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We deliver Solutions for Data Lakehouse Architectures and offer
Expertise in Data Engineering, Analytics and Enterprise Resource Planning.
Data Engineering: Data engineering, also known as information technology engineering, is a software engineering approach to designing and developing information systems. A data engineer is someone who creates big data ETL pipelines, and makes it possible to take huge amounts of data and translate it into insights. They are focused on the production readiness of data and things like formats, resilience, scaling, and security. The phases of information engineering are: Strategic business planning, Data modelling, Process modelling, Systems design and implementation
Data Analytics: Data Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.
Data science: Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. Data science is a concept to unify statistics, data analysis, informatics, and their related methods in order to understand and analyse actual phenomena with data.
Company Details
- Employees
- 4
- Founded
- -
- Address
- Mergenthalerallee 73-75, Eschborn,65760,germany
- Industry
- It Services And It Consulting
- Website
- https://data-business.de
- Keywords
- Data Engineering, Data Warehousing, Data Lakes, Ingestion, Orchestration, Visualization, SAP Analytics Cloud, SAP Datasphere, SAP BW/4HANA, Data Science, NLP, ML, AutoML, GenAI, Spatial, SAP S/4HANA, SAP BPC/4HANA, SAP BCS/4HANA, Databricks, Snowflake, SAP Business Data Cloud.
- HQ
- Eschborn
Data Business Gmbh Questions
Data Business GmbH's website is https://data-business.de
Data Business GmbH's LinkedIn profile is https://de.linkedin.com/company/data-business-gmbh
Data Business GmbH has
4 employees.
View email and phone details for 4
employees at Data Business GmbH.
Data Business GmbH's industry is
IT Services and IT Consulting
Data Business GmbH's top competitors are
Telepaxx Medical Data Gmbh,
Aquaproducts,
Women In Data Science Munich,
Teknotio,
Welmnt,
Data As Services,
Tera-Tech Ltd,
Virgobit,
Beratungscontor,
Women In Big Data Munich.
Data Business GmbH's categories are IT Services and IT Consulting
Data Business GmbH's founding year is 2016
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