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Data lakes can only have structured data

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Data Integration combines data sources in a complete form

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Guidelines in Data Architecture are mandatory rules that you need to follow

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Guidelines in Data Architecture are mandatory rules that you need to follow

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- One subset of metadata is administrative metadata?

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Data in a data warehouse must be compiled, cleaned, validated, formatted and summarised

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Data warehousing is the act of storing small amounts of information

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In order remove any errors or redundant data, data must NOT be cleaned when migrating. 

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In order remove any errors or redundant data, data must NOT be cleaned when migrating. 

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Data marts are department-specific

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In data migration, data verification is a mandatory step

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In data migration, data verification is a mandatory step

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In a data lake, data is stored in its original format and can be structured or unstructured

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In a data lake, data is stored in its original format and can be structured or unstructured

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It's better to copy the data instead of moving it as part of a migration

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Data lakes can have both structured and unstructured data. Data is kept in its original format - written once, read as many times as it is needed

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Whenever we copy data, we need to verify it

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Whenever we copy data, we need to verify it

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Data Lake: a bunch of data in original format 

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Data Lake: a bunch of data in original format 

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There's nothing exclusive about storing "small amounts" in data warehousing