You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/data-lake-store/data-lake-store-comparison-with-blob-storage.md
+8-14Lines changed: 8 additions & 14 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -1,15 +1,9 @@
1
1
---
2
-
title: Azure Data Lake Storage Gen1 comparison with Azure Storage Blob | Microsoft Docs
3
-
description: Azure Data Lake Storage Gen1 comparison with Azure Storage Blob
4
-
services: data-lake-store
5
-
documentationcenter: ''
6
-
author: twooley
7
-
manager: mtillman
8
-
editor: cgronlun
2
+
title: Comparison of Azure Data Lake Storage Gen1 with Blob storage
3
+
description: Provides a summary of the differences between Azure Data Lake Storage Gen1 and Azure Blob storage.
9
4
10
-
ms.assetid: b199525b-84de-4f79-9eb6-69a613b8b217
5
+
author: twooley
11
6
ms.service: data-lake-store
12
-
ms.devlang: na
13
7
ms.topic: conceptual
14
8
ms.date: 03/26/2018
15
9
ms.author: twooley
@@ -31,15 +25,15 @@ The table in this article summarizes the differences between Azure Data Lake Sto
31
25
| Server-side API |[WebHDFS-compatible REST API](https://msdn.microsoft.com/library/azure/mt693424.aspx)|[Azure Blob Storage REST API](https://msdn.microsoft.com/library/azure/dd135733.aspx)|
32
26
| Hadoop File System Client |Yes |Yes |
33
27
| Data Operations - Authentication |Based on [Azure Active Directory Identities](../active-directory/develop/authentication-scenarios.md)|Based on shared secrets - [Account Access Keys](../storage/common/storage-account-keys-manage.md) and [Shared Access Signature Keys](../storage/common/storage-dotnet-shared-access-signature-part-1.md). |
34
-
| Data Operations - Authentication Protocol |OAuth 2.0. Calls must contain a valid JWT (JSON Web Token) issued by Azure Active Directory |Hash-based Message Authentication Code (HMAC). Calls must contain a Base64-encoded SHA-256 hash over a part of the HTTP request. |
28
+
| Data Operations - Authentication Protocol |OAuth 2.0. Calls must contain a valid JWT (JSON Web Token) issued by Azure Active Directory |Hash-based Message Authentication Code (HMAC). Calls must contain a Base64-encoded SHA-256 hash over a part of the HTTP request. |
35
29
| Data Operations - Authorization |POSIX Access Control Lists (ACLs). ACLs based on Azure Active Directory Identities can be set at the file and folder level. |For account-level authorization – Use [Account Access Keys](../storage/common/storage-account-keys-manage.md)<br>For account, container, or blob authorization - Use [Shared Access Signature Keys](../storage/common/storage-dotnet-shared-access-signature-part-1.md)|
36
30
| Data Operations - Auditing |Available. See [here](data-lake-store-diagnostic-logs.md) for information. |Available |
37
31
| Encryption data at rest |<ul><li>Transparent, Server side</li> <ul><li>With service-managed keys</li><li>With customer-managed keys in Azure KeyVault</li></ul></ul> |<ul><li>Transparent, Server side</li> <ul><li>With service-managed keys</li><li>With customer-managed keys in Azure KeyVault (preview)</li></ul><li>Client-side encryption</li></ul> |
38
-
| Management operations (e.g. Account Create) |[Role-based access control](../role-based-access-control/overview.md) (RBAC) provided by Azure for account management |[Role-based access control](../role-based-access-control/overview.md) (RBAC) provided by Azure for account management |
| Analytics Workload Performance |Optimized performance for parallel analytics workloads. High Throughput and IOPS. |Optimized performance for parallel analytics workloads. |
41
-
| Size limits |No limits on account sizes, file sizes or number of files |For specific limits, see [Scalability targets for standard storage accounts](../storage/common/scalability-targets-standard-account.md) and [Scalability and performance targets for Blob storage](../storage/blobs/scalability-targets.md). Larger account limits available by contacting [Azure Support](https://azure.microsoft.com/support/faq/)|
42
-
| Geo-redundancy |Locally-redundant (multiple copies of data in one Azure region) |Locally redundant (LRS), zone redundant (ZRS), globally redundant (GRS), read-access globally redundant (RA-GRS). See [here](../storage/common/storage-redundancy.md) for more information |
