Advanced Data Development Platform


Milovan Tomašević*

*Data & Software Engineer/Architect (PhD)

March, 2023 @ Ljubljana, Slovenia

Created by 23.03.2023. 23:23, press ESC for overview


  • Advanced Data Development Platform (ADDP) is an end-to-end data analysis platform that helps businesses extract value from their data.

ETL and ELT Patterns

  • ADDP supports extract, transform, and load (ETL) and extract, load, and transform (ELT) patterns*, allowing businesses to ingest their data, transform it, and extract value from it.

*Pattern 1 – ETL, Pattern 2 – ELT (Data Warehouse), Pattern 3 – ELTL (Data Warehouse + Data Lake), Pattern 4 – ELtLT (Data Warehouse + Data Lake), Pattern 5 – ELT (Data Lakehouse), …

Benefits for R&D Teams

  • ADDP helps R&D teams accelerate product development, increase productivity, and the success of scientific discoveries.
  • It is an integrated data stream without code that optimizes resources and increases productivity, simplifies visual verification of data, and automates data management.

Benefits for Businesses

  • ADDP helps businesses unify their entire end-to-end data journey with Artificial Intelligence and Machine Learning capabilities in an All-in-One Big Data platform.
  • It can solve complex integrations with a few clicks and connect the system or data source with agility and scalability to grow the business.
  • Businesses can create and deliver APIs in a fast, scalable, and secure way, connecting their business with digital solutions with the best experience.

Industry-Specific Applications

  • ADDP can be applied to specific needs in various industries.
  • For retail, ADDP offers smart sales for omnichannel strategies that increase sales and integrate the ecosystem.
  • For the financial industry, ADDP offers automated trading and credit management using alternative data, market data, and machine learning algorithms.
  • In the healthcare industry, ADDP helps automate medical and hospital receivables management through data, achieving greater transparency and efficiency in processes.

User-Specific Benefits

  • ADDP is designed for non-technical users, data engineers, and data scientists.
  • Non-technical users can use Pipelines, Jobs, and Visualize to extract value from the data using low code.
  • Data engineers can use visualization tools using SQL and the Sandbox to develop python applications.
  • Data scientists can use the data already made available by data engineers in their python algorithms through notebooks in the Sandbox feature.

Key features of ADDP

  • ADDP’s features include Pipelines, Jobs, Sandbox, and Visualize.
  • Pipelines execute data ingestion periodically, while Jobs execute a series of chosen steps when a selected trigger is activated.
  • The Sandbox is a web application that allows businesses to create and share documents that contain live code, equations, visualizations, and narrative text.
  • Visualize enables businesses to visualize their data, enabling all stakeholders to gain insights quickly and efficiently.

Conclusion and Call to Action

  • Overall, ADDP represents a valuable solution for businesses looking to extract value from their data.
  • It offers a range of benefits, including data quality, optimizing time and workload, automation, data integration, cataloging, and data retrieval, and team productivity.
  • By leveraging ADDP, businesses can stay ahead of the curve and achieve success in the marketplace.

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