Databricks Consultancy & integration 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.

As a Databricks partner, we offer comprehensive services to utilise the full potential of your data - including:

• Data Integration: As part of our data integration service, we bundle data from various sources on the Databricks platform into a centralised database.

• Data Architecture: Our team designs and implements efficient and scalable data architectures.

• Data Pipelines: We optimise your data pipelines and use the powerful data engineering environment to improve data quality and ensure compliance with data governance guidelines.

• Analytics & Machine Learning: We offer analytics and machine learning solutions that provide deep insights and visualise your data.

• ML Modelling: By leveraging Databricks' integrated MLflow platform, we support the development, deployment and monitoring of machine learning models.

• Data Compliance: The integrated security and compliance management services ensure that your data remains legally compliant in the Databricks environment.

• Performance optimisation: With performance optimisation, we maximise query and processing speed so that your data analyses are carried out efficiently and quickly.

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.

One speciality is the variety of data storage solutions.

A data lake is a centralised storage location that can store large amounts of raw data in its original format. This data can be structured, semi-structured or unstructured. Data lakes are particularly useful because they collect data from different sources in one place without the need for prior processing or structuring.

A data lakehouse combines the best features of a data lake and a classic data warehouse. It offers the flexibility and scalability of a data lake and at the same time the data management and optimisation functions of a data warehouse. A data lakehouse makes it possible to store and analyse both raw and processed data in a single platform.

Databricks is a leader in the implementation of the data warehouse concept. With Delta Lake, the platform offers a technology that extends the benefits of a data lakehouse. Delta Lake improves data quality and consistency by supporting ACID (Atomicity, Consistency, Isolation, Durability) transactions, enabling data versioning and providing a platform to prepare data under the Bronze, Silver and Gold Stages concept. These functions ensure that data is stored and processed reliably and accurately.

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.

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.