35
+
| Size limits |No limits on account sizes, file sizes, or number of files |For specific limits, see [Scalability targets for standard storage accounts](../storage/common/scalability-targets-standard-account.md) and [Scalability and performance targets for Blob storage](../storage/blobs/scalability-targets.md). Larger account limits available by contacting [Azure Support](https://azure.microsoft.com/support/faq/)|
36
+
| Geo-redundancy |Locallyredundant (multiple copies of data in one Azure region) |Locally redundant (LRS), zone redundant (ZRS), globally redundant (GRS), read-access globally redundant (RA-GRS). See [here](../storage/common/storage-redundancy.md) for more information |
43
37
| Service state |Generally available |Generally available |
44
38
| Regional availability |See [here](https://azure.microsoft.com/regions/#services)|Available in all Azure regions |
description: Learn how to achieve end-user authentication with Azure Data Lake Storage Gen1 using Azure Active Directory with Java
4
-
services: data-lake-store
5
-
documentationcenter: ''
6
-
author: twooley
7
-
manager: mtillman
8
-
editor: cgronlun
9
4
5
+
author: twooley
10
6
ms.service: data-lake-store
11
-
ms.devlang: na
12
7
ms.topic: conceptual
13
8
ms.date: 05/29/2018
14
9
ms.author: twooley
@@ -52,7 +47,7 @@ In this article, you learn about how to use the Java SDK to do end-user authenti
52
47
</dependency>
53
48
</dependencies>
54
49
55
-
The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [slf4j](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like log4j, Java logging, logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
50
+
The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [SLF4J](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like Log4j, Java logging, Logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
56
51
57
52
3. Add the following import statements to your application.
Copy file name to clipboardExpand all lines: articles/data-lake-store/data-lake-store-get-started-java-sdk.md
+4-10Lines changed: 4 additions & 10 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -1,15 +1,9 @@
1
1
---
2
-
title: 'Java SDK: Filesystem operations on Azure Data Lake Storage Gen1 | Microsoft Docs'
3
-
description: Use Azure Data Lake Storage Gen1 Java SDK to perform filesystem operations on Data Lake Storage Gen1 such as create folders, etc.
4
-
services: data-lake-store
5
-
documentationcenter: ''
6
-
author: twooley
7
-
manager: mtillman
8
-
editor: cgronlun
2
+
title: Java SDK - Filesystem operations on Data Lake Storage Gen1 - Azure
3
+
description: Use the Java SDK for Azure Data Lake Storage Gen1 to perform filesystem operations on Data Lake Storage Gen1 such as creating folders, and uploading and downloading data files.
9
4
10
-
ms.assetid: d10e09db-5232-4e84-bb50-52efc2c21887
5
+
author: twooley
11
6
ms.service: data-lake-store
12
-
ms.devlang: na
13
7
ms.topic: conceptual
14
8
ms.date: 05/29/2018
15
9
ms.author: twooley
@@ -54,7 +48,7 @@ The code sample available [on GitHub](https://azure.microsoft.com/documentation/
54
48
</dependency>
55
49
</dependencies>
56
50
57
-
The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [slf4j](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like log4j, Java logging, logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
51
+
The first dependency is to use the Data Lake Storage Gen1 SDK (`azure-data-lake-store-sdk`) from the maven repository. The second dependency is to specify the logging framework (`slf4j-nop`) to use for this application. The Data Lake Storage Gen1 SDK uses [SLF4J](https://www.slf4j.org/) logging façade, which lets you choose from a number of popular logging frameworks, like Log4j, Java logging, Logback, etc., or no logging. For this example, we disable logging, hence we use the **slf4j-nop** binding. To use other logging options in your app, see [here](https://www.slf4j.org/manual.html#projectDep).
58
52
59
53
3. Add the following import statements to your application.
0 commit comments