What is Pervasive Data Integrator

Pervasive Data Integrator is not a component of Microsoft Business Intelligence (MSBI) stack. It appears to be a confusion or misinterpretation of terms. However, within the MSBI stack, there is a data integration component called SQL Server Integration Services (SSIS). SSIS is a platform for building data integration and ETL (Extract, Transform, Load) solutions.

SQL Server Integration Services (SSIS) is a powerful data integration tool provided by Microsoft as part of the MSBI stack. It offers a visual development environment for creating workflows that extract data from various sources, transform it based on business requirements, and load it into target systems.

Pervasive Data Integrator, also known as Actian Data Integrator, is a data integration and ETL (Extract, Transform, Load) tool developed by Pervasive Software, which is now a part of the Actian Corporation. Pervasive Data Integrator enables organizations to extract data from various sources, transform it according to business requirements, and load it into target systems or data warehouses. It provides a visual development environment with a range of pre-built connectors, transformations, and workflow components to streamline data integration processes.

With Pervasive Data Integrator, users can establish connections to diverse data sources such as databases, files, web services, and more. The tool offers a wide range of transformation capabilities, including data cleansing, aggregation, filtering, mapping, and custom scripting. It allows for the creation of complex data integration workflows, where users can define the sequence of tasks, dependencies, error handling, and scheduling.

Pervasive Data Integrator offers scalability and performance optimizations to handle large volumes of data efficiently. It supports parallel processing, data partitioning, and load balancing to enhance throughput and speed. The tool also provides comprehensive monitoring and logging capabilities, allowing users to track and analyze data integration processes for troubleshooting and performance tuning.

Furthermore, Pervasive Data Integrator integrates with other data management systems and technologies, enabling seamless connectivity with databases, business intelligence tools, and data warehouses. It supports various data formats and standards, facilitating data integration across heterogeneous environments.

Overall, Pervasive Data Integrator is a comprehensive data integration and ETL tool designed to streamline the process of extracting, transforming, and loading data. It provides a robust set of features, connectors, and transformations to facilitate efficient data integration, data quality management, and the creation of complex data workflows.

By obtaining MSBI Training, you can advance your career in MSBI. With this course, you can demonstrate your expertise in the basics of SIS, SSRS, and SSAS using SQL Server 2016 and SQL Server Data Tools 2015. It provides insights into different tools in Microsoft BI Suite like SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, many more fundamental concepts, and many more critical concepts among others.

Here are some key features and capabilities of SQL Server Integration Services (SSIS):

1. ETL Capabilities: SSIS supports ETL (Extract, Transform, Load) operations, enabling the extraction of data from multiple sources, the application of various transformations to manipulate and cleanse the data, and the loading of transformed data into target systems or data warehouses.

2. Visual Development Environment: SSIS provides a visual development environment within SQL Server Data Tools (SSDT) or SQL Server Management Studio (SSMS). It offers a drag-and-drop interface, allowing developers to design and configure data integration workflows using a wide range of built-in tasks, components, and connectors.

3. Connectivity and Integration: SSIS supports connectivity to various data sources such as databases, files (CSV, Excel, XML, etc.), web services, and more. It provides connectors for different systems, including Microsoft SQL Server, Oracle, MySQL, Excel, and SharePoint, enabling seamless integration with diverse data platforms.

4. Data Transformation and Manipulation: SSIS includes a rich set of built-in transformations that allow for data cleansing, aggregation, filtering, merging, sorting, and other operations. It also provides scripting capabilities, allowing developers to create custom transformations using C# or VB.NET.

5. Workflow Management: SSIS enables the creation and management of complex data integration workflows, allowing developers to define the sequence and dependencies of tasks. It supports error handling, logging, event-based triggering, and parallel execution, ensuring efficient and reliable data processing.

6. Scalability and Performance: SSIS is designed to handle large volumes of data efficiently. It supports parallel processing, bulk operations, and optimizations to enhance performance and scalability. SSIS packages can be deployed and executed on local servers or distributed across multiple servers for increased performance and load balancing.

7. Integration with MSBI Stack: SSIS seamlessly integrates with other components of the Microsoft Business Intelligence stack, such as SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS). It facilitates the extraction and transformation of data for analysis and reporting purposes, enabling end-to-end data integration and business intelligence solutions.

In summary, SQL Server Integration Services (SSIS) is the data integration component in the Microsoft Business Intelligence (MSBI) stack. It provides a comprehensive set of tools and features for designing, building, and managing data integration workflows, enabling efficient extraction, transformation, and loading of data from various sources into target systems.