Azure Data Factory is a cloud-based data integration service that can handle large-scale data processing and complex transformations.

ETL tools are used to extract data from various sources, transform it into a consistent format, and load it into a target system.

Cloudera Data Integration Studio is a data integration platform designed for working with Hadoop and other big data technologies.

A data warehouse serves as a central repository for storing and managing integrated data from various sources.

Google Cloud Data Fusion is a cloud-based platform for data integration and data management.

Data integration platforms provide a centralized platform for accessing and integrating data from various sources, simplifying data access for users.

Talend Open Studio is an open-source data integration tool with a large community of users and contributors.

Data mapping is the process of defining how data from different sources should be transformed and integrated into a consistent format.

SAP Data Services is a data integration tool designed specifically for working with SAP data.

The primary challenge associated with data integration is managing the volume and complexity of data from various sources.

Apache NiFi is a data integration tool designed for real-time data integration and streaming data processing.

Data profiling is the process of analyzing data to understand its structure, quality, and distribution.

Azure Data Factory is a data integration tool that can integrate data from cloud-based sources and applications.

The primary goal of data integration in the context of business intelligence is to improve data accuracy and consistency.

Apache Spark is a data integration tool that can handle unstructured data formats, such as JSON and XML.