Index. Scott Klein 2017 S. Klein, IoT Solutions in Microsoft s Azure IoT Suite, DOI /

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1 Index A Advanced Message Queueing Protocol (AMQP), 44 Analytics, 9 Apache Ambari project, API key, 244 Application data, 4 Azure Active Directory (AAD), 91, 257 Azure Blob Storage, 191 Azure data catalog add tags to selected objects, 263 Azure Data Lake Store account, 256 Azure SQL Database, 256, 261, 265 connect to data sources, data discovery, data sources, definition, 255 Details blade, 266 discover data sources, 266, 268 Include Preview checkbox, 263 launch registration tool, provision, 257 register data sources, , 266 scenarios, 256 select objects to register, 262 sign data catalog, users, 255 Azure Data Factory (ADF), 93 activity, 106 Allow access to Azure services, 125 Azure blob dataset, 251 Azure ML linked service, 250 Azure SQL Database server, 124 Azure Storage, 127 CarEventGenerator Visual Studio solution, 122 copying data, 130, Cortana Intelligence suite, 120 creation, 124 data integration, 105 datasets, 106, firewall rules, 125 Hadoop/HDInsight job, 106 linked service, 107 pipeline, 106, , portal Azure Storage linked service, 112 configuration, 108 creation, 107 datasets, external property, HDFS, 111 HDInsight linked service, 113 LinkedService, 111 MyTestDataFactory1 blade, 110, 116 overview blade, pipeline diagram, 116 pipeline orchestration, 111 replacing, properties, 112 settings blade, 110 types, 112 Properties blade, 124 SQL, 127 SQL Database blade, 124 SQL Server Management Studio, 125 TemperatureDF, 249 username@servername, 126 vehicle telemetry orchestration pipeline, 121 vehicle telemetry solution diagram, 121 visual studio, , 125 Azure Data Lake Analytics (ADLA), 193, 206 capabilities, 155 creation, Data Explorer, 162 job catalog, 162 Job Details pane, 162 Job filter, 161 job management node, 160 new job pane, 159 parallelism, 159 properties, 159 tools, 167, U-SQL query, 159 Scott Klein 2017 S. Klein, IoT Solutions in Microsoft s Azure IoT Suite, DOI /

2 Azure Data Lake Analytics (ADLA) (cont.) visual studio Active Directory settings, 166 ADLAApp, 163 Azure Active Directory application, 166 C# Console application, 163 Data Explorer, 162 DataLakeAnalyticsJobManagementClient class, 166 Essentials blade, 163 Main() method, Package Manager Console, 163 packages, 163 SampleUSQLScript.txt file, 166 SearchLog.tsv, 166 U-SQL snippet, 162 Azure Data Lake Store (ADLS), 191, 206, 256, 260, 265 Azure Active Directory, 145 Azure Blob Storage, 143 Azure DocumentDB, 143 Azure HDInsight, 144 Azure Portal, Azure SQL Database, 143 creation, Hadoop Distributed File System, 144, 145 hyperscale, 145 IoT Hub and Stream Analytics, 143 security ACLs, authentication, 151 authorization, 152 role-based access control, 152 U-SQL, 144 visual studio, WebHDFS. HDFS, 144 Azure Event Hubs Azure IoT Hub vs., creation, 274, 276, definition, 273 namespace, creation, partitions, 278 properties and overview blades, 280 send messages, , 286 shared access policies, with stream analytics, Topics, 273 Azure HDInsight, 213 cluster, , 201, 203 definition, 191 Hadoop, 191 Azure IoT Hub, , 278, AMQP, 44 bidirectional communication, 42 cloud-to-device communication, 42, 50 communication patterns, 45 connection string, 65 consumer groups, 50 creation settings, 46, 47 device connection, 41 Device Explorer connection state, 67 device management solutions, 70 DeviceMessage, 66 device registration Azure Portal Device Explorer, 64 configuration, Device Explorer, 60 connection string, 59 creation, device, 61 Device Explorer, 57 IoT Hub primary connection string, 59 managing devices, Device Explorer, 61 shared access policies, 58 updated Overview blade, 63 device-to-cloud communication, 42, 45 device-to-cloud settings, 50 diagnostics settings, field gateway, 44 IoT solution core essentials, 41 IP-capable devices, 44 JsonConvert.SerializeObject method, 65 JSON object, 65 ListBox line, 66 messaging settings, Microsoft Azure IoT Protocol Gateway, 51 Microsoft MSDN, 46 monitoring categories, 53 monitoring settings, 53 operations monitoring settings, pricing and scale blade, 55 pricing and scale tier, 46 protocol gateway, 44 readsensor() method, role, 43 settings, 48 shared access policies, 55 temperature and humidity data, 42 updated message count, 68 uploading files, 68, 70 usage, viewing live data, 67 Azure IoT starter kit, 15 Azure machine learning (ML) create workspace, definition, 228 studio, temperature data, , 236, upload data, 231, 233 web service, , Azure SQL Database, , 265,

