SnapLogic Architecture: SnapLogic Architecture is the framework used to design and implement data integration and workflow automation solutions. It involves creating reusable components, defining data flows, and managing orchestration. This skill is measured in the test to assess the candidate's understanding of how to architect and optimize data integration solutions using SnapLogic.
SnapLogic Integration Cloud: SnapLogic Integration Cloud is a cloud-based platform that enables seamless data integration between various applications and systems. It involves connecting data sources, mapping and transforming data, and automating workflows. This skill is measured in the test to evaluate the candidate's ability to leverage the SnapLogic Integration Cloud platform for efficient data integration.
Event Driven Pipelines: Event Driven Pipelines are a key feature of SnapLogic that enable real-time data processing and automation based on predefined triggers and events. It involves designing pipeline workflows that respond to specific events and data changes. This skill is measured in the test to gauge the candidate's proficiency in creating event-driven pipelines using SnapLogic for real-time data integration and processing.
Salesforce Integration: Salesforce Integration refers to the process of connecting and integrating Salesforce with other applications and systems to enable seamless data exchange and workflow automation. It involves configuring connectors, mapping data fields, and managing data synchronization. This skill is measured in the test to assess the candidate's ability to integrate Salesforce with other systems using SnapLogic and ensure smooth data flow.
Cloud Analytics: Cloud Analytics involves leveraging cloud-based analytics tools and platforms to analyze and gain insights from large volumes of data. It includes data visualization, data modeling, and advanced analytics techniques. This skill is measured in the test to evaluate the candidate's knowledge and proficiency in utilizing cloud analytics capabilities within SnapLogic for data analysis and decision-making.
Working with Components: Working with Components in SnapLogic involves creating and configuring reusable building blocks to streamline data integration processes. It includes defining input/output schemas, setting properties, and managing component dependencies. This skill is measured in the test to assess the candidate's ability to effectively utilize and customize components within SnapLogic for efficient data integration and workflow automation.
Big Data Integration: Big Data Integration refers to the process of integrating and processing large volumes of structured and unstructured data from various sources. It involves implementing data ingestion, transformation, and analytics on big data platforms. This skill is measured in the test to gauge the candidate's understanding of how to leverage SnapLogic for seamless integration and processing of big data sources.
SnapLogic ETL and EAI: SnapLogic ETL (Extract, Transform, Load) and EAI (Enterprise Application Integration) are key functionalities offered by SnapLogic. ETL involves extracting data from various sources, transforming it into the desired format, and loading it into target systems. EAI focuses on integrating different enterprise applications and systems to ensure smooth data flow and automation. This skill is measured in the test to evaluate the candidate's proficiency in utilizing SnapLogic for ETL and EAI tasks in data integration projects.
