Azure synapse data mart. However, The term Data Warehouse here means the database or repository where we store the star-schema-designed tables of dimension and fact tables for the BI model. Understand table distribution design. It is a set of multiple, well-integrated, Azure Data Services - Workspace, Dedicated SQL The Serverless SQL Pools service within Azure Synapse Analytics allows querying CSV, JSON and Parquet data in Azure Storage, Data Lake Gen1/2 and Cosmos DB. Integrate your existing data by creating and editing pipelines. This seamless data platform empowers organizations to invest more time creating value rather than integrating and managing their data estate. Below image shows the total data volume processed in Azure Synapse Analytics (top screenshot) and the successful refresh of the Power BI Datamart (bottom screenshot). Microsoft Azure Data Factory Introduction. Use read committed snapshot for data consistency. Jun 3, 2023 · Dataflows store data in an Azure Storage Gen2 data lake as the result of Power Query Online ETL processes. Sep 21, 2022 · 2. It provides a fast and scalable way to store and query data, similar to a data warehouse Feb 22, 2023 · Dedicated SQL pool (formerly SQL DW) represents a collection of analytic resources that are provisioned when using Synapse SQL. This white paper demonstrate how BimlFlex aligns with these best practices. Create statistics to improve query performance. In Azure Data Factory and Synapse pipelines, users can transform data from CDM entities in both model. May 15, 2024 · It enables an application to easily identify data that was inserted, updated, or deleted. You can easily create your workspaces using the Azure Deployment Template The SQL pool is able to eliminate some parts of the parquet files that will not contain data needed in the queries (file/column-segment pruning). Azure Data Factory or Synapse workspace: If you don't have one, follow the steps to create a data factory or create a Synapse workspace. Prepare, integrate, and enrich data from cloud and on-premises data sources to produce training data for use in machine learning model development and in retraining analytical models. I am thinking of using a metadata table with a "HashID" which is an auto generated number and a HashID column is added to ALL tables in the synapse pool, and hash on this ID Jan 5, 2024 · Azure Data Factory and Synapse pipelines support three ways to load data into Azure Synapse Analytics. It will be built from the data that exists in your data lake. Enterprises want to optimize the cost performance and use the best-of-breed services when migrating to the cloud. If you have low privileged users that do not have Synapse Administrator role, you would need to give them an explicit permission to reference these database scoped credentials: Jul 15, 2020 · Azure Synapse Analytics comes with tabular data stream (TDS) endpoint for SQL on-Demand, meaning you can run SQL queries as if you were talking to any SQL Server or Azure SQL Database. Enter the fully qualified server name, and enter LoaderRC60 as the Login. Build your data analytics skills. Due to its open, scalable architecture, a data lake can accommodate all types of data from any source, from May 15, 2024 · Prerequisites. Azure Synapse is an integrated analytics service that accelerates time to insight, across data warehouses and big data analytics systems. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. IR does not need to be a Data Warehouse. After completing this learning path, you'll be prepared for the Azure Data Engineering certification. To learn how the copy activity maps the source schema and data type to the sink, see Schema and data type mappings. Mar 14, 2023 · Proven technology at petabyte scale - Data Explorer is a distributed system with compute resources and storage that can scale independently, enabling analytics on gigabytes or petabytes of data. Minimizing the size of data types This is my 12th YouTube video for Data Community to share my programming experience with azure synapse analytics. A data mart is a subset of the data warehouse and is usually oriented to a specific business line or department. In your Azure Synapse Anaytics Workspace, go to Integrate hub and select Copy Data tool by clicking on + sign. Azure Synapse Link. These tables can be small or big. SAP BW Open Hub Destination (OHD) with destination type "Database Table": To create an OHD or to check that your OHD is configured correctly for integration with the service, see the SAP BW Open Hub Destination configurations section of this Aug 11, 2022 · If your migration strategy is based on migrating data marts first, then the order of data mart migration will affect which reports and dashboards are migrated first. It is not the same as the Power BI datamart. By contrast, a dedicated SQL pool runs the entire data warehouse workload within one database. You can monitor current and historical activities for SQL, Apache