Built for Speed and Scale. Any Use Case. Any Tool. Any Cloud.
Databricks' powerful data engineering and analytics capabilities, combined with our expertise, enable organisations to efficiently store, process and analyse large data sets. Databricks offers a scalable infrastructure that allows companies to flexibly adapt computing resources to optimise performance and costs.
As a Databricks partner, our team regularly utilises Databricks' Unified Analytics Platform, which enables easy integration of data and development of machine learning models on a unified platform. Databricks offers native support for various programming languages, including Python, R, Scala and SQL, as well as seamless integration with Apache Spark for powerful data processing.
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We are Databrick's partner
As a Databricks partner in Austria, Germany and Switzerland, we are proud to support our customers with a team of 120 experts in the field of digital transformation and specialisation in customer experience. Thanks to our partnership with Databricks, we can offer state-of-the-art technologies for data management, machine learning and analytics aimed at optimising business processes and improving the customer experience.
With Databricks, we offer our customers support with a powerful platform that covers the entire data pipeline: from data storage, integration and preparation to analysis and the use of machine learning. The comprehensive solution enables companies to make data-driven decisions faster and more efficiently.
Our speciality: Data solutions with Databricks
We utilise the powerful functions of Databricks and our data expertise to create long-term added value for our customers:
Scalable pipelines: Efficient storage and processing of large amounts of data.
Scalable data solutions: Design and management of customised data architectures.
Analyses and machine learning: Development and monitoring of ML models with MLflow.
Actionable insights: Real-time analyses and data visualisations for informed decisions.
Centralisation of customer data: Standardisation of data from different sources.
Real-time data processing: Immediate response to customer behaviour.
Security and compliance management: Secure and legally compliant data management.
Databricks enables you to utilise the full potential of your data and optimise your business processes through data-driven insights.
Über Databricks
Mit Databricks wird die Verwaltung großer Datenmengen zum Kinderspiel. Die Echtzeitvisualisierungen und Analysewerkzeuge machen Ihre Daten lebendig und ermöglichen es Ihnen, schnell auf Kundenverhalten zu reagieren. Durch die nahtlose Integration in bestehende Systeme wie Salesforce und die Unterstützung von Programmiersprachen wie Python, R, Scala und SQL bietet Databricks maximale Flexibilität in allen Bereichen. Egal, ob Sie Daten aufbereiten, verarbeiten, analysieren oder Machine-Learning-Modelle entwickeln – Databricks vereint alles auf einer Plattform.
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Data Lakes
Ein Data Lake ist ein zentraler Speicherort, der große Mengen an Rohdaten in ihrem ursprünglichen Format speichern kann. Diese Daten können strukturiert, semistrukturiert oder unstrukturiert sein. Data Lakes sind besonders nützlich, weil sie Daten aus verschiedenen Quellen an einem Ort sammeln, ohne dass eine vorherige Verarbeitung oder Strukturierung erforderlich ist.
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Data Lakehouse
Ein Data Lakehouse kombiniert die besten Eigenschaften zweier Welten: Es bietet die Flexibilität und Skalierbarkeit eines Data Lakes und gleichzeitig die Datenmanagement- und Optimierungsfunktionen eines Data Warehouses. Ein Data Lakehouse ermöglicht es, sowohl Rohdaten als auch verarbeitete Daten in einer einzigen Plattform zu speichern und zu analysieren.
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Delta Lake
Databricks ist führend in der Umsetzung des Data Lakehouse-Konzepts und erweitert dessen Vorteile mit Delta Lake. Die Technologie verbessert die Datenqualität und -konsistenz, indem es ACID-Transaktionen unterstützt, Datenversionierung ermöglicht und eine Plattform bereitstellt, um Daten im Rahmen des Bronze-, Silber- und Gold-Stages-Konzepts aufzubereiten.
Azure & Databricks
The perfect symbiosis for data processing and analysis:
Together, Azure and Databricks offer a powerful solution for processing, analysing and managing large volumes of data. The integration combines the comprehensive cloud services of Azure with the advanced data analysis and machine learning functionality of Databricks.
Interaction between Azure and Databricks:
Seamless integration: Azure Databricks is a fully integrated service on the Azure platform that leverages the Apache Spark engine.
Scalability: Azure provides a flexible and scalable infrastructure that adapts dynamically.
Big Data Analytics: Databricks on Azure enables real-time processing of large amounts of data and the development of complex analyses and machine learning models.
Cost efficiency: The combination optimises the costs of data processing and analysis by using resources as required.
Databricks & Power BI
The perfect match:
Databricks and Power BI work seamlessly together to provide companies with a powerful combination of efficient data processing and intuitive data visualisation. This integration makes it possible to get the best out of both platforms and thus make data-driven decisions faster and more accurately.
Special features:
Seamless integration: Efficient data processing and intuitive data visualisation.
Data processing: Databricks enables the creation of extensive data sets directly in a user-friendly interface.
Data pipeline: Robust platform for data collection, preparation, analysis and modelling.
Data visualisation: Power BI offers drag-and-drop functions and interactive dashboards.
Dynamic analysis: Combination of Databricks and Power BI creates a responsive data analysis environment.
Let's take off together in Databricks