Data Engineering & Analytics

Data Engineering and Analytics

Transform data into security and operational insights and quickly visualize threats, trends, anomalies and outliers. Angelify`s data team helps customers build an end-to-end data platform. Our main objective is to address customer`s challenges on having no single source of problems in retrieval of historical data, slow turn-around time in provisioning new analytics reports and limited access to data sources.

Data Migration

  • Discovery & Planning,
  • Data Cleaning and Preparation,
  • End-to-End Pipeline-Driven Migration

Locate and centralize your data to make it actionable. Solve data problems such as disparate data sources, unreliable and error-prone batched data pipelines, and lack of knowledge about what data you have and what you stand to lose. Remove the barriers blocking you from making data-driven decisions. Ready to move your existing on-premises data sources to the cloud, contact us at Angelify

Data Engineering

  • Ingestion, Data Lakes,
  • Warehousing,
  • Data Source Identification,
  • Data Pipeline Design and
  • Deployment

Empower teams to leverage all of your data to enhance products, solutions, and decisions. Eliminate reliance on centralized data teams and allow your entire organization to make data-driven decisions through automated workflows.

Data Science & Machine Learning

  • Machine learning
  • Dashboards & Visualization
  • Data Analytics
  • Real-time Monitoring & Alerts

We provide our customers with a clear path from data ingestion, through data pipelines, to actionable insights. We understand every organization’s data needs are different, whether it’s real-time monitoring and alerting, data lakes, visualization, data warehousing, analytics, or machine learning.

Data Operations

  • Managed Data Services,
  • Meeting Production Requirements
  • Cloud Cost Optimization

Angelify’s proven accelerators and AWS native tools fast track the automation of your data pipelines. Our experts leverages our wide range of expertise across data migration, data engineering, data science, machine learning, and operations to help turn your data into a tool for innovation.