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Solution

Data Warehouse & ETL

We cleanse and validate data from different sources with ETL/ELT and collect it in a central data warehouse; with İnteley, analyses use one source of truth.

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Problems

Are these problems familiar?

  • Scattered Data Sources and Silos

    We eliminate data silos by consolidating disconnected data in ERP, CRM, Excel and SaaS systems under a single data warehouse.

  • Slow and Failed Data Transfers

    We speed up delayed or locked-up data loading processes with incremental loading and parallel processing techniques.

  • Dirty and Unreliable Data

    We keep faulty data out of your reports with automatic validation and cleansing rules that we build at the entry point of the ETL pipelines.

Turn Your Raw Data into a Reliable and Scalable Data Warehouse

We cleanse and validate the data that flows in from your different sources with ETL/ELT processes and collect it in a central data warehouse architecture. We provide a high-performance, single-source-of-truth data infrastructure for your analyses.

Our Data Integration Steps

  1. Source Analysis & Profiling

    Identifying existing data sources, data types and update frequencies.

  2. Data Warehouse & Modeling

    Designing the data warehouse layers (Staging, Data Warehouse, Data Mart).

  3. ETL/ELT Development

    Automating the extraction, transformation and loading steps.

  4. Monitoring & Testing

    Performing data reconciliation tests and setting up alarm mechanisms for 24/7 tracking of data flows.

Our Data Warehouse & ETL Solutions

  • Enterprise Data Warehouse Design (EDW)

    Scalable, high-query-performance, Star Schema based dimensional data warehouse architecture.

  • ETL & ELT Pipelines (Data Pipelines)

    Flexible, secure and automated data transfer processes with technologies such as SSIS, Azure Data Factory, Talend or Python.

  • Data Lake & Data Warehouse Hybrid Architecture (Lakehouse)

    Modern Lakehouse setups where raw data and structured analytical data are managed together.

  • Data Quality and Master Data Management (MDM)

    Master data management systems that establish consistent customer, product and financial definitions across the company.

From the field

Our projects in this area include the PepsiCo data warehouse re-engineering, the İstanbul Bilgi University data warehouse and the Faydasıçok Holding data pool.

Technologies we use

Integration and APIs

  • SSIS
  • Azure Data Factory
  • Talend

Languages and code

  • Python

Data

  • Lakehouse
  • Master Data Management (MDM)
  • 10+ Years
  • 100+ Projects
  • 50+ Clients
  • 10+ Industries
  • 50+ Trainings

Let's plan your project together

Let's hear your needs and define the right first step together. No commitment required.

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