--- title: How to Ingest Data into a Datalake Using Multiple Filter Conditions date: 2026-01-19T09:02:35Z modified: 2026-07-06T20:00:31Z permalink: "https://ezintegrations.ai/product/datalake-ingestion-using-multiple-filter/" type: product status: publish excerpt: "[stable_attributes slugs=\"pa_workflow-name|pa_category|pa_purpose|pa_outcome|pa_benefit|pa_who-uses-it|pa_industry|pa_system-type|pa_on-premise-supported\"]" wpid: 6798 product_type: - simple product_cat: - Workflow Automation pa_accuracy: - High via validation pa_ack-handling: - Logging pa_ai-ml-step: - Not required pa_api-endpoint-url: - "-" pa_auth-type: - "-" pa_batch-size: - Configurable pa_benefit: - Structured data in Datalake pa_blog: - "https://ezintegrations.ai/automation-stack/" pa_business-impact: - Faster; accurate data availability pa_cloud-support: - Hybrid pa_cost-reduction: - Lower operational overhead pa_cost-savings: - Reduces labor and errors pa_customer-name: - Data Team pa_duration: - "6:51" pa_error-handling: - Log and retry failed ingestion pa_function: - Data Ingestion pa_http-method: - "-" pa_industry: - Analytics / Data Engineering pa_key-features: - Filter; validate; ingest; schedule pa_kpi-improved: - Data availability; ingestion speed pa_latency: - Seconds/minutes pa_logging-monitoring: - ingestion logs pa_on-premise-supported: - "Yes" pa_orchestration-trigger: - On upload or scheduled pa_outcome: - Filtered records ingested into Datalake pa_pagination: - "-" pa_parallelism: - Multi-source concurrent pa_primary-users: - Data Engineers; Analysts pa_problem: - Manual ingestion from multiple sources pa_problem-before: - Manual ingestion from multiple sources pa_productivity: - Faster ingestion pa_productivity-gain: - Removes manual ingestion pa_purpose: - Ingest filtered records into Datalake pa_rate-limit: - "-" pa_roi: - Faster workflows; reduced errors pa_scalability-tier: - Enterprise pa_scheduling: - Real-time or batch pa_schema-objects: - Filtered records pa_security-compliance: - Secure connection pa_solution: - Automated filtered ingestion pa_solution-overview: - Automated ingestion using multiple filter conditions pa_source-name: - Multiple Sources pa_source-object: - Multiple Source Records pa_source-type: - API / Database / Email pa_supported-protocols: - API; DB; Email pa_system-type: - Data Integration Workflow pa_target-method: - API / Batch Upload pa_target-name: - Datalake pa_target-object: - Datalake pa_target-type: - Datalake pa_throughput: - High-volume records pa_time-savings: - Removes manual ingestion pa_transformation-ops: - Filter; validate; normalize pa_use-case-type: - Data Integration pa_video-title: - API to API integration using 2 filter operations pa_who-uses-it: - Data Teams; Analytics pa_workflow-name: - With Target as Datalake but More Than 1 Filter Condition featured_image: "https://ezintegrations.ai/wp-content/uploads/2026/01/image-4.png" featured_image_alt: Datalake Multi Filter Workflow author: Automation Hub --- ## Description ### **With Target as Datalake but More Than 1 Filter Condition** The Datalake Multi Filter Workflow ingests records after applying multiple filter conditions, ensuring only high-quality and relevant data is loaded into the Datalake. This supports reliable analytics and reporting. ### **Advanced Filtering for High-Quality Datalake Ingestion** The system applies multiple predefined filters to incoming data, validates the results, and loads the refined records into the Datalake in near real time. This workflow helps data and analytics teams improve data quality, reduce noise, and maintain well-structured datasets. ## Topics **Product type:** [simple](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/product_type/simple.md) **Product categories:** [Workflow Automation](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/product_cat/workflow-automation.md) **Product Accuracy:** [High via validation](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_accuracy/high-via-validation.md) **Product Ack Handling:** [Logging](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_ack-handling/logging.md) **Product AI/ML Step:** [Not required](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_ai-ml-step/not-required.md) **Product API Endpoint URL:** [-](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_api-endpoint-url/9566.md) **Product Auth Type:** [-](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_auth-type/9568.md) **Product Batch Size:** [Configurable](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_batch-size/configurable.md) **Product Benefit:** [Structured data in Datalake](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_benefit/structured-data-in-datalake.md) **Product Blog:** [https://ezintegrations.ai/automation-stack/](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_blog/https-ezintegrations-ai-automation-stack.md) **Product Business Impact:** [Faster; accurate data availability](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_business-impact/faster-accurate-data-availability.md) **Product Cloud Support:** [Hybrid](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_cloud-support/hybrid.md) **Product Cost Reduction:** [Lower operational overhead](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_cost-reduction/lower-operational-overhead.md) **Product Cost Savings:** [Reduces labor and errors](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_cost-savings/reduces-labor-and-errors.md) **Product Customer Name:** [Data Team](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_customer-name/data-team.md) **Product Duration:** [6:51](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_duration/651.md) **Product Error Handling:** [Log and retry failed ingestion](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_error-handling/log-and-retry-failed-ingestion.md) **Product Function:** [Data Ingestion](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_function/data-ingestion.md) **Product