Glossary

An authentication token that SnapLogic uses to access an API.

An asset containing the credentials, connection parameters, and configuration necessary to connect to a data source or destination. The AutoSync equivalent of Account assets are credentials. In the IIP, you can create Account assets in Designer, Manager, or AutoSync Manager.

An interface for administrators who manage an environment.

The API consumer user is a user that may or may not have a SnapLogic account, but is primarily interested in consuming APIs that are managed through the SnapLogic API Gateway. These users interface with the Developer Portal.

A tool in SnapLogic Manager that provides information on the API limits for your Org and API usage reports.

Any resource that can be created by a SnapLogic user and is tracked in SnapLogic Manager. accounts, files, tasks, pipelines, Snap Packs, Snaplexes, and tables qualify as assets. In Manager, you can search for assets and, depending on the type, view the details, statistics, or activity logs.

A feature that simplifies data mapping by suggesting Input Schema mapping to the Target Schema in the Mapper Snap.

Cleans up the AutoLink history.

A group created by an Org admin in AutoSync Manager in the IIP or by an Environment admin in Admin Manager. Members of the group can share data pipelines, endpoint credentials, and Account assets.

A file that contains data in binary format and a header that contains the metadata for the binary content. For example, a file with JSON data might have a header with a content-type field set to application/json.

The area in SnapLogic Designer where you can design, render, validate, and execute integration Pipelines.

Data points that represent characteristics, groups, or categories. The data may be numeric. For example, Gender and Marital Status.

CC user is a SnapLogic system user, such as cc+org_name@snaplogic.com, which is automatically created for use by Snaplex instances for registering with the SnapLogic control plane.

A Snaplex that runs inside the SnapLogic Cloud. A Cloudplex is managed by SnapLogic.

Applicable to SnapLogic Data Science, clustering involves grouping a set of objects in a way that objects in a group are more similar to each other than objects in other groups.

The back-end management mechanism for the SnapLogic IIP. The Control Plane runs on the cloud as a multi-tenant service, stores Pipeline definitions and metadata information, while also managing triggered and scheduled Pipeline executions.

In AutoSync, the information necessary to connect to an endpoint. In addition to a user name and password, this can include values such as a hostname and port number.

A collection of relational tables that stores database metadata and allows you to query and update attributes in the relational tables in the SnapLogic platform.

A new service within the SnapLogic Dashboard as a separate subtab that enables you to visualize the relationship between your Pipelines and their data sources. When you fetch the data lineage for a target data type, the Data Lineage displays the data sources to which a Pipeline connects as a diagram.

An AutoSync asset that loads and synchronizes data from a source to a destination, for example, a Cloud Data Warehouse (CDW). Create and view AutoSync data pipelines from the Monitor Data pipelines page.

The data processing engine of the SnapLogic IIP. The Data Plane that runs in the SnapLogic Cloud or in a customer data center (if on-premises), executes the Pipelines and monitors the JCC nodes that handle the Pipeline executions.

A sample display of the data passing through the Pipeline per Snap in two views: tabular and visual. You can access the Data Preview by clicking on the connector for a Snap that shows a text-like icon in the circular connector.

A feature of Data Preview in Pipelines that enables you to view your data in a variety of charts. You can generate pie, line, bar, and scatter charts from the given data.

A Snap that neither executes or validates. You can use disabled Snaps when building and testing Pipelines. In a Pipeline, all Snaps downstream from a Disabled Snap do not execute or validate.

The succeeding Snap of any given Snap in a Pipeline. The input of the downstream Snap is the output of the given Snap.

A secure tenant provisioned by SnapLogic and used by a customer to transform and integrate data. Customers can have multiple environments for different stages of development, such as testing and production. Environment admins control environment settings and manage users, roles, and groups. Previously called an Org.

Environment admins control settings and manage users, roles, and groups for a specific environment. Also called an Org admin

A Pipeline execution operation that executes the Pipeline completely. This mode of execution impacts databases and/or endpoints.

Applicable to SnapLogic Data Science, Feature is a measurement of the data point. For example, height, width, mean, mode.

The FeedMaster is the interface between the JCC node that executes Ultra Pipelines and the clients used for Ultra Pipelines. It is a Java Virtual Machine (JVM) installed on a Linux or a Windows server. Learn how to deploy a FeedMaster Node.

A collection of private Snap Packs built by SnapLogic to meet specific use cases of customers. Field Snap Packs might not be visible in the Snap catalog, might not be documented, usually are not tested by QA, and are not supported/maintained by our Development team.

A Snaplex that runs behind a firewall, provides on-premises connectivity at a customer site, and is administered by the customer.

A tab in SnapLogic Dashboard that lets you monitor the health of your Snaplex instances and Pipelines.

The SnapLogic Intelligent Integration Platform. A secure, multi-tenant application for creating and deploying pipelines to transform and integrate data. The IIP includes Manager for use by administrators, Designer for use by pipeline developers, Dashboard for monitoring and troubleshooting, and APIM Manager for creating and publishing APIs.

