Sample access db

Author: E | 2025-04-24

XML DB GitHub Repo. Try out the XML DB code samples on our new GitHub repository. XML DB GitHub Repository; XML DB Sample Code Library. The XML DB Sample Code Library Bookmark This Page Here are links to the sample db's, tutorials, and some useful white papers. A97 Samples ACC97: Microsoft Access 97 Sample Reports Available in

Sample access db connection string - HostBuddy.com

Performing access point management tasks, including the following: modify the access point’s configuration to optimize access point perfor- ■... Page 28: Direct Console Access DB-9 connector on both ends. Terminal connections will vary, requiring either a DB-9 or DB-25 connector, male or female. Serial cable options between an HP ProCure Wireless Access Point 420 and a PC terminal are shown in the following table. Page 29 Password prompt. You will then see the access point console command (CLI) prompt, for example: HP ProCurve Wireless Access Point 420# If you want to continue with console management of the access point at this time, see chapter 3, “Getting Started With Access Point Configuration” for some basic configuration steps. Page 30: Sample Network Topologies ■ infrastructure for wireless LANs infrastructure wireless LAN for roaming wireless PCs ■ For more topology information, see the HP network products World Wide Web site, Ad Hoc Wireless LAN (no access point) Ad Hoc Network with No Access Point... Page 31: Infrastructure Wireless Lan Installing the Access Point 420 Sample Network Topologies Infrastructure Wireless LAN Wired LAN Extension to Wireless Adapters File Server Desktop PC Notebook with wireless PC Card Adapter Switch Access Point 420 PC with wireless PCI Adapter The Access Point 420 is designed to provide access to a wired LAN for wireless clients. Page 32: Infrastructure Wireless Lan For Roaming Wireless Pcs Installing the Access Point 420 Sample Network Topologies Infrastructure Wireless LAN for Roaming Wireless PCs Seamless Roaming for Wireless Clients File Server Desktop PC Switch Wireless Client Switch Access Point 420 Wireless Client Access Point 420 Wireless Client The Basic Service Set (BSS) defines the communications domain for each access point and its associated wireless clients. Page 33 Extended Service Set (ESS). By placing the access points so that a continuous coverage area

Sample access db connection string - SmarterASP.net

Share via Code Sample 03/05/2025 Azure Cosmos DB Spring Data RBAC with Microsoft Entra ID Sample project.FeaturesThis sample only work with Spring Boot 3This sample demonstrate basic Spring Data code for Java SQL API to connect to Azure Cosmos DB using built-in role-based access control (RBAC), and authenticating using Microsoft Entra ID. See instructions below on setting up the RBAC/Microsoft Entra requirements to access your Cosmos DB account and run the app successfully.Getting StartedPrerequisitesJava Development Kit 8 or higher.An active Azure account. If you don't have one, you can sign up for a free account. Alternatively, you can use the Azure Cosmos DB Emulator for development and testing. As emulator https certificate is self-signed, you need to import its certificate to java trusted cert store, explained hereMaven.(Optional) SLF4J is a logging facade.(Optional) SLF4J binding is used to associate a specific logging framework. with SLF4J. SLF4J is only needed if you plan to use logging, please also download an SLF4J binding which will link the SLF4J API with the logging implementation of your choice. See the SLF4J user manual for more information.Clone this repogit clone cosmos/azure-spring-data-cosmos/cosmos-aad-sampleCreate a Microsoft Entra application and service principalFollowing the instructions here for creating a Microsoft Entra application and service principal.In the authentication section, be sure to select option 2 to create a new application secret, and make sure you store the secret value somewhere in a text editor.Search for your app in Azure Portal --> Microsoft Entra ID --> App Registrations. You should see information like the below:Review resources/application.yaml in the repo you have cloned.Replace with the URI of your Cosmos DB accountReplace with Directory (tenant) ID from the portal.Replace with Application (client) ID from the portalReplace with the application secret value you created earlierFor the value of cosmos.defaultScope replace the part with the name of

