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DEPARTMENT OF INFORMATICS
OF THE TECHNICAL UNIVERSITY OF MUNICHBachelors Thesis in Information SystemsDesign of Big Data Reference Architectures for Use
Cases in the Insurance Sector
Vladimir ElvovDEPARTMENT
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How to fill out design of big data
How to fill out design of big data
01
Define the objectives and requirements of the big data design.
02
Identify and understand the data sources that will be used in the design.
03
Determine the data storage and processing technologies that will be used.
04
Create a data model and schema to organize and structure the data.
05
Implement data integration processes to gather and combine data from different sources.
06
Apply data cleansing and preprocessing techniques to ensure data quality.
07
Design and implement data analytics and visualization components for analyzing and presenting the data.
08
Optimize the design for scalability and performance.
09
Continuously monitor and refine the design to adapt to changing data and business needs.
10
Document and communicate the design to relevant stakeholders.
Who needs design of big data?
01
Enterprises and organizations that deal with large volumes of data and require insights for decision-making.
02
Data scientists and analysts who need to perform advanced analytics and derive meaningful insights from big data.
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Researchers and academics who study large-scale data sets for various purposes.
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Government agencies and public institutions that collect and analyze data for policy-making and planning.
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E-commerce companies and online platforms that rely on data-driven strategies for targeted marketing and personalization.
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Healthcare and pharmaceutical companies that analyze patient data for research and drug development.
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Financial institutions that need to analyze market trends and risks based on large datasets.
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Transportation and logistics companies that use big data for route optimization and operational efficiency.
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Social media platforms and advertising agencies that leverage user data for targeted advertising and content recommendation.
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Any industry or domain that can benefit from data-driven insights and decision-making.
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What is design of big data?
Design of big data refers to the process of planning and structuring the data architecture to efficiently handle large volumes of data.
Who is required to file design of big data?
Companies or organizations that work with big data and need to ensure proper management and organization of the data.
How to fill out design of big data?
Design of big data can be filled out by data architects or data engineers who have expertise in handling and optimizing data structures for big data applications.
What is the purpose of design of big data?
The purpose of design of big data is to ensure that data is stored, processed, and accessed in an efficient and effective manner to support various business operations and analytics.
What information must be reported on design of big data?
Information such as data sources, data types, data storage mechanisms, data processing pipelines, and data security measures must be reported on design of big data.
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