Data Engineering

Data Integration is the Key

KAI specializes in data integration, creating efficient, scalable data pipelines, and providing consultancy in data engineering. Their services focus on making data ready for analysis, advising on ETL/ELT processes, and performance optimization. Kamrun Analytics also enhances efficiency and problem-solving in data-related operations.

The Towers of Data Engineering


Data Collection

KAI data collection consists of various methods to gather structured, semi-structured, and unstructured data. We collect data using remote connectivity (sftp, api) that connect a variety of sources – internal and external. Our KAI team used the method largely depending on the source and nature of the data in question.


Data Ingestion

KAI team transforms raw data into actionable insights through our robust Data Ingestion services. We specialize in creating custom ingestion data pipelines that are scalable, reliable, and secure. At KAI, we don’t ingest data – we breathe life into data, paving the way for enhanced productivity, innovative solutions, and a formidable competitive edge. 

 


Data Preparation

Data Preparation is a critical phase in the data engineering process, and at KAI, it’s where data truly begins to take shape. We standardize data formats, address inconsistencies, remove duplicates, and correct errors. With KAI’s Data Preparation services, your business will benefit from a streamlined data pipeline that accelerates the journey from raw data to strategic insights.


Data Migration

  • Understand the legacy data
  • Data Cleansing
  • Choose the right tools
  • Data Mapping
  • Setup Test Environment
  • Backup Data
  • Monitor and validate
  • User Acceptance Testing
  • Audit and Compliance
  • Decommissioning


Data Quality & User Acceptance Testing


  • Accuracy
  • Completeness
  • Validity
  • Timeliness
  • Uniqueness

Data Tools Used:

AI Platform

Cloud Platform

Streaming

Databases

Languages

Schedule & Monitoring

: Open AI, ChatGPT, Dall-E, Api

: AWS, Google Cloud

: Spark, Kafka

: RDBMS, NO SQL, Distributed

:  SQL, Python, Linux, Shell Scripts

:  Airflow


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