Sample access db connection string - myASP.NET

Seconds/ch in 32 GSa/s mode31.25 seconds/ch in 16 GSa/s mode(16-bit I & 16-bit Q sample pairs)62.5 seconds/ch in 32 GSa/s mode62.5 seconds/ch in 16 GSa/s mode(8-bit I & 8-bit Q sample pairs)5G NR – (200 MHz)DDC data rate per channel – 0.256 GSa/s IQ62.5 seconds/ch in 32 GSa/s mode62.5 seconds/ch in 16 GSa/s mode(16-bit I & 16-bit Q sample pairs)125 seconds/ch in 32 GSa/s mode125 seconds/ch in 16 GSa/s mode(8-bit I & 8-bit Q sample pairs)5G NR – (100 MHz)DDC data rate per channel – 0.128 GSa/s IQ125 seconds/ch in 32 GSa/s mode125 seconds/ch in 16 GSa/s mode(16-bit I & 16-bit Q sample pairs)250 seconds/ch in 32 GSa/s mode250 seconds/ch in 16 GSa/s mode(8-bit I & 8-bit Q sample pairs)The ADP7104 digitizer have excellent performance characteristics, critical for wideband signal capture.Production statistics for 40-channels (10 different ADP7104 modules):Sample Rate4 ChannelMode – 16 Gsa/s2 ChannelMode – 32 Gsa/s2 ChannelMode – 32 Gsa/sAnalog Bandwidth (-3dB)6.5 GHz6.5 GHz10 GHzAmplitude Flatness @-6 dBFs, -32 dBm to +22 dBm full scale (1 dB steps)(all values are typical and based on statistics)± 0.2 dB, fin= DC…6.0 GHz-3 dB, fin= 6.5 GHz± 0.2 dB, fin= DC…6.0 GHz-3 dB, fin= 6.5 GHz± 0.2 dB, fin= DC…8.0 GHz± 0.5 dB, fin= 8.0…9.5 GHz-3 dB, fin= 10 GHzGroup Delay @-6 dBFS, 1 dBm / 700 mV full scale(all values are typical and based on statistics)± 15 ps, fin= 500MHz…4.5 GHz± 25 ps, fin= 4.5…6.0 GHzN/A± 15 ps, fin= 500MHz…6.5 GHz± 25 ps, fin= 6.5…9.5 GHzN/AENOB @-3 dBFS, -4 dBm / 400 mV full scale(all values are typical and based on statistics)6.5, fin= DC…5.0 GHz6.4, fin= 5.0…6.5 GHz6.6, fin= DC…6.5 GHz6.2, fin= DC…1.0 GHz6.1, fin= 1.0…4.0 GHz5.9, fin= 4.0…5.0 GHz6.2, fin= 5.0…10.0 GHzSFDR @-3 dBFS, -4 dBm / 400 mV full scale(excluding harmonic distortion)(all values are typical and based on statistics)-64 dBc, fin= DC…1 GHz-64 dBc, fin= 1…3 GHz-50 dBc, fin= 3…6.5 GHz-64 dBc, fin= DC…1 GHz-64 dBc, fin= 1…3 GHz-50 dBc, fin= 3…6.5 GHz-64 dBc, fin= DC…3 GHz-64 dBc, fin= 3…5 GHz-60 dBc, fin= 5…7 GHz-60 dBc, fin= 7…9 GHz-58 dBc, fin= 9…10 GHzHD2, 2nd Harmonic @-3 dBFS, -4 dBm / 400 mV full scale(all values are typical and based on statistics)-62 dBc, fin= DC…1 GHz-55 dBc, fin= 1…2 GHz-53 dBc, fin= 2…3 GHz-62 dBc, fin= DC…1 GHz-55 dBc, fin= 1…2 GHz-53 dBc, fin= 2…3 GHz-61 dBc, fin= DC…1 GHz-56 dBc, fin= 1…2 GHz-53 dBc, fin= 2…3 GHz-46 dBc, fin= 3…4 GHz-43 dBc, fin= 4…6 GHzHD3, 3rd Harmonic @-3 dBFS, -4 dBm / 400 mV full scale(all values are typical and based on statistics)-52 dBc, fin= DC…1 GHz-51 dBc, fin= 1…2 GHz-52 dBc, fin= DC…1 GHz-51 dBc, fin= 1…2 GHz-52 dBc, fin= DC…1 GHz-50 dBc, fin= 1…2 GHz-48 dBc, fin= 2…3 GHz-45 dBc, fin= 3…4 GHzRMS noise @-4 dBm / 400 mV full scale(all values are typical and based on statistics)1.139 mVrms1.190 mVrms1.490 mVrmsUsing digital equalizer: 7,408,495 Digital equalization of multiple interleaved analog-to-digital converters – August 5, 2008Group Delay measured using: 9,933,467 Group delay measurement apparatus and method – April. XML DB GitHub Repo. Try out the XML DB code samples on our new GitHub repository. XML DB GitHub Repository; XML DB Sample Code Library. The XML DB Sample Code Library Bookmark This Page Here are links to the sample db's, tutorials, and some useful white papers. A97 Samples ACC97: Microsoft Access 97 Sample Reports Available in