Spark, pipelines and triggers, and integration runtimes. Nov 4, 2021 · 1. Select a link to provide feedback: Provide product feedback. The lake database in Azure Synapse Analytics enables customers to bring together database design, meta information about the data that is stored and a possibility to describe how and where the data should be stored. Integrated - Azure Synapse Analytics provides interoperability across data between Data Explorer, Apache Spark, and SQL engines empowering data Jan 18, 2024 · The data virtualization feature of Azure SQL Managed Instance allows you to execute Transact-SQL (T-SQL) queries on files storing data in common data formats in Azure Data Lake Storage Gen2 or Azure Blob Storage, and combine it with locally stored relational data using joins. Data Hub is open. Synapse RBAC roles are documented here. Jan 5, 2024 · Synapse Analytics. If you use other collations, all data from the parquet files will be loaded into Synapse SQL and the filtering is happening within the SQL process. It helps make big and small data easier for humans to understand. Credit: Microsoft Azure. For more information, see Azure Synapse Analytics architecture. Storage Account Access. It can also use self-hosted IR for moving data for data lake and warehouse endpoints inside Azure Virtual Network (VNet) or behind a firewall. Synapse Notebooks are a great way to interact with data in the workspace. Feb 10, 2024 · Connecting Power BI to Azure Synapse Analytics: In Power BI Desktop, select “Get Data” > “Azure” > “Azure Synapse Analytics”. json and manifest form stored in Azure Data Lake Store Gen2 (ADLS Gen2) using mapping data flows. net. Delta Lake provides several advantages, for example: It provides ACID properties of transactions, i. Optimize common queries with result-set caching. g. Dec 14, 2020 · Using Sample Data From Azure Synapse Knowledge Center. See the new features. For more information, see our contributor guide . To accomplish EDA: T-SQL queries run directly in Azure Synapse SQL serverless or Azure Synapse Spark. Jan 5, 2024 · When you copy data from and to SQL Server, the following mappings are used from SQL Server data types to Azure Data Factory interim data types. Reporting, BI, and other analytics applications access LDW data and views by using the Azure Synapse workspace Bring all of your data together, via Azure Data Lake (ADLS) Gen-2, with an Azure Synapse data warehouse that scales easily. Reference for Azure Synapse Analytics SDK for Python. Mar 13, 2023 · Need different data distribution strategy for faster query performance. May 10, 2021 · In this course, Building Your First Data Lakehouse Using Azure Synapse Analytics, you'll learn to use Azure Synapse Analytics. May 23, 2023 · May 23, 2023. Optimize your data warehouse workloads for BI and reporting. To create a dataset with the Azure Data Factory Studio, select the Author tab (with the pencil icon), and then the plus sign icon, to choose Dataset. One of the biggest areas of confusion in documentation between “dedicated SQL pool (formerly SQL DW)” and “Synapse Analytics” dedicated SQL pools is PowerShell. It blocks all connection attempts coming from the public internet. Take the 30-day Azure Synapse skills challenge. Real-time queries, combined with the May 24, 2022 · Today, we unveiled the new Microsoft Intelligent Data Platform, the leading cloud data platform that fully integrates databases, analytics, and governance. 0 and Azure Synapse. Land the data into Azure Blob storage or Azure Data Lake Store. Create a Data Explorer pool. Mar 24, 2022 · Azure SQL DB is well suited for the OLTP workloads and Azure Synapse for OLAP. Repeat this for each of our source files (Product, ProductModel & ProductCategory). The syntax and some of the functions for these table types aren't directly supported in Azure Synapse. Data visualization is a key component in being able to gain insight into your data. , atomicity, consistency, isolation, and durability of the table data. The size of a dedicated SQL pool (formerly SQL DW) is determined by Data Warehousing Units (DWU). Jan 21, 2020 · Data warehouses are central repositories of integrated data from one or more disparate sources. Inside the Synapse workspace, choose the Data option from the left menu to open the Data Hub. Synapse SQL is a distributed query system that enables enterprises to implement data warehousing and data virtualization scenarios using standard T-SQL experiences familiar to data engineers. The Connect to Server dialog box appears. Enter your password for LoaderRC60. If one of these products is already in use in the existing Teradata environment, then using the existing ETL tool may simplify data migration from Teradata to Azure Synapse. Azure Synapse SQL serverless is used as the compute engine over the data lake files. Some important aspects in the solution is how to take advantage of dynamic content in Azure Data Factoty, creating a clean end-to-end