3 Azure stream analytics (ASA) Audit Log blade, Azure stream analytics (ASA) definition, capabilities and benefits, 73 configuration, 75, 215, creation, 74 data flow, 72 data transformation, 71 Error Policy, 84 event ordering, job, 220 metric pane, metrics and definition, 79 micro-batch processing, 72 modify query, 219 Power BI, 215 real-time processing, 71, 72 REST API, 75 scale, 80 sitting, 71 web service GET/POST, 75 B Basic tier, 276, 278 Batch-type queries, 8 Big data, 193 application data, 4 data management systems, 5 fire hose, 5 organization, 7 overview, 4 query processing, 8 solutions and technologies, 9 three Vs, 5 6 value, 7 vs. traditional databases, 7 8 Big Data as-a-service (BDaaS), 155 Blob Storage, 191 Business intelligence, 9 C Car, connected, 11 careentgenerator.zip, 122 Cluster AAD Identity blade, 199 Azure HDInsight, , 201, 203 configuration, credentials, 197 pricing, Cold path, 213 Cow, connected, Cow-monitoring system, 215 D Data discovery, 255, Data Explorer, 162 Data integration, 105 Data management systems, 5 Data mining, 9 Data source, 257 ADLS, 199 cluster AAD Identity blade, 199 configure, 198 examples, 199 service principal, 199 Data stream vs. reference data, 88 DBA, 255 Decision tree, 193 Deploy Web Service, Details blade, 266 Device column, 237 Device Explorer, 57 DeviceMessage, 66 DHT11 sensor, 24, 27 Discover data sources, 266, 268 E Error Policy, 84 F Fast and Easy (FEZ) HAT, Fire hose, 5 Free tier, 229 G GHIElectronics.UWP.Shields. FEZHAT, H Hadoop Azure HDInsight, 191 batch queries HDInsight tools, , 209.NET SDK, query console, 209, Visual Studio, , 209 definition, 192 HDFS, 192 HiveQL, 192 MapReduce, 192 Pig Latin, 192 storm, 192 YARN,

4 Hadoop Distributed File System (HDFS), 111, 144, Hands-off approach, 193 Hive, 192, 206 job output, 208 query, 209 Query Editor, 211 query window, 207 Tez, 207 Visual Studio, 207 HiveQL, 192, 211 Hopping windows, 102 Hortonworks Apache Hadoop Platform, 192 Hortonworks Data Platform (HDP), 144, 191 Hot path, 213 Hyak, 204 Hyperscale, 145 I Information explosion, 4 Internet of Things (IoT), 273 connected homes, 12 credit card-sized boards, 10 devices, 10 Gartner estimates, 10 Microsoft s, 11 overview, 9 10 Raspberry Pi, 15, 17 scenarios, 11 software advancement, 10 tessel board, 32 J, K, L Job Topology, 215 JsonConvert.SerializeObject method, 65 M Machine learning, 227 MainAsync method, 288 MapReduce, 192 Metrics blade, 285 Micro-batch processing, 72 MicroSD Card, 21 Microsoft Avro Library, 93 Microsoft Azure Service Bus Nuget Package, Microsoft Azure solution, 12 Microsoft Insider Program, 23 MicrosSD card, 17 myawesomeserver server, 260 mypi3device, 61 MyTestDataFactory1, 116 N Namespace, , 279.NET SDK, 203 New Out-of-the-Box Software (NOOBS), 22 Node.js language, 33 Nonlinear scalability model, 8 O One-Class Support Vector Machine, 242 Online Transaction Processing (OLTP), 8 P Parallelism, 159 Pay-per-job model, 193 Pig Latin, 192 Power BI, 213, 215 Azure Stream Analytics, 215 desktop, 215 new output blade, 216, 218 real-time data stream process, 221 service, 215 Product.odc. file, 270 Publisher policy, 276 Q Query console, 209, R Raspberry Pi, 16, 220 DHT11 sensor, 24, 27 FEZ HAT, generate data, MicrosSD card, Pi 2 and Pi 3, 16 Windows IoT Core, 19, readsensor() method, 288 Real-time data insights, 213 Real-time data streaming Azure Data Lake Store account, 89 Azure HDInsight, 90 Azure Stream Analytics, 86, 94, 215, blank canvas, 222 completed report, 224 configuration, 92, 223 consumer groups, 89 create report, 222 creation, input, data stream vs. reference data, 88 definition, query,

