Data & Analytics | Consulting

Databricks consulting

We accompany you from the strategy to the productive data platform - with in-depth Databricks know-how and a clear view of the business benefits.

Arrange a free initial consultation
Databricks_Logo
ALDI SOUTH: Customer of prodot Thyssenkrupp Elevator: Customer of prodot Rossmann: Customer of prodot Siemens Energy: Customer of prodot Bayer04 Leverkusen: Customer of prodot Borussia Mönchengladbach: Customer of prodot 3M: Customer of prodot thyssenkrupp: Customer of prodot Caparol: Customer of prodot HAVI: Customer of prodot

Turning data into real added value with our Databricks consulting services

Most companies don't have a data problem. They have a utilization problem. Data is available - in SAP, in the data warehouse, in the cloud, in on-premises databases. But the path from raw data to usable insights is long, error-prone and ties up resources that are needed elsewhere. AI projects fail due to an inadequate database. Machine learning models remain stuck at the pilot stage because the infrastructure does not scale. And data engineering teams get lost in maintaining fragile pipelines instead of developing new use cases.

Databricks addresses precisely these problems. The Unified Data Intelligence Platform combines data engineering, data science, machine learning and analytics on a single, collaborative platform - based on Apache Spark and Delta Lake as an open, high-performance data store. Data silos are broken down, AI development and data processing run on the same platform, and governance and security are controlled centrally via Unity Catalog.

At prodot, we know our way around Databricks: from the architecture decision to the development of robust Delta Lake architectures and scalable data pipelines to the integration of machine learning workflows and the rollout in the company. We ensure that your data is not only available, but actually generates added value - for analytics, AI and data-driven business processes alike.

user-experience-gallery3

This is what our Databricks consulting offers:

Holistic consulting, deep integration, secure implementation.

We take a holistic view of the architecture before we implementit

Every Databricks implementation starts with the right foundation. We analyze your existing data landscape, define a viable lakehouse architecture based on Delta Lake and decide together with you which workloads are suitable for Databricks and which are not.

Deeply integrated into your cloud infrastructure

Databricks only unfolds its full value in combination with the right cloud environment. Whether Microsoft Azure, AWS or Google Cloud: we have the experience to embed Databricks neatly into your existing infrastructure - including integration with Azure Data Factory, Azure Synapse, Power BI and existing ERP and SAP systems.

From proof of concept to enterprise rollout

Whether it's the first use case or a company-wide rollout: we support both scenarios with tried-and-tested frameworks, clear milestones and a team that has already implemented Databricks projects in challenging environments.

Added value of our Databricks consulting

No more data silos: an open foundation for all teams

  • Delta Lake as a standardized, open data store replaces proprietary data architectures and avoids vendor lock-in

  • Data engineers, data scientists and analysts work on the same platform without copying data back and forth between tools

  • Unity Catalog enables unified governance, access control and data cataloging across all workloads

Faster from the data question to the AI application

  • Scalable Spark clusters also process large amounts of data in a short time and enable iterative data exploration without waiting times

  • MLflow as integrated experiment tracking makes machine learning development traceable, reproducible and production-ready

  • Databricks SQL enables high-performance SQL analyses directly on the lakehouse without moving data to a separate data warehouse

Investment protection through open standards and flexible integration

  • Delta Lake, Apache Spark and MLflow are open source technologies - no proprietary formats, no uncontrolled dependencies

  • Existing data sources, BI tools and cloud services can be connected via native connectors and open APIs

  • Databricks runs on all three major cloud platforms - the architecture remains flexible, even if the cloud strategy changes

Scope of services around our Databricks consulting

With Databricks, you are opting for a data platform that requires strategy, architecture and technical depth. We master all three levels.
window-frame-light-full
Databricks Readiness Assessment & Strategy

We analyze your current data architecture, existing analytics and AI initiatives as well as your cloud infrastructure and develop a clear roadmap: Which workloads are moving to Databricks? What stays? Where is the greatest potential for fast results?

building-shield-light-full
Delta Lake Architecture & Lakehouse Design

We design the right data storage strategy based on Delta Lake - whether medallion architecture (bronze/silver/gold), streaming-capable lakehouse or hybrid model. All tailored to your data volumes, latency requirements and usage scenarios.

business-time-light-full
Data engineering & pipeline development

Building robust, scalable data pipelines with Databricks Workflows, Apache Spark and Delta Live Tables for reliable ETL/ELT processes - source data is clean, transformed and consistently provided, automated and monitored in the lakehouse.

laptop-code-light
Machine Learning & AI development

Development and operationalization of machine learning models based on MLflow, Databricks AutoML and Feature Store - from explorative data analysis and model training to productive deployment in existing business processes and applications.

shield-check-light
Governance, Security & Unity Catalog

Setting up Unity Catalog for central data catalog, fine-grained access control, data lineage and compliance - so that all users know what data is available, who can access it and where it comes from.

road-light-full
Integration & rollout

Seamless integration into your existing infrastructure: Azure, AWS, SAP, Power BI, Synapse and other systems are cleanly connected. Structured introduction including training and enablement for your data teams ensures that Databricks is used productively from day one.

Contact us now
daniel_ludewig_circle

Your contact person

Daniel Ludewig
0203 3965080
Book an appointment directly online
 

Questions & Answers

prodot

Who we are

Digital Passion. Driving innovation. We inspire people with the right solutions for their business. As a pioneer and trailblazer into the digital future, we are committed to making our customers even more successful.

Passionate, interdisciplinary and agile. These are our ingredients for successful collaboration with our clients' teams. Together, we integrate innovations into the existing IT infrastructure. With a short time-to-market, seamlessly and efficiently, we help our customers to achieve their business goals in a more digital, secure and smarter way.

Inner harbor