solution. This specific scenario is based on a sales and marketing solution, but the design patterns are relevant for many industries requiring advanced analytics of large datasets such as e-commerce Sep 3, 2021 · This article will teach you a simple approach to creating analytical data marts by exporting, transforming, and copying data from Azure API for FHIR to Azure Synapse Analytics, which is a limitless analytics service designed for data warehousing and big data workloads. It assumes the reader has some knowledge of the Data Vault 2. Oct 7, 2021 · The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory and Azure Synapse pipelines, an activity defines the action to be performed. Azure Synapse brings these worlds together with a unified experience May 16, 2022 · Data landing zones are connected to your data management landing zone by virtual network (VNet) peering. Azure data warehouse is a distributed and massively parallel processing (MPP) system. STEP 6 - Analyze data in a storage account. csv file. Azure Data Factory and Synapse pipelines can reach broader set of data stores than the list mentioned above. Azure Synapse Analytics (formerly SQL Data Warehouse) with DirectQuery allows you to create dynamic reports based on data and metrics you already have in Azure Synapse Analytics. However, you can migrate the data into a standard table in Azure Synapse by mapping to appropriate data types and indexing or partitioning the date/time column. with Synapse dedicated SQL-Pools For EDA, you're concerned only with the right side of the diagram. Datamarts and deployment Nov 24, 2021 · Deploying synapse workspace. The connection requires the following parameters: If you would like to use serverless SQL pool the URL should look like: <Azure Synapse workspace name> -ondemand. Microsoft published a white paper on practices for deploying a Data Vault solution on an Azure Synapse platform. You can also sink data in CDM format using CDM entity references that will land your data in CSV or Parquet format in partitioned folders. Have you heard about Azure Synapse Analytics! Is your data in Synapse? It's so much more than SQL Server! Adam and Patrick look at why you should care about In this article. e. Synapse Analytics monitoring options. A staging area where data is cleaned and transformed for the warehouse or centralized repository. Synapse Analytics is an integrated platform service from Microsoft Azure that combines the capabilities of data warehousing, data integrations, ETL pipelines, analytics tools & services, the scale for big-data capabilities, visualization & dashboards. Mar 19, 2021 · In order to create our logical Dim Product view, we first need to create a view on top of our data files, and then join them together –. To land the data in Azure storage, you can move it to Azure Blob storage or Azure Data Lake Store. This approach assumes that the ETL tool supports Azure Synapse as a target environment. Aug 25, 2022 · PowerShell Differences. . With DirectQuery, queries are sent back to your Azure Synapse Analytics in real time as you explore the data. If your business requires an enterprise-class data warehouse, the benefits are worth the effort. A warehouse or centralized repository which stores processed operational data, metadata, summary data, and raw data for easy user access. We will use Azure Synapse Analytics Integrate hub to create integration pipeline for copying data from on-premises SQL Data Warehouse to the Dedicated SQL pool. The workflow for this approach is depicted in the following diagram: For step-by-step instructions, see the following tutorial: Incrementally copy data from Azure SQL Database to Azure Blob storage by using Change Tracking technology; Loading new and Mar 21, 2024 · Use dedicated SQL pool restore points to recover or copy your data warehouse to a previous state in the primary region. Data Mart: this is a subject area sourced from your data warehouse. Jun 30, 2023 · The artifacts provided by the Data Vault 2. Learn the basics of Azure Synapse Analytics and see how to get started with 30 days of videos, tutorials, and training modules. The benefits of taking this approach to designing a semantic model are: Integrated tooling - Database Templates are integrated into Azure Synapse Analytics removing the risk that the design and implementation will diverge Overview Ratings + reviews. Below is an example for the vProduct view of the Product. Apr 12, 2023 · Azure Synapse Analytics is a distributed system designed to perform analytics on large data. You can get up to 28% savings over pay-as-you-go prices when you pre-purchase Azure Synapse Analytics Commit Units (SCUs), to be used on any publicly available product under Azure Synapse except storage over the subsequent 12 months. The data can then be processed and used as a basis for a variety of analytic needs. Use serverless SQL pools to analyze and explore data directly in the data lake. Each data landing zone