Sample access db connection string - SharkASP.NET

Database Check (Generic) using ActiveXperts Network MonitorActiveXperts Network Monitor uses ADO (ActiveX Data Objects, a set of Microsoft objects for accessing data sources) to check availability of OLE DB compliant databases. OLE DB (sometimes written as OLEDB or OLE-DB) is an API for accessing different types of data stores in a uniform manner, including: MS SQL, MS Access, Oracle, MySQL and more.The ActiveXperts database check performs a database query, and matches the query output against a value. If the value is matched, the check is considered 'successful'. If the value not matched, or if the database cannot be accessed, the check is considered 'failed'.The ActiveXperts Database Query check requires the following parameters: OLE DB (ADO) Connection String - The OLE DB connection string, to connect to the database. The connection string format depends on the type of database. For more information, see: www.connectionstrings.com. Sample connection string (1): DRIVER=Microsoft Access Driver(*.mdb);DBQ=\\SERVER03\Public\Northwind.mdb Sample connection string (2): DRIVER={SQL Server}; Server=pluto; Database=customers; UID=sa; PWD=sa1 NOTE: You can use a password in this connections string. To hide the password, you can use the placeholder. When using this placeholder, ActiveXperts will automatically substitute this placeholder with the 'Password' field described below; Password - This is the password string (shown as asterisks) that will substitute the field described above; Database Query - The database query. The total result of the check is determined by the query output has been analyzed; Database Field - The field that will be matched to determine the result of the check; Database Field Type - Type of field to be checked; Field must be Equal To / Not Equal To - Operator used to determine the result of the check;You can use an AND/OR operator to create an advanced condition.More on ADO (ActiveX Data Objects)The ActiveX Data Objects (ADO) interfaces represent the best of the existing Microsoft data access programming models. If you are familiar with Data Access Objects (DAO) or Remote Data Objects (RDO), you will recognize the interfaces and will be able to work with them very quickly. You will also notice considerable improvements in the model, and tasks that were awkward in previous models have either been fixed or eliminated from the ADO model.The ADO objects provide you with the fastest, easiest and most productive means for accessing all kinds of data sources. The ADO model strives to expose everything that the underlying data provider can do, while still adding value by giving you shortcuts for common operations.ADO is Microsoft's strategic, high-level interface to all kinds of data. ADO provides consistent, high-performance access to data, whether you're creating a front-end database client or middle-tier business object using an application, tool, language, or even an Internet browser. ADO is the single data interface you need to know for 1- to n-tier client/server and Web-based data-driven solution development. ADO is designed as an easy-to-use application level interface to Microsoft's newest and most powerful data access paradigm, OLE DB. OLE DB provides high-performance access to any data source, including relational and non-relational