The dialog of any Snap where you configure the Snap settings. Infoboxes typically have tabs for Settings, Views, Info, and Accounts associated with the concerned Snap.

A tab in SnapLogic Dashboard that displays view time series data and logs. The Insights tab also retrieves logs from the runtime database to generate user activity graphs.

A SnapLogic suggestion engine that recommends the most likely preceding and succeeding Snaps in a Pipeline. The recommendation is based on the usage of successor and predecessor Snaps and historical frequency.

(Java Component Container) The JCC node handles Pipeline executions and is on the Data Plane. A Snaplex can contain multiple JCC nodes.

Applicable to SnapLogic Data Science Snaps, k-fold Cross Validation is a statistical method used to estimate the performance of machine learning algorithms. The dataset is separated into k equal-sized chunks and the model is trained on k-1 chunks and evaluated on the last chunk. This process is repeated k-times so every data point has a chance to be in the test chunk once. For example, you could break the dataset into 10 chunks and train the model on nine of the ten chunks and evaluate the updated model on the tenth chunk. You could repeat this process ten times using each chunk until each data chunk has been used to evaluate–and train–the updated model.

A word or phrase that protects private key files from unauthorized users encrypting/decrypting the private keys.

A patch release of a Snap or Snap Pack, done on top of the prior GA release. For example, you might configure a Developer Org to always have the Latest Snaps to test new features. For a Production Org, you might choose Stable Snaps to ensure everything works as expected.

Applicable to Ultra Pipelines, the maximum number of documents that can be processed by an instance at a given time.

(Statistical Model) Applicable to SnapLogic Data Science Snaps, a model is a mathematical formula that has been generated by a machine learning algorithm based on the dataset. The model can be stored and used to give a prediction for the data in the future.

(Snaplex node) A virtual machine or a set of computing resources that process data. A Snaplex node can be:

• Cloudplex node
• Groundplex node
• JCC node
• FeedMaster node

A dataset whose data points represent mathematical values. For example, height, weight, age.

A URL that can be used to trigger a task to run on a Groundplex without making a request outside the local network.

A secure tenant provisioned by SnapLogic and used by a customer to transform and integrate data. Customers can have multiple environments for different stages of development, such as testing and production. An Org admin provisions users and manages groups, permissions, and other settings from the IIP Manager. The August 2023 release introduces Admin Manager, an updated interface available from the application menu. In Admin Manager, Orgs are called Environments and Org admins are called Environment admins.

(Organization Administrator) An administrator for an Org. In addition to Org settings, an Org admin manages users and groups and can create Project spaces projects. The August 2023 release introduces Admin Manager, an updated interface available from the application menu. In Admin Manager, Orgs are called Environments and Org admins are called Environment admins.

Similar to the on-premises URL, the Override URL can trigger a task to execute on a Groundplex. The Override URL ignores the Task's configured Snaplex and instead executes on the Snaplex that receives the request.

A reusable template for creating Pipelines, typically created to address common use cases. Patterns enable you to easily configure the properties of Snaps in the pattern.

Enables you to access all the SnapLogic Pattern Pipelines that are available to you. Pattern Pipelines are grouped by Project Spaces and Projects.

Applicable to SnapLogic Data Science, PCA is a dimension-reduction technique that can be used to reduce a large set of variables to a small set that still contains most of the information in the original set.

A chain of one or more Snaps linked together to orchestrate a data flow between endpoints.

Enables you to access all the Pipelines available to you. Pipelines are grouped by Project Spaces and Projects.

Enables Iris to suggest probable Pipelines based on the existing Pipelines from your Org to which you have access, Pattern Pipelines from the SnapLogic Cloud Pattern Catalog, and synthesized Pipelines.

A tab in SnapLogic Dashboard that displays Pipeline execution statistics and details.

A set of HTML file-based and cloud-based applications that are delivered as a multi-tenant cloud service. These applications allow you to design, manage, and monitor integrations.

Stores all SnapLogic Assets: Accounts, Files, Tasks, Pipelines, Snap Packs, Tables, Proxies, and Snaplexes.

An additional level above projects to help you better organize your Pipelines. Project Space consists of one or more projects and contains a shared project to maintain assets shared between the projects of that Project Space.

The task of finding records that refer to the same entity across different data sources. Record linkage is necessary when joining data from different sources, based on entities that may not share a common identifier (such as database key or URI).

A credential that SnapLogic uses to acquire new access tokens after the expiry of an existing access token. The lifetime of a refresh token is longer compared to the lifetime of an access token.

A Pipeline that has the capability to be suspended when an endpoint fails during the processing of its documents. You can troubleshoot the suspended Pipeline on the SnapLogic Dashboard and resume the Pipeline when the endpoint is up again.

A method to execute your Pipelines in a fixed schedule.

Schema drift occurs when the same data exists in more than one repository and changes are made to one and not the others. For example, data can be loaded from a source into a cloud data warehouse (CDW) for analysis. Changes made to the source schema, such as addition or removal of a column or a data type change, must be detected and managed to keep the data synchronized in the CDW.