HTTP Method:** [-](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_http-method/9567.md) **Product Industry:** [Analytics / Data Engineering](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_industry/analytics-data-engineering.md) **Product Key Features:** [Filter; validate; ingest; schedule](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_key-features/filter-validate-ingest-schedule.md) **Product KPI Improved:** [Data availability; ingestion speed](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_kpi-improved/data-availability-ingestion-speed.md) **Product Latency:** [Seconds/minutes](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_latency/seconds-minutes.md) **Product Logging/Monitoring:** [ingestion logs](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_logging-monitoring/ingestion-logs.md) **Product On-Premise Supported:** [Yes](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_on-premise-supported/yes.md) **Product Orchestration Trigger:** [On upload or scheduled](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_orchestration-trigger/on-upload-or-scheduled.md) **Product Outcome:** [Filtered records ingested into Datalake](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_outcome/filtered-records-ingested-into-datalake.md) **Product Pagination:** [-](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_pagination/9570.md) **Product Parallelism:** [Multi-source concurrent](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_parallelism/multi-source-concurrent.md) **Product Primary Users:** [Data Engineers; Analysts](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_primary-users/data-engineers-analysts.md) **Product Problem:** [Manual ingestion from multiple sources](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_problem/manual-ingestion-from-multiple-sources.md) **Product Problem Before:** [Manual ingestion from multiple sources](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_problem-before/manual-ingestion-from-multiple-sources.md) **Product Productivity:** [Faster ingestion](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_productivity/faster-ingestion.md) **Product Productivity Gain:** [Removes manual ingestion](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_productivity-gain/removes-manual-ingestion.md) **Product Purpose:** [Ingest filtered records into Datalake](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_purpose/ingest-filtered-records-into-datalake.md) **Product Rate Limit:** [-](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_rate-limit/9569.md) **Product ROI:** [Faster workflows; reduced errors](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_roi/faster-workflows-reduced-errors.md) **Product Scalability Tier:** [Enterprise](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_scalability-tier/enterprise.md) **Product Scheduling:** [Real-time or batch](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_scheduling/real-time-or-batch.md) **Product Schema/Objects:** [Filtered records](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_schema-objects/filtered-records.md) **Product Security & Compliance:** [Secure connection](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_security-compliance/secure-connection.md) **Product Solution:** [Automated filtered ingestion](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_solution/automated-filtered-ingestion.md) **Product Solution Overview:** [Automated ingestion using multiple filter conditions](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_solution-overview/automated-ingestion-using-multiple-filter-conditions.md) **Product Source Name:** [Multiple Sources](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_source-name/multiple-sources.md) **Product Source Object:** [Multiple Source Records](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_source-object/multiple-source-records.md) **Product Source Type:** [API / Database / Email](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_source-type/api-database-email.md) **Product Supported Protocols:** [API; DB; Email](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_supported-protocols/api-db-email.md) **Product System Type:** [Data Integration Workflow](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_system-type/data-integration-workflow.md) **Product Target Method:** [API / Batch Upload](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_target-method/api-batch-upload.md) **Product Target Name:** [Datalake](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_target-name/datalake.md) **Product Target Object:** [Datalake](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_target-object/datalake.md) **Product Target Type:** [Datalake](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_target-type/datalake.md) **Product Throughput:** [High-volume records](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_throughput/high-volume-records.md) **Product Time Savings:** [Removes manual ingestion](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_time-savings/removes-manual-ingestion.md) **Product Transformation Ops:** [Filter; validate; normalize](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_transformation-ops/filter-validate-normalize.md) **Product Use Case Type:** [Data Integration](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_use-case-type/data-integration.md) **Product Video Title:** [API to API integration using 2 filter operations](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_video-title/api-to-api-integration-using-2-filter-operations.md) **Product Who Uses It:** [Data Teams; Analytics](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_who-uses-it/data-teams-analytics.md) **Product Workflow Name:** [With Target as Datalake but More Than 1 Filter Condition](https://ezintegrations.ai/wp-content/uploads/wp-mfa-exports/taxonomy/pa_workflow-name/with-target-as-datalake-but-more-than-1-filter-condition.md)