Northwind sample DB in Access 2025 - Eileen's Lounge

The iterations of the for loop, we are going to define a variable to hold the addition of the squares of the samples:And each sample is squared and added to the sum. We could do the conversion into floats after the square, but then, the square value might not fit into a u16:1sum += (sample as f32) * (sample as f32);And we compute the decibels (or something close enough to that) after the for loop:1let d_b = 20.0f32 * (sum / LEN as f32).sqrt().log10();2println!(3 "ADC values: {:?}, sum: {}, and dB: {} ",4 sample_buffer, sum, d_b5);We compile and run with cargo r and should get some output similar to:1ADC values: [0, 0, 0, 0, 0], sum: 0, and dB: -inf2ADC values: [0, 0, 0, 3, 0], sum: 9, and dB: 2.55272483ADC values: [0, 0, 0, 11, 0], sum: 121, and dB: 13.8381544ADC values: [8, 0, 38, 0, 102], sum: 11912, and dB: 33.7701455ADC values: [64, 23, 0, 8, 26], sum: 5365, and dB: 30.3059986ADC values: [0, 8, 41, 0, 87], sum: 9314, and dB: 32.701667ADC values: [137, 0, 79, 673, 0], sum: 477939, and dB: 49.8040248ADC values: [747, 0, 747, 504, 26], sum: 1370710, and dB: 54.3797539ADC values: [240, 0, 111, 55, 26], sum: 73622, and dB: 41.68037410ADC values: [8, 26, 26, 58, 96], sum: 13996, and dB: 34.470337MQTTConceptsWhen we wrote our previous firmware, we used Bluetooth Low Energy to make the data from the sensor available to the rest of the world. That was an interesting experiment, but it had some limitations. Some of those limitations were introduced by the hardware we were using, like the fact that we were getting some interferences in the Bluetooth signal from the WiFi communications in the Raspberry Pi. But others are inherent to the Bluetooth technology, like the maximum distance from the sensor to the collecting station.For this firmware, we have decided to take a different approach. We will be using WiFi for the communications from the sensors to the collecting station. WiFi will allow us to spread the sensors through a much greater area, especially if we have several access points. However, it comes with a price: The sensors will consume more energy and their batteries will last less.Using WiFi practically implies that our communications will be TCP/IP-based. And that opens a wide range of possibilities, which we can summarize with this list in increasing order of likelihood:Implement a custom TCP or UDP protocol.Use an existing protocol that is commonly used for writing APIs. There are other options, but HTTP is the main one here.Use an existing protocol that is more tailored for the purpose of sending event data that contains values.Creating a custom protocol is expensive, time-consuming, and error-prone, especially without previous experience. It''s probably the worst idea for a proof of concept unless you have a very specific requirement that cannot be accomplished otherwise.HTTP comes to mind as an excellent solution to exchange data. REST APIs are an example of that. However, it has some limitations, like the unidirectional

