#FAQPool #EP7
What can data lake and data warehouse work together?
Organizations use data warehouse and data lake to store, manage and analyze data. Data lake will not replace data warehouse, rather the two options are complements to one another.
If the business stakeholders need certain pieces of information or analyze specific data, the data warehouse is sufficient. As enterprises begin to collect more types of data, and want to explore more possibilities from it, the data lake becomes a crucial addition.
If the data lake and data warehouse are combined to accommodate and analyze the data, it will become a powerful tool and change the way companies derive value from the data.
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#FAQPool #EP6
Last two weeks, we’ve introduced about data lake and data warehouse.
So, what is the difference between data lake and data warehouse?
Data lake and data warehouse are both widely used for storing big data. Data lake is used to store big data of all structures and its purpose has not been defined yet. Data warehouse is used to analyze archived structured data, filtered data that has been processed for a specific purpose.
Data warehouse has been an integral part of the companies in the IT field, and now the data lake is causing ripples and changing the data management domain to a large extent. In this post, we will introduce the differences between a data lake and a data warehouse.
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#FAQPool #EP5
What is a data warehouse?
The data warehouse only stores structured data from one or more disparate sources, which will be processed later for business users to provide meaningful business insights into corporate performance. The data warehouse is the core of the BI system which is built for data analysis and reporting. By the way, if all the processed data is stored in data warehouse, the cost will be high.
Next time, we’ll compare the difference between data lake and data warehouse. See you!
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