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DestinE Data Lake characteristics and services Lothar Wolf, EUMETSATA possible journey using the data lakeDestinE Data Lake in a nutshellDEDL is selfstanding component Built from geographically distributed
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How to fill out destine data lake

01
Identify the source systems from which data will be collected.
02
Define the types of data to be ingested, including structured, semi-structured, and unstructured data.
03
Choose appropriate data ingestion tools or services for extracting data from source systems.
04
Set up data transformation processes to cleanse and structure the data as needed.
05
Configure data storage in the data lake, ensuring scalability and accessibility.
06
Implement data governance practices to manage data quality, security, and compliance.
07
Schedule regular data ingestion to keep the data lake refreshed with new information.
08
Establish querying and analytics tools for end-users to access and analyze the data.

Who needs destine data lake?

01
Data scientists and analysts who require access to large datasets for analysis and modeling.
02
Business stakeholders needing insights for decision-making based on integrated data.
03
IT teams responsible for data management and infrastructure support.
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Companies looking to leverage big data technologies for competitive advantage.
05
Organizations that need to comply with data regulations and require a centralized data repository.
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A destine data lake is a centralized repository that allows organizations to store vast amounts of structured and unstructured data at scale, enabling easy access and analysis.
Organizations that generate, manage, or store large volumes of data, especially for analytics purposes, may be required to file for a destine data lake.
To fill out a destine data lake, organizations should gather their data sources, define the data schema, and use data ingestion tools to upload data into the lake.
The purpose of a destine data lake is to provide a scalable storage solution for big data, facilitating data processing and analysis to drive insights and decision-making.
Information that must be reported may include data source information, data types, metadata descriptions, and compliance-related details associated with the data.
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