This sample shows how to access Azure Cosmos DB

Databases, email and file systems, text and graphics, custom business objects, and more. ADO is implemented with a small footprint, minimal network traffic in key Internet scenarios, and a minimal number of layers between the front-end and data source-all to provide a lightweight, high-performance interface. ADO is easy to use because it is called using a familiar metaphor - the OLE Automation interface, available from just about any tool and language on the market today. And since ADO was designed to combine the best features of, and eventually replace RDO and DAO, it uses similar conventions with simplified semantics to make it easy to learn for today's developers.ADO Connection StringsActiveXperts Network Monitor uses ADO (ActiveX Data Objects, a set of Microsoft objects for accessing data sources) to check availability of OLE DB compliant databases. In Network Monitor, you must use an ADO connection string to connect to an OLE DB compliant database.Because of its wide acceptance, its universal interface and its performance, ActiveXperts selected ADO as its primary protocol to monitor a variety of databases. You can run multiple database checks simultaneously.You can either use the built-in 'Database Query(Generic)' check to perform basic availability checks, or use advanced custom VBScript routines to perform advanced database checks.MS AccessMS Access connection strings require the following format:DRIVER=Microsoft Access Driver (*.mdb);DBQ=Sample MS Access connection string:DRIVER=Microsoft Access Driver (*.mdb);DBQ=C:\Database Files\Customers.mdbMS SQLMS SQL connection strings require the following format (UID and PWD are optional):DRIVER={SQL Server};Server=;Database=;UID=;PWD=Sample MS SQL connection string:DRIVER={SQL Server}; Server=pluto; Database=customers; UID=sa; PWD=mypasswordTo hide a password in the 'connection string' field, enter the password in the Password field and use it in the 'connection string' like this:Driver={SQL Server}; Server=server_name; Database=database_name; UID=user_name; PWD=MySQLMySQL connection strings require the following format (Uid and Password are optional): Driver={MySQL ODBC 3.51 Driver};Server=;Database=;Uid=;Password=Sample MySQL connection string:Driver={MySQL ODBC 3.51 Driver};Server=pluto;Database=CRM;Uid=admin;Password=welcomeTo hide a password in the 'connection string' field, enter the password in the Password field and use it in the 'connection string' like this:Driver={MySQL ODBC 3.51 Driver};Server=MyServer;Database=MyDatabase;Uid=sa;Password=;IMPORTANT: For more information about connection strings, please check the following web site: www.connectionstrings.com.TracingActiveXperts provides a trace log for all ADO/OLE DB database operations. To turn on tracing, assign a valid filename to the following registry value:HKLM\Software\ActiveXperts\Network Monitor\Trace\AdoCheckNOTE: You need to restart the service after the registry change.Advanced database checksThe built-in database checks only checks if it can query server. If the query is successful, the database turns out to be up and running.However, you may need to do more in-depth checking of a database.Read our VBScript Guidelines for more information about VBScript checks. This page also contains advanced VBScript database samples.

sakila-sample-database-ports/ms-access-sakila-db/access

Mixer and allowing you to record every channel plus the main mix with a single mouse click. Even better, your Capture sessions open natively in Studio One! Studio One Pro 7 DAW Software Access Included. Your hardware registration includes a 6-month stackable membership to Studio One Pro+ featuring unlimited access to the latest version of Studio One Pro and all the extras. Signal Level Led Signal: -30 dBFS (Pre-EQ)Clip: -3.0 dB Before Clip (Pre or Post-EQ) VoltageRequirements 100-230 VAC, 50-60 Hz Product Name StudioLive® AR12c Analog Mixer, Blue Digital Audio USB Recording Port USB 2.0 Instrument Input Connection Type 1/4” TS Female, Unbalanced, Hi-Z Instrument Inputs Dynamic Range > 108 dB (Mid Gain, Unweighted) Instrument Inputs Frequency Response 20 Hz to 20 kHz, +0.5/-1.5 dB Instrument Inputs Gain Range 43 dB, ±1 dB (+12 to +55 dB) Instrument Inputs Maximum Level +9 dBu ±1.0 dB (Minimum Gain, 1 kHz@0.5% THD + N) Line Input Connection Type 1/4" TRS, Balanced Line Inputs Frequency Response 20 Hz to 20 kHz, +0.5/-1.5 dB Line Inputs Gain Range Mono: 40 dB, ± 1 dB, Stereo: 0 dB or 10 dB Line Inputs Impedance 10 kΩ (Balanced) Line Inputs Maximum Level +26 dBu ±1.0 dB (Minimum Gain, 1 kHz@0.5% THD + N) Line Inputs Signal To Noise Ratio 85 dB (+4 dBu) Line Inputs Total Harmonic Distortion Microphone Preamp Common Mode Rejection Ratio 65 dB (1 kHz, +55 dB Gain) Microphone Preamp Equivalent Input Noise Microphone Preamp Frequency Response 20 Hz to 20 kHz, +0.5/-1.5 dB Microphone Preamp Gain Control Range 43 dB (+12 to +55 dB) Microphone Preamp Input Impedance 1 kΩ Microphone Preamp Maximum Input Level +9 dBu ± 1.0 dB (Unity Gain) Microphone Preamp Signal To Noise Ratio 94 dB (+4 dBu) Microphone Preamp Total Harmonic Distortion Media Storage Capacity SD Card: 2 GB; SDHC Card: 32 GB Product Depth 15.56" (397 mm) Product Height 3.5” (90 mm) Product Width 15" (381mm) Recommended Ambient Operating Temperature 0˚ to 40˚ Celsius / 32˚ to 104˚ Fahrenheit Recording File Format Stereo WAV Supported Media Format FAT16 Formatted SD™ Card, FAT32 Formatted SDHC™ Card Supported Sample Rates 44.1, 48, 88.2, 96 kHz Headphone Outputs Dynamic Range >103 dB (A-Weighted) Headphone Outputs Frequency Response 20 Hz to 20 kHz, +0.5/-1.5 dB Headphone Outputs Maximum Output 150 mW /Channel at 60 Ω Headphone Outputs Total Harmonic Distortion Line Outputs Connection Type 1/4" TRS, Balanced Line Outputs Maximum. XML DB GitHub Repo. Try out the XML DB code samples on our new GitHub repository. XML DB GitHub Repository; XML DB Sample Code Library. The XML DB Sample Code Library Bookmark This Page Here are links to the sample db's, tutorials, and some useful white papers. A97 Samples ACC97: Microsoft Access 97 Sample Reports Available in

