Data source

In the Ultra Transcenders books

2V0-13.25

Each book explains Data source in context, with comparison tables and the common traps.

Terms in this definition

• VCF Operations for networks

  Add-on that gives VCF insight into its networks: platform and collector appliances work together to examine micro-segmentation, flows, paths and network assurance.

• VCF Operations

  VCF's console for running the fleet. It covers alerting, monitoring, capacity, reporting, log analysis and licensing alongside fleet management of identity, passwords, certificates and lifecycle.

• Veeam Infrastructure Appliance

  A hardened, minimal Linux (JeOS) ISO for running backup proxies, repositories and hardened repositories. It connects to a backup server but does not host one.

• Integration

  Dashboards, reports and alerts can arrive with these VCF Operations adapter packages, whose main job is to connect the product to a data source like vCenter, vSAN or NSX. A few are active by default; the rest have to be installed or activated.

• Physical

  Describes the concrete, real-world parts that put a logical architecture into effect.

• NSX Manager

  Runs NSX's management and control planes. Through its interface or API, admins create segments, VPCs and transit gateways and steer traffic; one copy may belong to a single VCF domain or be shared.

• vCenter

  Management software for VMs, clusters and ESX hosts. Each domain in VCF gets a dedicated one.

• Flow

  The unit of work inside a Lakeflow pipeline that takes data from a source, transforms it and lands it in a destination like a streaming table. Streaming flows either append or update, and CREATE FLOW lets you declare a flow apart from the table it feeds.

Related terms

• binaryFile

  A Spark data source that reads every file as a single record containing its metadata and raw bytes. Images, audio and PDFs are typical uses.

• Calculated table

  Instead of coming from a data source, this kind of model table is defined by a DAX formula. It's always held in Import mode and recomputed on each refresh, which makes it handy for staging intermediate results or duplicating a table for role-playing.

• Indexer

  The pull-model crawler in Azure AI Search that takes data from a single data source, can apply a skillset and loads the output into a single index. It runs on demand or on a schedule, at most every five minutes.

• Parallel indexing

  Runs several indexers at once, one per partition of the content (a container or virtual folder), each with a dedicated data source but sharing one skillset and target index. Concurrency is capped at about one indexer job per search unit.

• Power BI template

  A .pbit file containing pages, model definition and queries from a report, with no data, to start new reports from. When someone opens it, they are asked for parameter values and data source sign-in details.

• Search data source

  Connection object in Azure AI Search pointing an indexer at its content, which must be a supported source: Blob, ADLS Gen2, Table Storage, Cosmos DB, Azure SQL, SQL Managed Instance or SQL Server on Azure VMs. One indexer, one data source.

• Security Copilot plugin

  Lets Security Copilot reach a data source, whether Microsoft, third-party or custom. Users still need their own permissions on that source for it to return anything.

• Take over

  Only an owner can set up scheduled refresh, data source credentials and automatic aggregations for a semantic model. This action, in the model's settings in the service, transfers ownership to whoever selects it.