is considered a landing zone related to Azure landing zone architecture. Once your dedicated SQL pool is created, you can import big data with simple PolyBase T-SQL queries, and then use the Dec 8, 2022 · Delta lake is an open-source storage layer (a sub project of The Linux foundation) that sits in Data Lake when you are using it within Spark pool of Azure Synapse Analytics. Prepare, integrate, and enrich data from cloud and on-premises data sources to populate your migrated data warehouse and data marts on Microsoft Azure Synapse. This might be a logical definition (e. Mar 3, 2023 · In this article. The plus button to add new artifacts is selected. Feb 13, 2023 · The source for this content can be found on GitHub, where you can also create and review issues and pull requests. In either location, the data should be stored in text files. You can complete your Business Intelligence (to Artificial Intelligence (AI Generate Dedicated SQL Pool database- and Azure Data Factory (ADF) objects based on the meta data of your data source(s) for Azure Synapse Analytics. Note. Your Azure Synapse usage will draw from your pre-purchased SCUs at the individual product's Nov 7, 2022 · This example scenario demonstrates a data pipeline that integrates large amounts of data from multiple sources into a unified analytics platform in Azure. Nov 7, 2019 · On November fourth, we announced Azure Synapse Analytics, the next evolution of Azure SQL Data Warehouse. Figure 3 – Azure Synapse Analytics Jul 27, 2022 · As an example, a traditional SQL Server data warehouse might include a staging database, a data warehouse database, and some data mart databases. 1 – Create a view on our source files. This means your existing code, whether a thousand or million lines of code, will be Nov 28, 2022 · STEP 1 - Create and setup a Synapse workspace. Improve query performance with Materialized Views. Our first step will be to get access to the data we need. STEP 7 - Orchestrate with pipelines. However, this doesn’t mean that Azure Synapse is always required for Data warehouse purposes. It is a totally new product that brings together data integration, enterprise data warehousing, and big data analytics together. Azure Synapse Analytics. Run operational and predictive analytics using cloud-based machine learning services. This way you can transparently access external data (in read-only In this module, you'll: Understand performance issues related to tables. It's protected by firewall rules and virtual networks. 3+ years experience of Microsoft Azure Data Technologies; 3+ years experience of Modeling of raw- and business data vaults; 3+ years experience of Design of data warehouses and data marts; Orchestration of data processing and pipelining; Technologies. The addition of data marts, which takes data from the centralized repository and serves it in subsets to May 25, 2022 · Some will use the term data warehouse for scenarios of huge databases that need to scale with technologies such as Azure Synapse. Feb 27, 2023 · The first step toward loading data is to login as LoaderRC60. By using the business logic from the Business Vault, data scientists can leverage code that already exists, thus increasing the re Jul 19, 2022 · In the second part of this series, Azure Synapse Analytics Product Manager Ryan Majidimehr is joined by Pawel Potasinski, a Senior Program Manager on the Azu For a list of the supported data types, see data types in the CREATE TABLE statement. Doing so gives you nice and affordable snapshots which Aug 11, 2022 · SSMA supports Azure Synapse as a target environment. the Sales mart is the Sales fact table and related Nov 22, 2023 · A data mart is designed to serve the needs of a particular group of users who want to perform analysis and reporting on that subject. Use indexes to improve query performance. A linked service defines a target May 21, 2024 · Scenario 1. Use COPY statement; Use PolyBase; Use bulk insert; The fastest and most scalable way to load data is through the COPY statement or the PolyBase. This guide provides a roadmap for leveraging Azure’s data services to build a comprehensive data engineering Sep 15, 2020 · Data Warehouse: this is your Kimball model of all your fact and dimension tables (plus other tables such as bridges). Susan, a professional developer, is new to Microsoft Fabric. You must be granted one of the following roles for the storage account: Storage Blob Data Reader, Storage Blob Data Contributor, or Storage Blob Data Owner. If you need to move data to/from a data store that is not in the service built-in connector list, here are some extensible options: For database and data warehouse, usually you can find a corresponding In this module, you'll: Understand performance issues related to tables. It’s important to understand Synapse Analytics hierarchy model as it has an implication on scale and domain access control within data mesh architecture. There is a shared PowerShell module called