sakila-sample-database-ports/ms-access-sakila-db/access-sakila.mdb

Unweighted, 22 kHz BW Type IV Dynamic Range 129 dB with transient material, A-weighted, 22 kHz BW; 126 dB with transient material, unweighted, 22 kHz BW; 121 dB typical with program material, A-weighted, 22 kHz BW D/A Converter 24-bit D/A Dynamic Range 116 dB A-weighted, 113 dB unweighted, 22 kHz BW Internal Processing Wordlength 32-bit floating point Supported Sample Rates 48/96 kHz (32-192 kHz using sample rate conversion) System Performance Dynamic Range 114 dB A-weighted; 110 dB unweighted THD+Noise 0.0025% typical at +4 dBu, 1 kHz, 0 dB input gain Frequency Response 20 Hz – 20 kHz, +0 /- 0.5 dB Interchannel Crosstalk Latency Analog input to output: 2.57 ms (48 kHz), 2.28 ms (96 kHz); Digital AES input to output: 2.31 (48 kHz), 2.15 ms (96 kHz) Operating Voltage 100-240 VAC 50/60 Hz Power Consumption 18 W Unit Weight 5.48 lbs. (2.49 kg) Shipping Weight 7.10 lbs. (3.22 kg) Dimensions 1.75” (H) x 8.0” (D) x 19” (W), 4.4cm (H) x 20.32cm (D) x 48.26cm (W)

