Transform Your Organizational Knowledge
Into Actionable Insights With Our
Data-Engineering-As-A-Service

Data Engineering

Overview

Retail industry generates 15 petabytes of data on a daily basis. The data consists of customer, transactional, store inventory and sensor, warehouse, and supply chain dynamic data including data from various devices and check point base stations. The challenge is no longer just the complexity of data but also the “order of magnitude” of data, data type, and data from disparate systems created over generations. Intelliswift offers a Data Engineering-As-A-Service solution to assess the maturity of the current state and assists in building the appropriate Data Engineering Platform for our customers.

Our Offerings

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End-to-end Data
Pipelines

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Data
Transformations

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Data
Integrity

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Data
Models

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Data
Analytics

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Data
Ingestion

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Data
Cleansing

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ETL/ELT
Jobs

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Data
Tuning

Data Acquisition & Ingestion Framework

Our AI/ML/NLU engine applies artificial intelligence and machine learning to analyze relevant named entity recognition patterns and extract fields of interest from template/format agnostic and multiple sources of dark data

Ingestion Framework

Data Lake Management Framework

Our Data Lake Framework helps you build, assess, and leverage data lake environments with outmost efficiency & enhanced data capabilitites, keeping the data trusted and secure all along.

Management Framework
Management Framework
Management Framework

Key Capabilities

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Data Lake Foundations

  • Data Ingestion
  • Metadata and lifecycle pilots
  • Security models
  • Trusted data treatments and publishing
  • Secure export and transport to external platforms for analytics, etc.

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Data Lake Architectures

  • Organizational & Governance models
  • Metadata and data management
  • Security, authentication and auditing
  • Smart suggestions for data access and provisioning
  • Cluster configuration and performance optimization

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Data Lake Analytics

  • Modeling, materialization and preparation for BI tools
  • Event-based analytics
  • Discovery and exploratory analytics

Technology Stack

Management Framework