What Are the Right Data Integration Tools?
In recent years, the scope of data integration has grown to include a considerably wider operational range, including data migration, movement, and management; data preparation, and data warehouse automation. Enterprises that rely on data to maintain and grow their business (which is fast becoming just about all mid-sized and larger businesses) need to find the right data integration tools to work with their data warehouse platforms and associated data ingestion tools.
Modern, data-driven businesses need the flexibility to support both structured and ad hoc integration of disparate data sources.They need the right mechanisms to quickly access data insights without the burden of building big data integration scripts and data models that render the data sets involved obsolete by the time the integration work is done.Flexible data formats such as Avro and JSON stress the efficient integration of often ad hoc semi-structured data with existing structured data.
A combination of the right data integration and ETL/ELT tools with a cloud-built data warehouse can automate what were once time and resource-consuming data integration processes.
Data Integration Tools and the Snowflake Data Warehouse
Snowflake, the Data Warehouse Built for the Cloud, works seamlessly with many leading data integration tools and platforms, including Fivetran, Informatica, Matillion, Snaplogic, Stitch, Tableau, Talend, and more (check out the full list here).
Snowflake also supports transforming data while loading it into a table using simple commands, significantly simplifying basic transformations in the ETL pipeline.