Write a Review Insights Blogs

ru3ch interactive

Big data. Data Engineering. Technology Consulting.

Visit website
Write a Review
Verified Profile
Visit website

We are an innovative and agile provider of digital, cloud and advisory services leveraging knowledge gained over 15 years working for big international corporations.

We specialize in architecture and implementation of data lakehouses and ETL / ELT pipelines in Microsoft Azure and Databricks. We can help you with moving your application or data to cloud. Understand and improve your business performance with better reporting, data science and machine learning.

We are also passionate about latest trends in web development. We excel in next-gen single page application frameworks, NodeJS ecosystem, ES6 / ES.next development, responsive pixel perfect design and accessibility.

We are approved recruitment agency partner to Accenture, providing our services for over 7 years. Our experts are certified Microsoft, Databricks and Scrum professionals. Continuing education is our priority, that is why our engineers regularly take part in new technical and soft skills courses, and certification programs. We are building long term relationship with our clients, deliver exceptional service and respect individual and company culture. We attract the best talents, promote honesty and responsibility for our actions. We worked on projects for following clients: HSBC, KPN, Mercedes-Benz Mobility, Accenture, Avanade, JTI, Norma Group, Oterra, Best Buy, Shell, BASF and Schiphol.

Services:

• Cloud Adoption / Data Engineering
We specialize in big data solutions, building ETL / ELT pipelines, data analysis, implementing machine learning lifecycle, PowerBI reports and dashboards.

• Custom Software Development
We provide a full range of development services in cutting edge technologies to meet your unique demands and fulfill your business needs.

• Technology Consulting
We provide consulting services in big data, data engineering, data science, machine learning, solution architecture, web development, and accessibility.

• Trainings
We offer custom trainings tailored just for you to help you get started with or advance in modern technologies and up-skill your team to be more productive.

• Agile Developers / Teams
We can provide whole agile team of professionals to deliver a project for you or you can use our body shopping services to augment your existing team.

• In-house Apps
We are turning our ideas into our own software products and managing the whole development life cycle.

NA
2 - 9
2015
Locations
Slovakia
., Pezinok, Bratislavsky 90203
+421902104770

Focus Areas

Service Focus

60%
20%
20%
  • Big Data & BI
  • IT Services
  • Artificial Intelligence

Client Focus

50%
50%
  • Large Business
  • Medium Business

Industry Focus

15%
15%
15%
15%
15%
15%
10%
  • Automotive
  • Information Technology
  • Telecommunication

ru3ch interactive Clients & Portfolios

Key Clients

  • Accenture
  • Avanade
  • Mercedes-Benz Mobility
  • Schiphol
  • HSBC
  • KPN
  • Shell
  • Best Buy

Lakehouse Framework - Internal Accenture Asset
View Portfolio
Lakehouse Framework - Internal Accenture Asset
  • Lakehouse Framework - Internal Accenture Asset screenshot 1
Not Disclosed
20 weeks
Information Technology

Lakehouse Framework is a generic reusable ELT pipeline build in Azure. Data from the source system are ingested by Azure Synapse Pipelines, stored in Azure Data Lake Storage, modeled and served in Azure Synapse by Spark Notebooks and consumed by Power BI.

It leverages multi-hop architecture and Delta tables for better performance and management of the data. The solution was built in a way that all project specific aspect were extracted into constants and configurable objects which makes it easily reusable on different projects. All the code is covered by unit tests.

Our company augmented the client's team by providing one resource (Michal Rutrich) who served as a solution architect, lead data and platform engineer.

Web App
Metadata-driven Data Management Framework for Mercedes-Benz Mobility
View Portfolio
Metadata-driven Data Management Framework for Mercedes-Benz Mobility
  • Metadata-driven Data Management Framework for Mercedes-Benz Mobility screenshot 1
Not Disclosed
100 weeks
Automotive

Mission of the project is to build one inclusive BI platform to generate intelligent insights that are accessible and efficient to all (FQ & markets) based on standardized data and a common, flexible architecture across Mercedes-Benz Mobility.

Implementation of a Metadata-Driven Data Management Framework. Data from the source systems are ingested by Azure Data Factory Pipelines, stored in Azure Data Lake and transformed in Databricks Notebooks using a medallion (multi-hop) architecture.

The framework is built in a generic and flexible way so it can be reused for all use cases - 45 markets and FQ. It's open for market specific non-standard requirements not forcing other markets to adjust their solution / implementation. The framework is configured by metadata that specifies how many layers the ETL process will have, which data will be ingested, how the data will be transformed, which data will be exported etc. Based on these metadata it automatizes creation of ingestion, transformation and export instructions to speed up market onboarding. The framework also supports data validation and can stop ETL process, trigger a workflow and wait for an approval to continue.

Our company augmented the client's team by providing one resource (Michal Rutrich) who served as a technical architect and a lead data engineer.

Web App

ru3ch interactive Reviews

No Review
No reviews submitted yet.
Be the first one to review