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Merge pull request #106966 from normesta/normesta-reg-updates-5
Updating intro to avoid comparing gen1 with gen2
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articles/storage/blobs/data-lake-storage-introduction.md

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@@ -21,15 +21,15 @@ Data Lake Storage Gen2 makes Azure Storage the foundation for building enterpris
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A fundamental part of Data Lake Storage Gen2 is the addition of a [hierarchical namespace](data-lake-storage-namespace.md) to Blob storage. The hierarchical namespace organizes objects/files into a hierarchy of directories for efficient data access. A common object store naming convention uses slashes in the name to mimic a hierarchical directory structure. This structure becomes real with Data Lake Storage Gen2. Operations such as renaming or deleting a directory become single atomic metadata operations on the directory rather than enumerating and processing all objects that share the name prefix of the directory.
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In the past, cloud-based analytics had to compromise in areas of performance, management, and security. Data Lake Storage Gen2 addresses each of these aspects in the following ways:
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Data Lake Storage Gen2 builds on Blob storage and enhances performance, management, and security in the following ways:
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- **Performance** is optimized because you do not need to copy or transform data as a prerequisite for analysis. The hierarchical namespace greatly improves the performance of directory management operations, which improves overall job performance.
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- **Performance** is optimized because you do not need to copy or transform data as a prerequisite for analysis. Compared to the flat namespace on Blob storage, the hierarchical namespace greatly improves the performance of directory management operations, which improves overall job performance.
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- **Management** is easier because you can organize and manipulate files through directories and subdirectories.
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- **Security** is enforceable because you can define POSIX permissions on directories or individual files.
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- **Cost effectiveness** is made possible as Data Lake Storage Gen2 is built on top of the low-cost [Azure Blob storage](storage-blobs-introduction.md). The additional features further lower the total cost of ownership for running big data analytics on Azure.
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Also, Data Lake Storage Gen2 is very cost effective because it is built on top of the low-cost [Azure Blob storage](storage-blobs-introduction.md). The additional features further lower the total cost of ownership for running big data analytics on Azure.
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## Key features of Data Lake Storage Gen2
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