Az. For Synapse SQL Serverless please refer to article Query storage files with serverless SQL pool in Azure Synapse Analytics and How to use OPENROWSET using serverless SQL pool in Azure Synapse Analytics. net and sign in to your workspace. Azure Synapse Link for Azure Cosmos DB queries real-time transactional data through the Azure Synapse serverless SQL pools. It gives you the freedom to query data on your terms, using either serverless or dedicated resources-at scale. Azure Synapse Analytics enables you to use T-SQL (Transact-SQL) and Spark languages to implement a Lakehouse pattern and access your data in the lake. Here my objective is to show how to use a Migrating the data using integration capabilities of Azure Synapse. This DataMart is build using Azure Data Factory for ELT/ETL and Azure Synapse as database. Migrating to Azure Synapse Analytics requires some design changes that aren't difficult to understand but that might take some time to implement. Synapse pipelines, which implement Data Factory, use the same mappings. Provision an Azure Synapse Analytics workspace in your Azure subscription. To copy data to Azure Synapse Analytics, set the sink type in Copy Activity to SqlDWSink. Mar 20, 2023 · This article contains recommendations for designing hash-distributed and round-robin distributed tables in dedicated SQL pools. sql. In Object Explorer, click the Connect drop down menu and select Database Engine. While be Aug 11, 2022 · If your migration strategy is based on migrating data marts first, then the order of data mart migration will affect which reports and dashboards are migrated first. Microsoft Azure Synapse Analytics Logical Architecture. Azure SDK for Python is an open source project. May 25, 2021 · Also, Synapse SQL Dedicated Pool can directly query data sitting in Azure Storage as External Tables though the performance of query is expected to be much slower in comparison to managed tables In this article. Go to https://web. Click here for instructions. Feb 21, 2021 · Introduction. Use data warehouse geo-redundant backups to restore to a different geographical region. Jul 15, 2020 · Azure Synapse Analytics comes with tabular data stream (TDS) endpoint for SQL on-Demand, meaning you can run SQL queries as if you were talking to any SQL Server or Azure SQL Database. The Synapse Datamart is a new feature that allows you to create a data mart in Azure Synapse Analytics using the SQL pool. Oct 21, 2022 · We turn to the new Database Templates within Azure Synapse analytics complete this task. Sql. Prerequisites. 1. STEP 3 - Analyze using a Data Explorer pool. Nov 7, 2022 · This example scenario demonstrates a data pipeline that integrates large amounts of data from multiple sources into a unified analytics platform in Azure. May 19, 2022 · IT Leadership needs to build SADD Data Mart, Data Warehouse, or Data Lakehouse so the IR team can become an ADD Data Mart or Data Lakehouse. It brings together the best of SQL technologies used in enterprise data warehousing, Apache Spark technologies for big data, and Azure Data Explorer for log and time series analytics. PolyBase can load from either location. Wrapping Up. The original SQL DW implementation leverages a logical server that is the same as Azure SQL DB uses. Tools and services you can use to move data to Azure Storage: May 15, 2024 · Azure Data Factory uses Azure integration runtime (IR) to move data between publicly accessible data lake and warehouse endpoints. They are ready to get started cleaning, modeling, and analyzing data but need to decide to build a data warehouse or a lakehouse. The following tables show some of the options a Source-aligned Domain Data (SADD) team can use to provide Data Products, and what an Aggregate Domain Data (ADD Azure Synapse Analytics is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems. But first, let's define data lake as a term. Azure Data Factory has enterprise-grade security: You can use Windows Mar 28, 2023 · Any user with the Synapse Administrator role can use these credentials to access Azure Data Lake storage or Azure Cosmos DB analytical storage. Queries run from a graphical query tool like Power BI or Azure Data Studio. However, in my test runs, I managed to load 163GB of data. 0 architecture can be used to augment data flows with additional raw data easily available from the data analytics platform or results from the business logic available. SSMA for Oracle can help you migrate an Oracle data warehouse or data mart to Azure Synapse. A data mart can be created by extracting, transforming, and Feb 14, 2022 · This guide assumes that you have already exported data from Dataverse by using the Azure Synapse Link for Dataverse. SSMA is designed to automate the process of migrating tables, views, and data from an existing Oracle environment. The arrival of data in the data lake triggers the Azure Synapse pipeline, or a timed trigger runs a data processing job. With Azure Synapse