SnapLogic Training

• Understand the fundamental concepts of SnapLogic integration platform.
• Learn how to design and build data pipelines using SnapLogic.
• Gain proficiency in transforming and manipulating data within SnapLogic.
• Explore various connectors and adapters available in SnapLogic for seamless data integration.
• Master the use of SnapLogic's monitoring and error handling capabilities.
• Develop skills in error handling, debugging, and troubleshooting SnapLogic pipelines.

• Recorded Videos After Training
• Digital Learning Material
• Course Completion Certificate
• 24x7 After Training Support

• Integration Developers
• Data Engineers Integration
• Architects Data Integration Specialists
• Business Intelligence (BI) Developers

• Basic Computer Skills: Participants should have a fundamental understanding of computer systems, operating systems, and general software usage. Familiarity with Data Concepts: It is beneficial to have a basic understanding of data concepts, such as databases, data formats (e.g., CSV, JSON), and data transformation.
• Knowledge of Integration Concepts: Having a grasp of integration concepts like ETL (Extract, Transform, Load) processes, APIs (Application Programming Interfaces), and data integration patterns can be helpful.
• Understanding of SQL: Familiarity with Structured Query Language (SQL) and its usage for data querying and manipulation is advantageous. Basic Programming Knowledge: Some training programs may require basic programming knowledge, especially in languages like Java, Python, or JavaScript. This can aid in understanding and customizing integration workflows.

• Multisoft Systems provides a globally recognized training certificate after successful completion of SnapLogic Training Course.

Module 1: Components

• Reviewing sample leads to the prospects pipeline
• Creating the writer component and components
• Developing Read-write Pipeline

Module 2: Filtering the Data

• Reviewing California Prospects Pipeline
• Creating the Filter Components
• Duplicating the Components
• Developing Read-Write-Filter Pipeline

Module 3: Data Services

• Reviewing Census Feed and the Qualified California Pipelines
• Creating the Join Components
• Data Services
• Creating the Join Components
• Duplicating the Writer Components
• Developing the Data Service Pipeline

Module 4: Data Sorting

• Reviewing Filtered Qualifying California Prospects Pipeline
• Sorting the Data
• Module 5: Using the Pass-through
• Reviewing California Prospects Pipeline
• Implementing the Pass-Through