🔄 Xlytix Data Flow Pipeline

1
Source Connection
Establish secure connection to data source
Authentication
  • API Key / OAuth 2.0
  • Basic Auth / Bearer Token
  • Certificate-based
Validation
  • Connection parameters
  • Network connectivity
  • Permission checks
Security
  • TLS 1.3 encryption
  • Credential encryption
  • VPC/VNet integration
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2
Data Extraction
Fetch data from source with intelligent batching
Extraction Methods
  • Full refresh
  • Incremental (CDC)
  • Timestamp-based
  • Query-based
Optimization
  • Batch processing
  • Parallel execution
  • Pagination handling
  • Rate limiting
Checkpointing
  • Last sync timestamp
  • Record count tracking
  • Resume capability
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3
Schema Detection & Validation
Auto-detect schema and handle drift
Auto-Detection
  • Data type inference
  • Nullable detection
  • Field naming
Drift Handling
  • Added fields
  • Removed fields
  • Type changes
  • Auto-adaptation
Validation
  • Schema comparison
  • Breaking change detection
  • Version tracking
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4
Data Transformation
Apply business rules and transformations
Transformations
  • Type conversions
  • Null handling
  • Column renaming
  • Value mapping
Business Logic
  • Calculated fields
  • Aggregations
  • Joins
  • Filters
Visual Modeling
  • Drag-drop interface
  • KPI definitions
  • Reusable models
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5
Data Quality Checks
Validate data against quality rules
Validation Rules
  • Completeness checks
  • Uniqueness validation
  • Range validation
  • Format validation
Quality Metrics
  • Data profiling
  • Duplicate detection
  • Anomaly detection
  • Consistency checks
Issue Handling
  • Error logging
  • Quarantine records
  • Alert notifications
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6
Data Loading
Write data to target storage or warehouse
Storage Options
  • S3 / ADLS / GCS
  • Snowflake / BigQuery
  • Redshift / Synapse
  • PostgreSQL / ClickHouse
Format Options
  • Parquet (columnar)
  • CSV (text)
  • JSON (document)
  • Avro (binary)
Optimization
  • Compression (Gzip, Snappy)
  • Partitioning
  • Batch writes
  • Upsert operations
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7
Metadata & Lineage
Track data lineage and update catalog
Lineage Tracking
  • Source to target mapping
  • Transformation history
  • Dependency graph
Data Catalog
  • Dataset metadata
  • Schema versions
  • Business glossary
  • Tags & classifications
Governance
  • Access controls
  • Audit trails
  • Compliance tracking
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8
Monitoring & Alerting
Track performance and send alerts
Performance Metrics
  • Sync duration
  • Records per second
  • Data volume
  • API response time
Reliability Metrics
  • Success rate
  • Error rate
  • Retry count
  • SLA compliance
Alerting
  • Failure notifications
  • Anomaly detection
  • Threshold alerts
  • Dashboard updates
📊 Pipeline Performance Metrics
85%
Faster Onboarding
70%
Lower Build Effort
50%
Fewer Support Tickets
2-4
Weeks to Value