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Beverage
1.8
20 members

Beverage Data Integration & Monitoring Platform

Modernizing beverage enterprise data operations into a scalable, monitored, analytics-ready cloud ecosystem using Azure Databricks, PySpark, Apache NiFi, Airflow, Incorta dashboards, Splunk logging, and Datadog observability.

Beverage Data Integration & Monitoring Platform

Azure Databricks + PySpark + Incorta + Datadog + Splunk + NiFi + Airflow Case Study

Revuteck designed and implemented a modern beverage data integration and monitoring platform by modernizing fragmented enterprise ingestion and operational reporting workloads into a scalable Azure Databricks ecosystem.

The solution automated ingestion pipelines, improved enterprise monitoring visibility, centralized logs and operational metrics, enabled scalable PySpark transformations, strengthened production support operations, and established SRE-driven reliability practices across the platform.

The platform supported beverage enterprise operations, including supply chain analytics, production monitoring, sales reporting, inventory visibility, operational KPIs, distribution analytics, and executive dashboards.

Project Highlights

  • Apache NiFi ingestion framework

  • Azure Databricks PySpark processing layer

  • Airflow orchestration workflows

  • Datadog observability dashboards

  • Splunk centralized log management

  • Incorta enterprise reporting enablement

  • SLA monitoring and incident workflows

  • Production support automation

  • Modular cloud-native architecture

Deliverables
Data Platform Modernization Beverage Data Integration Azure Databricks Development PySpark Transformation Engineering Apache NiFi Pipeline Development Airflow Workflow Automation Enterprise Monitoring Implementation Datadog Observability Setup
Industry
Beverage
Project Info
1.8 / 20 members
Technologies test
Azure Databricks PySpark Apache NiFi Apache Airflow Incorta Datadog

Let’s Build Something Great Together!

Research
Project Research

An inside look at how we identified the core problems, structured our approach, and delivered a scalable solution.

Project Research
Project Research
Project Research
Project Research

Business Challenges

The existing beverage enterprise platform struggled with fragmented ingestion systems, delayed operational reporting, inconsistent transformation workflows, limited monitoring visibility, and high dependence on manual support across production analytics and supply chain reporting environments.

Focus Areas:
-Beverage data modernization
-Centralized ingestion workflows
-Monitoring and observability
-Pipeline automation
-Production reliability
-Enterprise analytics enablement
-Incident response optimization

Project Scope

The project included enterprise ingestion modernization using Apache NiFi, scalable PySpark transformation processing through Azure Databricks, orchestration with Airflow, centralized logging with Splunk, observability using Datadog, Incorta analytics enablement, production support workflows, and SRE-driven operational reliability implementation.

Deliverables :
-Cloud-native beverage analytics architecture
-Automated ingestion pipelines
-Databricks transformation framework
-Enterprise observability dashboards
-Centralized log management
-Production support workflows
-Incident management processes
-Business-ready analytics datasets

Development Approach

The engineering phase focused on scalable PySpark processing, reusable ingestion frameworks, orchestration standardization, centralized monitoring, operational observability, and SLA-driven support management.

Key Research Areas :
-NiFi ingestion optimization
-Databricks transformation scalability
-Airflow orchestration strategy
-Incorta dashboard enablement
-Datadog monitoring standards
-Splunk log aggregation architecture
-Production support workflows
-SRE operational governance

Solution Provided

A layered enterprise architecture was designed to separate ingestion, orchestration, transformation, analytics, monitoring, observability, and production support operations for better scalability, governance, reliability, and maintainability.

Architecture Goals:
-Reliable beverage data ingestion
-Scalable PySpark processing
-Centralized observability
-Faster incident detection
-Secure operational governance
-Automated workflow orchestration
-Production-ready monitoring
-Analytics-ready reporting datasets

Process
Process Flow

We build scalable mobile and web applications tailored to industry-specific workflows, user expectations, compliance requirements, and long-term business growth.

Discovery & Assessment

Architecture Design

Ingestion Pipeline

Databricks Transformation

Workflow Orchestration

Analytics & Reporting

Monitoring & Observability

Support & SRE

Discovery & Assessment

Analyzed the existing beverage enterprise ecosystem, reviewed ingestion and reporting workflows, identified operational source systems, documented monitoring gaps, and gathered modernization requirements for enterprise cloud transformation planning.

Key Activities :
-Source system analysis
-Workflow assessment
-Reporting dependency mapping
-Monitoring gap analysis
-SLA review
-Migration roadmap planning
-Risk and impact assessment

Architecture Design

Designed a scalable Azure Databricks-based architecture with dedicated ingestion, orchestration, transformation, analytics, monitoring, logging, and production support layers.

Key Activities :
-Azure architecture planning
-Databricks processing design
-NiFi ingestion framework design
-Airflow orchestration planning
-Monitoring architecture setup
-Logging and observability planning
-Operational governance strategy

Ingestion Pipeline

Developed Apache NiFi ingestion pipelines to automate enterprise beverage data movement, routing, scheduling, validation, retry handling, and operational traceability.

