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Getting Started
Getting Started
Before You Start
60-Second Overview
Quickstart (Python)
Quickstart (CLI)
Quickstart (Fabric)
Installation
CLI Cheatsheet
Tutorials
Tutorials
Learning Paths
Beginner
Beginner
01: Hello Spindle
02: Explore Domains
03: Custom Schemas
04: Output Formats
Intermediate
Intermediate
05: Star Schema
06: Streaming
07: Chaos Engineering
08: Validation Gates
09: Composite Domains
Fabric
Fabric
10: Fabric Lakehouse
11: Fabric Warehouse
12: Fabric Streaming
13: Medallion Architecture
Advanced
Advanced
14: Scenario Packs
15: GSL Specs
16: Day 2 Operations
17: CI Integration
Guides
Guides
Generation Strategies
Custom Schemas
Distribution Profiles
DDL Import
Schema Learning
Incremental & Day 2
Composite Presets
Semantic Model Export
Chaos Engine
Validation Gates
Verifying Data Quality
Simulation
Streaming
Composite Domains
GSL Specs
MCP Server
Fabric Lakehouse
Fabric Warehouse
Fabric SQL Database
Fabric Notebooks
Fabric Provisioning
Star Schema Export
CDM Export
Troubleshooting
Domains
Domains
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Methodology
API Reference
API Reference
sqllocks_spindle
sqllocks_spindle
chaos
chaos
categories
config
engine
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demo
demo
catalog
cleanup
connections
estimator
manifest
modes
modes
inference
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notebook_gen
orchestrator
output
output
charts
dashboard
semantic_model
terminal
params
scenarios
scenarios
adventureworks
enterprise
healthcare
retail
domains
domains
base
capital_markets
capital_markets
capital_markets
composite
education
education
education
financial
financial
financial
healthcare
healthcare
healthcare
hr
hr
hr
insurance
insurance
insurance
iot
iot
iot
manufacturing
manufacturing
manufacturing
marketing
marketing
marketing
pulse
pulse
pulse
real_estate
real_estate
real_estate
retail
retail
retail
shared_registry
supply_chain
supply_chain
supply_chain
telecom
telecom
telecom
engine
engine
async_job_store
chunk_worker
chunked_generator
correlation
data
data
names
generator
id_manager
job_tracker
rules
rules
business_rules
scale_router
sink_registry
sinks
sinks
base
kql
lakehouse
memory
parquet
sql_database
warehouse
spark_router
strategies
strategies
base
composite_foreign_key
computed
conditional
correlated
derived
distribution
empirical
enum
faker_strategy
first_per_parent
foreign_key
formula
lifecycle
lookup
native
pattern
record_field
record_sample
reference_data
scd2
self_referencing
sequence
temporal
uuid_strategy
stream_manager
table_generator
fabric
fabric
credentials
eventhouse_writer
eventstream_client
lakehouse_files_writer
multi_writer
notebook_template
onelake_paths
semantic_model_writer
setup_environment
sql_database_writer
stream_writer_convenience
warehouse_bulk_writer
incremental
incremental
continue_config
continue_engine
time_travel
inference
inference
advanced_profiler
comparator
database_profiler
lakehouse_profiler
masker
profile_io
profile_store
profiler
safe_profile
safe_profile_adapter
safe_validator
schema_builder
tier2_profiler
tier3_research
manifests
manifests
run_manifest
mcp_bridge
mcp_bridge_server
notebooks
observability
output
output
csv_writer
delta_writer
fabric_utils
multi_store_writer
pandas_writer
packs
packs
loader
runner
validator
presets
presets
builtin
registry
profiles
profiles
profile
registry
schema
schema
ddl_parser
dependency
inference
inference
business_rule_inference
cardinality_inference
column_classifier
correlation_inference
enum_inference
fk_distribution
numeric_inference
table_classifier
temporal_inference
parser
validator
simulation
simulation
clickstream_patterns
file_drop
financial_patterns
hybrid
iot_patterns
operational_log_patterns
pulse_patterns
scd2_file_drops
state_machine
stream_emit
specs
specs
gsl_parser
streaming
streaming
anomaly
config
envelope
multi_writer
rate_limiter
sinks
sinks
console_sink
eventhub_sink
file_sink
kafka_sink
stream_writer
streamer
transform
transform
cdm_mapper
star_schema
validation
validation
gates
quarantine
verify
verify
loader
report
runner
Changelog
Table of contents
data
data
sqllocks_spindle.engine.data
¶
Pre-built data arrays for native vectorized generation.
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