| About the Authors |
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ix | |
| About the Technical Reviewers |
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xi | |
| Foreword |
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xiii | |
| Introduction |
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xvii | |
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Chapter 1 Working with Azure Database Services Platform |
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1 | (82) |
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Understanding the Service |
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1 | (7) |
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3 | (2) |
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5 | (3) |
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8 | (12) |
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9 | (4) |
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13 | (7) |
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Migrating an Existing Database |
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20 | (5) |
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20 | (2) |
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22 | (3) |
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25 | (23) |
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26 | (3) |
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Split between Read/Write Applications |
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29 | (5) |
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34 | (3) |
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37 | (2) |
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39 | (9) |
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48 | (8) |
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Managing Elasticity at Runtime |
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51 | (2) |
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Pooling Different DBs Under the Same Price Cap |
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53 | (2) |
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55 | (1) |
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56 | (22) |
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56 | (7) |
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63 | (2) |
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65 | (13) |
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78 | (4) |
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79 | (2) |
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81 | (1) |
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82 | (1) |
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Chapter 2 Working with SQL Server on Hybrid Cloud and Azure IaaS |
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83 | (86) |
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Database Server Execution Options On Azure |
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84 | (1) |
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A Quick Overview of SQL Server 2017 |
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85 | (9) |
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Installation of SQL Server 2017 on Linux and Docker |
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87 | (4) |
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SQL Server Operations Studio |
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91 | (3) |
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94 | (38) |
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95 | (9) |
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104 | (22) |
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SQL Server Stretched Databases |
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126 | (6) |
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Migrate databases to Azure laaS |
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132 | (5) |
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Migrate a Database Using the Data-Tier Application Framework |
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134 | (3) |
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Run SQL Server on Microsoft Azure Virtual Machines |
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137 | (15) |
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Why Choose SQL Server on Azure Virtual Machines |
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137 | (2) |
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Azure Virtual Machines Sizes and Preferred Choice for SQL Server |
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139 | (6) |
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Embedded Features Available and Useful for SQL Server |
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145 | (3) |
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Design for Storage on SQL Server in Azure Virtual Machines |
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148 | (4) |
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Considerations on High Availability and Disaster Recovery Options with SQL Server on Hybrid Cloud and Azure IaaS |
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152 | (15) |
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Hybrid Cloud HA/DR Options |
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153 | (4) |
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157 | (10) |
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167 | (2) |
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Chapter 3 Working with NoSQL Alternatives |
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169 | (94) |
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169 | (6) |
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172 | (1) |
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173 | (2) |
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NoSQL alternatives in Microsoft Azure |
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175 | (1) |
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Using Azure Storage Blobs |
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175 | (26) |
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Understanding Containers and Access Levels |
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176 | (3) |
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Understanding Redundancy and Performance |
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179 | (13) |
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Understanding Concurrency |
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192 | (4) |
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Understanding Access and Security |
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196 | (5) |
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Using Azure Storage Tables |
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201 | (15) |
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Planning and Using Table Storage |
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202 | (6) |
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208 | (7) |
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215 | (1) |
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216 | (24) |
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Justifying the Caching Scenario |
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216 | (7) |
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223 | (10) |
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233 | (7) |
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240 | (21) |
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Using SQL to Implement Search |
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242 | (3) |
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Understanding How to Start with Azure Search |
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245 | (3) |
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248 | (6) |
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Implementing Azure Search |
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254 | (7) |
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261 | (2) |
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Chapter 4 Orchestrate Data with Azure Data Factory |
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263 | (64) |
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Azure Data Factory Introduction |
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263 | (9) |
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Main Advantages of using Azure Data Factory |
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265 | (1) |
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266 | (6) |
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Azure Data Factory Administration |
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272 | (1) |
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Designing Azure Data Factory Solutions |
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272 | (44) |
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Exploring Azure Data Factory Features using Copy Data |
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273 | (15) |
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Anatomy of Azure Data Factory JSON Scripts |
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288 | (9) |
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Azure Data Factory Tools for Visual Studio |
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297 | (4) |
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Working with Data Transformation Activities |
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301 | (13) |
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Microsoft Data Management Gateway |
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314 | (2) |
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Considerations of Performance, Scalability and Costs |
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316 | (6) |
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317 | (4) |
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321 | (1) |
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Azure Data Factory v2 (Preview) |
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322 | (3) |
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Azure Data Factory v2 Key Concepts |
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322 | (3) |
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325 | (2) |
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Chapter 5 Azure Data Lake Store and Azure Data Lake Analytics |
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327 | (66) |
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How Azure Data Lake Store and Analytics were Born |
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329 | (1) |
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330 | (33) |
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330 | (2) |
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Hadoop Distributed File System |
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332 | (1) |
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Create an Azure Data Lake Store |
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333 | (3) |
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Common Operations on Files in Azure Data Lake Store |
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336 | (5) |
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Copy Data to Azure Data Lake Store |
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341 | (20) |
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Considerations on Azure Data Lake Store Performance |
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361 | (2) |
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Azure Data Lake Analytics |
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363 | (28) |
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363 | (1) |
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364 | (2) |
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Tools for Managing ADLA and Authoring U-SQL Scripts |
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366 | (5) |
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371 | (20) |
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391 | (1) |
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392 | (1) |
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Chapter 6 Working with In-Transit Data and Analytics |
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393 | (34) |
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Understanding the Need for Messaging |
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394 | (24) |
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Use Cases of Uni-Directional Messaging |
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396 | (3) |
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399 | (10) |
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409 | (9) |
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Understanding Real-Time Analytics |
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418 | (7) |
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Understanding Stream Analytics |
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419 | (3) |
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Understanding AppInsights |
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422 | (3) |
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425 | (2) |
| Index |
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427 | |
Lisainfo e-raamatute kohta