Key Activities :
-NiFi workflow development
-Dynamic ingestion routing
-Automated scheduling
-Failure handling setup
-Retry mechanism implementation
-Audit logging integration
-Metadata-driven processing

Databricks Transformation

Implemented Azure Databricks PySpark workflows for cleansing, transformation, enrichment, validation, aggregation, and scalable beverage operational data processing.

Key Activities :
-PySpark notebook development
-Data cleansing implementation
-Validation logic creation
-Business rule processing
-Aggregation workflows
-Enrichment processing
-Audit metric generation

Workflow Orchestration

Configured Apache Airflow DAGs for orchestration, dependency handling, workflow scheduling, pipeline monitoring, and enterprise operational coordination.

Key Activities :
-DAG development
-Dependency orchestration
-Scheduling workflows
-Failure notification setup
-Retry orchestration
-Operational coordination
-Workflow monitoring

Analytics & Reporting

Integrated Incorta dashboards with curated beverage datasets to deliver operational reporting, production analytics, inventory visibility, KPI dashboards, and executive insights.

Key Activities :
-Incorta dashboard development
-KPI analytics reporting
-Executive dashboard enablement
-Curated dataset integration
-Reporting optimization
-Business metric modeling
-Analytics validation

Monitoring & Observability

Implemented centralized monitoring and observability using Datadog and Splunk for pipeline tracking, operational visibility, alerting, logging, and proactive issue detection.

Key Activities :
-Datadog dashboard setup
-Splunk log integration
-Pipeline observability
-Alert configuration
-SLA monitoring
-Failure detection workflows
-Monitoring optimization

Support & SRE

Implemented enterprise production support workflows, incident management processes, RCA documentation, operational governance, and SRE-driven reliability practices.

Key Activities :
-Incident management workflows
-RCA documentation
-SLA compliance tracking
-Operational support setup
-Issue escalation workflows
-Reprocessing support
-Reliability management

Features
Key Features

We build scalable mobile and web applications tailored to industry-specific workflows, user expectations, compliance requirements, and long-term business growth.

(01)

Enterprise Beverage Dashboard

Centralized Incorta dashboards are designed to provide visibility into production metrics, supply chain analytics, operational KPIs, pipeline health, and reporting performance.

Key Points :
-Real-time operational visibility
-Production KPI monitoring
-Pipeline execution insights
-Executive reporting dashboards
-Supply chain analytics
-Business-ready reporting

🏗
(02)

Automated Data Ingestion

Apache NiFi workflows automate beverage data ingestion, routing, retry handling, validation, scheduling, and metadata-driven enterprise processing.

Key Points :
-Automated ingestion workflows
-Dynamic routing
-Retry and failure handling
-Metadata-driven execution
–Validation integration
Audit logging support

🔐
(03)

Scalable PySpark Processing

Azure Databricks with PySpark enables scalable enterprise beverage data transformation, enrichment, cleansing, aggregation, and validation processing.

Key Points :
-PySpark-based processing
-Large-scale transformations
-Data cleansing workflows
-Aggregation processing
-Validation logic
-Scalable execution architecture

👥
(04)

Monitoring & Observability

Datadog and Splunk provide centralized enterprise observability for logs, alerts, monitoring metrics, SLA tracking, and operational analytics.

Key Points :
-Datadog integration
-Splunk log centralization
-Pipeline observability
-SLA monitoring
-Alert management
Operational analytics

💰
(05)

Workflow Automation

Apache Airflow automates orchestration workflows, dependency management, scheduling, retries, notifications, and operational coordination.

Key Points :
-DAG orchestration
-Workflow scheduling
-Dependency management
-Failure notifications
-Retry workflows
-Operational automation

📋
(06)

Production Support & SRE

Production-ready SRE operations improve reliability, reduce downtime, accelerate issue resolution, and strengthen operational governance.

Key Points :
-Incident response workflows
-RCA documentation
-SLA tracking
-Production monitoring
-Reliability operations
-Operational governance

📊
Home
Results
Project Results

We build scalable mobile and web applications tailored to industry-specific workflows, user expectations, compliance requirements, and long-term business growth.

0 %
Improved monitoring and operational visibility
0 %
Reduction in manual support effort
Beverage Data Integration & Monitoring Platform
Beverage Data Integration & Monitoring Platform
0 X
Faster, scalable data transformation processing
0 %
Improved reporting reliability and data readiness
B
Beverage Data Integration & Monitoring Platform
Admin

Client Review

“Revuteck successfully modernized our beverage enterprise data operations into a scalable and highly monitored Azure Databricks ecosystem. The platform improved operational visibility, ingestion reliability, monitoring efficiency, and long-term analytics scalability.”

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E-mail address
sales@revuteck.com
Phone number
+91-7032094811
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