Pathway the source database objects are automatically converted and optimized to T-SQL code on Azure Synapse Analytics. This article assumes you are familiar with data distribution and data movement concepts in dedicated SQL pool. After review of the details in the previous table, the primary decision points are the available skill set and the need for multi-table Mar 16, 2023 · Now that we have successfully linked to Azure Key Vault we can begin data ingestion, leveraging the Notebooks in synapse to load the data into the storage account. Azure Data Lake Storage Gen2; Azure Synapse Analytics e. . A multicloud split stack data analytics pipeline meets the enterprise’s needs by directly connecting Azure Synapse Analytics to Sep 13, 2022 · I would expect this limitation to be lifted before Datamarts will become general available. Important. Oct 12, 2023 · To connect to Synapse SQL, open Azure Data Studio and select New Connection. STEP 4 - Analyze using Apache Spark. Move your on-premises SQL data mart to Azure Synapse. Minimize row length. That data lake is effectively a collection of CSV files in folders, but it is a black box unless you elect the Bring Your Own Storage option (which works well but is a pain to set up). The final stage is a Power BI report reading the information from Synapse database. If your strategy is based on business value, the order in which you migrate data marts to Azure Synapse will reflect business priorities. Not all features of the dedicated SQL pool in Azure Synapse workspaces apply to dedicated SQL pool (formerly SQL DW), and vice versa. Ensure you have Synapse Administrator role to your workspace. Orchestrate and ingest data via Azure Data Factory (ADF) pipelines, optionally enhanced with Azure Databricks, for advanced scalable curation. 2. Choose Microsoft SQL Server as the Connection type. The Latin1_General_100_BIN2_UTF8 collation has Jan 10, 2024 · Integrate with more data stores. The first step that you need to take is to create a Synapse Analytics workspace service. It's therefore possible to use a standard Copy Activity in the same way as you would were you to copy data from a Azure SQL Database . Build operational reports and analytical dashboards to derive insights from the data. You’ll see the new dataset window to choose any of the connectors available in Azure Data Factory, to set up an existing or new linked service. In this topology, each database operates as a workload and security boundary in the architecture. Furthering our mission of integration, Azure Jul 17, 2022 · The task of data transformation and movement is the basic function of all ETL products. Ingesting the data - Synapse Notebooks, Spark, and Azure Data Lake Storage Gen2. Figure 3 below shows key components of a workspace and their relationship with each other. Lake database addresses the challenge of today's data lakes where it is hard to understand how data is structured. You can collect and analyze metrics and logs for Azure Synapse Analytics built-in and serverless SQL pools, dedicated SQL pools, Azure Spark pools, and Data Explorer pools (preview). A data lake is a centralized repository that ingests and stores large volumes of data in its original form. STEP 5 - Analyze using a dedicated SQL pool. Aug 17, 2022 · Teradata supports special table types for time-series and temporal data. This specific scenario is based on a sales and marketing solution, but the design patterns are relevant for many industries requiring advanced analytics of large datasets such as e-commerce Feb 22, 2023 · Yes, the term "Synapse Datamart" refers to a specific feature in Azure Synapse Analytics. Mar 2, 2021 · An assessment report captures further details on the database objects that can be translated into Azure Synapse Analytics. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. STEP 2 - Analyze using a serverless SQL pool. Azure Synapse is a limitless analytics service that brings together data integration, enterprise data warehousing, and Big Data analytics. Provide the necessary connection details and select the data you wish to visualize. It eases the analysis and reporting processes of an organization and helps the business make better decisions with clearer forecasts. Before provisioning a data landing zone, make sure your DevOps and CI/CD operating model is in place and a data management landing Azure Data Lake stores the raw data that's obtained from different sources. This data joins with cold batch and hot streaming data from the enterprise data lake to create logical views. Analytics คือ ชุดเครื่องมือใหม่จาก Microsoft ที่ช่วยให้เราทำ Analytics ได้เร็วขึ้น และ เป็นแบบ real time และ ซึ่งรวมชุดเครื่องมือที่รองรับ Nov 3, 2022 · Strategies for building data products using Azure Synapse. azuresynapse. A cloud deployment is a reflection of the enterprises’ heterogeneous IT environment. Browser Gallery from the list of linked data source options is highlighted. lm rv qr yn lx bf op vm xm ke