5 hopping windows, 102 JSON, CSV, and Avro, 93 MapReduce job, 93 Microsoft Avro Library, 93 MyPiStreamAnalytics job, 86 Pin to dashboard option, 85, 225 Power BI, 213, 215, 221 property and overview panes, 86 running, saved report, 224 sliding windows, 102 Stream Analytics, 90 tumbling window, 100, 101 windowing, Relational database systems, 5 scaling, 8 to big data solutions, 8 Remote machine, 26, 32 RFID technology, 10 S Saved Datasets, 234 Score Model module, 239 scottkleinw2, 112 Script.usql, 180 SearchLog.tsv, 166 Self-service business intelligence (BI), 256 SensorData.csv file, 265 Server Explorer window, 206, 209 Service Bus, 276 Shared access policy, Shared access signature (SAS), 279 Sliding windows, 102 Split Data module, 239 SQL Server, 5 SQL Server Analysis Services, 5 SQL Server MVP Melissa Coates, 257 Standard tier, 230, 275, 278 Stream analytics Inputs blade, MainAsync method, 288 readsensor() method, 288 using statement, 287 Structured Computations Optimized for Parallel Execution (SCOPE), 174 SubmitJobByPath method, 166 SunFounder kit, T Tableau, 213 Temperature data build experiment, 235 device column, 237 One-Class Support Vector Machine, 242 pop-up, 236 run experiment, 239 Saved Datasets, 234 scored data, 241 Score Model module, 239 select blank experiment, 234 Split Data module, 239 subnodes, 234 trained model, 240, 241 visualize dataset, 236 Tessel board configuring Tessel 2, 35 IoT devices, 32 Node.js, 33 provision command, 35 setting up, 34 t2 rename, 35 t2 run command, 36 Visual Studio Code, Zadig tool, 33 Tez, 207 Three Vs variety, 6 velocity, 6 volume, 5 Topics, 273 Traditional database systems, 7 8 Tumbling window, 100, 101 U U-SQL, 144, 191 aggregators, architecture, 174 assemblies, Azure Data Lake Analytics, 174 core language principles, 174 extensibility, extractors, functions, 185 inline expressions and code-behind, job execution lifetime, 177, 179 operators, 186 outputters, transformers, T-SQL, 173 V Value, 7 Variety, 6 Vehicle telematics, 121 Velocity, 6 295

6 Veracity, 7 Visual Studio, 35 36, 203, , 209 Volume, 5 W, X WebHDFS. HDFS, 144 Web service add input and output, 243 API key, 244 batch requests endpoint URL, click use endpoint link, 248 Deploy Web Service, endpoint configuration, 247 ML Studio, 242 modify input, 244 start page, 246 Web services, 231 Windows 10 IoT core, 18 completed process, 21 dashboard, 19 install, 19 MicroSD Card, 21 NOOBS, 22 Raspberry Pi 2, 20 Raspberry Pi 3, 22 set up new device option, 19 WinUSB, 33 Y YARN, 192 Z Zadig USB tool,

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