An AutoLink feature that indicates the confidence level of a match. For example, a score of 5 stars is a match in which the model has high confidence.

An AutoLink feature that filters suggestions based on the score.

A numeric value that is used by the randomizer in identifying the set of a sampled or shuffled dataset in machine learning algorithms. Using the same seed value helps you generate the same sample or shuffling order.

An account to run Triggered Tasks with basic authentication. A Service account does not provide access to the SnapLogic user interface.

(SnapLogic DataBase Service) SnapLogic's internal storage implementation. A component of the SnapLogic Control Plane.

(SnapLogic File System) A sub-component of SLDB that allows you to upload and download files to and from SnapLogic IIP, such as when you use File Reader and File Writer Snaps in your Pipelines.

A file that contains the configuration details of a Snaplex node.

An object in the SnapLogic application that introspects the source and target and performs a single complete function, such as read, write, or act on data.

A logical grouping of Snaps based on functionality or an application endpoint.

The tab in SnapLogic Designer that contains the list of available Snaps and the version of the Snap Pack. The Snaps Catalog also enables you to search for Snaps.

The data processing engine of the SnapLogic Intelligent Integration Platform (IIP). A Snaplex can contain multiple nodes and can be a Cloudplex or a Groundplex.

A tab in SnapLogic Dashboard that lets you view Snaplex statistics.

An abstraction used to quantify the resource requirements/usage for a Pipeline. Each Snap in a Pipeline consumes a slot during execution and each slot is a running thread on a Snaplex node.

An extensive library of Pipeline patterns built and maintained by SnapLogic.

A self-service SnapLogic platform for end-to-end machine learning that offers a low-code approach to data acquisition, data exploration and preparation, and model training and validation.

Used in Snaps to manipulate data. In Standard mode, the expressions are based on a subset of JavaScript and act accordingly.

(Secure Network Communications) A proprietary security mechanism that SAP has developed to integrate SAP NetWeaver Single Sign-On or an external security product with SAP systems. With SNC, you receive application-level, end-to-end security. All communication that takes place between two SNC-protected components is secured (for example, between the SAP GUI for Windows and the application server). Learn more about Secure Network Communications (SNC) in the SAP Help Portal for more information.

A combination of one or more values, operators, and SQL functions that evaluate to a value.

The most stable set of Snaps as recommended by SnapLogic. Latest Snaps may or may not work properly immediately after a release. For example, for a Production Org, you might choose Stable Snaps to ensure everything works as expected. But you might configure a Developer Org to always have the Latest Snaps to test new features.

The default Pipeline type. All regular Snaps can be used in this Pipeline.

A machine learning sampling technique that results in the same number of data points from each group. For example, if we have 100 people from 10 countries, and we implement stratified sampling at 10%, the result will contain one person from each country.

SnapLogic Organization-level features that you can enable by contacting your SnapLogic representative. Some current subscription features are Native API Manager, Resumable Pipelines, and Ultra Pipeline Tasks.

Applicable to SnapLogic Data Science, it is the task of inferring a function from labeled training data. The training data consists of a set of training examples.

A Resumable Pipeline whose endpoint has failed or is offline.

A Pipeline that is generated using Pipeline metadata and existing Snaps on the Canvas. Iris provides synthesized Pipelines as a part of the list of suggested Pipelines provided by Pipeline Recommendation.

A type of Asset that you can create in Manager or through a Pipeline with the Catalog Insert Snap. You use this Asset to collect metadata and schema information about the source data being run through your Pipelines. You can modify this data by editing your Tables in Manager.

A method to execute your Pipelines through an HTTP request. You can also feed input data into a Pipeline and receive the output using an HTTP request.

Ultra mode enables a Pipeline to continuously consume documents from external sources. Typically, the Ultra Pipelines are used for tasks that are not compatible with triggered tasks or require low-latency processing of their inputs. By default, only one document is supported as input and output.

Applicable to SnapLogic Data Science, it is a technique in which you can draw inferences from datasets consisting of data without labeled responses.

The preceding Snap of any given Snap in a Pipeline. The output of the upstream Snap is the input of the given Snap.

A Pipeline execution operation that executes the Pipeline partially. In Read-type Snaps such as MySQL Select, a preview dataset is also generated. The maximum number of records in a preview dataset is 50. This mode of execution does not impact databases and/or endpoints but is useful in ensuring that a Pipeline is configured correctly.

Applicable to SnapLogic Data Science, variance indicates how spread out the data (numbers) is in a dataset. In simple terms, variance represents the distribution of data in a dataset.

Columns in a table whose values are generated based on a formula are virtual columns.

Applicable to SnapLogic Data Science, it is a sampling technique similar to Stratified Sampling, except that the ratio of data points per group is maintained.

The portion of SnapLogic Designer that consists of the canvas, menus, and toolbars.

The user session that you log into.