform-Load
- ๐๏ธ Fabric Lakehouse
- ๐ฏ Fact
- ๐ Fact Table
- ๐ข Feature
- ๐ฟ Feature Branching
- ๐ง Feature Pipeline
- ๐ Feature Scaling
- ๐ธ๏ธ Federated Query
- ๐๏ธ Filter
- ๐ Fisher Information
- ๐ข Float
- ๐ Flow Variable
- ๐ Frequency Encoding
- ฮป Functional Programming
- ๐ General Ledger Accounts
- ๐บ๏ธ GeoJSON
- ๐ Geocoding
- ๐บ๏ธ Geospatial Analytics
- ๐ฟ Git
- ๐ฅ Gold Layer
- ๐ฅ Golden Record
- ๐ชฃ Google Cloud Storage
- ๐ฌ Granularity
- ๐ธ๏ธ Graph Algorithms
- ๐ Graph Query Language
- ๐ Graph Theory
- ๐ Graph Traversal
- โ Great Expectations
- ๐ HDBSCAN
- ๐ก๏ธ Heatmap
- ๐งญ Hybrid Search
- โ๏ธ Implicit Measure
- ๐ฆ Import Mode
- ๐งฉ Imputation
- ๐ Incremental Refresh
- ๐ Index
- ๐ Indexing
- โ๏ธ Inner Join
- ๐บ๏ธ Isomap
- ๐งพ JSON
- โ JSON Schema
- ๐ Join
- ๐ Jupyter Notebook
- ๐ง KDD
- ๐ Kanban
- ๐งฉ Kernel PCA
- ๐ Kimball Methodology
- ๐ท๏ธ Label Encoding
- โณ Lag
- ๐๏ธ Lakehouse Architecture
- ๐ท๏ธ Lakehouse Domain
- ๐ฒ Law of Total Probability
- โฌ ๏ธ Left Join
- ๐งญ Lineage
- ๐ฆ LlamaIndex
- ๐ Log Transform
- ๐ MAR
- ๐ฒ MCAR
- ๐ Markdown
- ๐ Matplotlib
- โ Mean
- ๐ฉน Mean Imputation
- ๐ Measure
- ๐ Medallion Architecture
- โ๏ธ Median
- ๐ฉน Median Imputation
- ๐ Merge
- ๐ Merge Request
- ๐งญ Metaflow
- ๐ Metrics
- ๐งต Microsoft Fabric
- ๐ Min-Max Scaling
- ๐งฑ Model Data
- โ๏ธ Modern Data Stack
- ๐ฒ Monte Carlo Simulation
- โป๏ธ Multiple Imputation
- โ NaN
- ๐ธ๏ธ Node Classification
- ๐งฉ Normalization (Database)
- ๐ซ Null Handling
- ๐ฃ Numeric Type
- ๐ ODBC
- ๐๏ธ Offline Feature Store
- ๐ Okapi BM25
- ๐ข One-Hot Encoding
- ๐งฎ One-vs-Rest
- ๐ Open Data Contract
- ๐งญ OpenLineage
- ๐ Out-of-Bag Error
- ๐ Outer Join
- ๐ Pagination
- ๐ผ Pandas
- ๐ผ Pandas DataFrame
- ๐ณ Parent-Child Relationship
- ๐งฑ Parquet
- ๐ Pattern Matching
- โฐ Periodic Data Refreshment
- ๐ Pipelines
- ๐ Plotly
- ๐งฉ PolyBase
- ๐ Power BI
- ๐งฐ Power Query
- ๐ Predictive Modeling
- ๐งญ Prefect
- ๐งผ Preprocessing
- โก๏ธ Presto
- ๐ Product Analytics
- ๐ฆ Product Master Data
- ๐งช Profiling
- ๐ฎ Prophet
- ๐ Pull Request
- โ Pydantic
- ๐ Python
- ๐ Q-Q Plot
- ๐ Quantile Binning
- ๐ Quarto
- ๐ Query Federation
- ๐ง Query Optimizer
- ๐ R
- ๐ R Language
- ๐ R Markdown
- ๐ RFC 4180
- ๐งช RStudio
- ๐ฒ Random Walk
- ๐ Rank-Based Feature
- ๐ Ranking
- ๐ฅ Raw Data
- โก Real-time Analytics
- ๐ Regression Model
- ๐ค Regular Expression
- ๐ Report
- ๐ Reporting
- ๐ฆ Repository
- โฉ๏ธ Reverse ETL
- โก๏ธ Right Join
- ๐ Robust Scaling
- ๐ Rolling Window
- ๐งฉ Row Level Changes
- ๐งฑ Row-Level Security
- ๐ SAS
- ๐๏ธ Scheduled Report
- ๐งฑ Schema Design
- ๐ Schema Drift
- ๐งฑ Schema Versioning
- ๐งฉ Schema-less
- ๐๏ธ Schema-on-Read
- ๐งฑ Schema-on-Write
- ๐งฉ Self-Service Analytics
- ๐ ๏ธ Self-Service BI
- ๐ Self-Service Business Intelligence
- ๐ง Semantic Layer
- ๐ Semantic Model
- ๐ Semi Join
- ๐ Series
- โจ Shiny
- ๐ฅ Silver Layer
- ๐ค Sink Data Store
- โ๏ธ Snowflake
- โ Soda Core
- ๐ Source Data Store
- ๐ Source System
- โก Spark SQL
- ๐ Spatial Join
- ๐ Standardization
- ๐งพ Standards as Code
- โญ Star Schema
- ๐งญ Statement
- ๐งน Stopword Removal
- ๐ Streamlit
- ๐ค String
- ๐๏ธ Structural Changes
- ๐ Style Guide
- ๐งต Subquery
- โ Summation
- ๐ Surrogate Key
- ๐๏ธ TSV
- ๐ Tableau
- ๐งฎ Tabular Data
- ๐ Tabular Data Model
- ๐ Tabular Model
- ๐๏ธ Temporary Table
- ๐งฎ Term FrequencyโInverse Document Frequency
- ๐ฏ Training Error
- ๐งพ Transaction Activity Data
- ๐ง Transformation
- ๐ฒ Tree-based Model
- ๐ Trino
- ๐ UTM
- ๐ Unique Constraint
- ๐ Upsert
- โ๏ธ Validation Rules
- ๐งฎ Vectorization
- ๐๏ธ Version Control
- ๐ป Violin Plot
- ๐จ Visual Encoding
- ๐งโ๐ป Visual Studio Code
- ๐๏ธ Warehouse Workspace
- ๐ Workflow
- ๐ ๏ธ dbt
- ๐ ggplot2
- ๐ lakeFS
- ๐ฃ๏ธ spaCy