Sample DB like Northwind that is intuitive - Access World Forums

Resulting parametric query can be cached and reused, whichreduces compilation costs. For more information, seeUse query parameters to speed up frequently executed queries.Here is an example of using a parameter in the WHERE clause toquery records containing a specific value for LastName. Here's how to issue the query with a parameter and access the data:dotnet run queryWithParameter $env:GOOGLE_PROJECT_ID test-instance example-dbYou should see the following result:SingerId : 12 FirstName : Melissa LastName : GarciaUpdate the database schemaAssume you need to add a new column called MarketingBudget to the Albumstable. Adding a new column to an existing table requires an update to yourdatabase schema. Spanner supports schema updates to a database while thedatabase continues to serve traffic. Schema updates don't require taking thedatabase offline and they don't lock entire tables or columns; you can continuewriting data to the database during the schema update. Read more about supportedschema updates and schema change performance inMake schema updates.Add a columnYou can add a column on the command line using the Google Cloud CLI orprogrammatically usingthe Spanner client library for C#.On the command lineUse the following ALTER TABLE command toadd the new column to the table: GoogleSQL gcloud spanner databases ddl update example-db --instance=test-instance ` --ddl='ALTER TABLE Albums ADD COLUMN MarketingBudget INT64' PostgreSQL gcloud spanner databases ddl update example-db --instance=test-instance ` --ddl='ALTER TABLE Albums ADD COLUMN MarketingBudget BIGINT'You should see:Schema updating...done.Use the Spanner client library for C#Use CreateDdlCommand()to modify the schema: Run the sample using the addColumn command.dotnet run addColumn $env:GOOGLE_PROJECT_ID test-instance example-dbYou should see:Added the MarketingBudget column.Write data to the new columnThe following code writes data to the new column. It sets MarketingBudget to100000 for the row keyed by Albums(1, 1) and to 500000 for the row keyedby Albums(2, 2). Run the sample using the writeDataToNewColumn command.dotnet run writeDataToNewColumn $env:GOOGLE_PROJECT_ID test-instance example-dbYou should see:Updated data.You can also execute a SQL query to fetch the values that you just wrote.Here's the code to execute the query: To execute this query, run the sample using the queryNewColumn argument.dotnet run queryNewColumn $env:GOOGLE_PROJECT_ID test-instance example-dbYou should see:SingerId : 1 AlbumId : 1 MarketingBudget : 100000SingerId : 1 AlbumId :. XML DB GitHub Repo. Try out the XML DB code samples on our new GitHub repository. XML DB GitHub Repository; XML DB Sample Code Library. The XML DB Sample Code Library

Access Db Migration Loops Samples Sounds Free Downloads

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Quickstart: Create a search index in the Azure portal Article03/04/2025 In this article -->In this quickstart, you create your first Azure AI Search index using the Import data wizard and a built-in sample of fictitious hotel data hosted by Microsoft. The wizard requires no code to create an index, helping you write interesting queries within minutes.The wizard creates multiple objects on your search service, including a searchable index, an indexer, and a data source connection for automated data retrieval. At the end of this quickstart, we review each object.NoteThe Import data wizard includes options for OCR, text translation, and other AI enrichments that aren't covered in this quickstart. For a similar walkthrough that focuses on applied AI, see Quickstart: Create a skillset in the Azure portal.PrerequisitesAn Azure account with an active subscription. Create an account for free.An Azure AI Search service. Create a service or find an existing service in your current subscription. You can use a free service for this quickstart.Familiarity with the wizard. See Import data wizards in the Azure portal for details.Check for network accessFor this quickstart, which uses built-in sample data, make sure your search service doesn't have network access controls. The Azure portal controller uses a public endpoint to retrieve data and metadata from the Microsoft-hosted data source. For more information, see Secure connections in the import wizards.Check for spaceMany customers start with a free search service, which is limited to three indexes, three indexers, and three data sources. This quickstart creates one of each, so before you begin, make sure you have room for extra objects.On the Overview tab, select Usage to see how many indexes, indexers, and data sources you currently have.Start the wizardSign in to the Azure portal.Go to your search service.On the Overview tab, select Import data to start the wizard.Create and load a search indexIn this section, you create and load an index in four steps:Connect to a data sourceSkip configuration for cognitive skillsConfigure the indexConfigure and run the indexerConnect to a data sourceThe wizard creates a data source connection to sample data that Microsoft hosts on Azure Cosmos DB. The sample data is accessed through a public endpoint, so you don't need an Azure Cosmos DB account or source files for this step.To connect to the sample data:On Connect to your data, expand the Data Source dropdown list and select Samples.Select hotels-sample from the list of built-in samples.Select Next: Add cognitive skills (Optional) to continue.Skip configuration for cognitive skillsAlthough the wizard supports skillset creation and AI enrichment during indexing, cognitive skills are beyond the scope of this quickstart.To skip this step in the wizard:On Add cognitive skills, ignore the AI enrichment configuration options.Select Next: Customize target index to continue.Configure the indexThe wizard infers a schema for the hotels-sample index. To configure the index:Accept the system-generated values for the Index name (hotels-sample-index) and Key