At a time when the volume of data and number of data sources continues to grow exponentially, data connectivity is the key to gleaning insight from real time BI, big data and IoT data analytics.
Data prep for analytics is more complicated than ever before. Users and applications need data from the greatest possible number of sources: the more comprehensive the collection, the deeper the insight into business operations, customer preferences and market opportunities. Data connectivity – the ability to move data easily between heterogeneous sources and targets – is critical to this effort.
To consolidate data from highly diverse sources, IT teams have normally turned to ETL data processes to ensure data connectivity. But traditional ETL tools have likely reached the limit of their effectiveness for processing vast sets of real-time streaming data. IT teams often become mired with complex processes and manual coding and can’t keep up with the pace of data entering the organization.
To maximize data connectivity, organizations need solutions that can simplify data ingestion, replication and consolidation across all major data sources and targets. That’s where Qlik provides true value.
Qlik Replicate supports universal data connectivity by empowering organizations to accelerate replication, ingestion and streaming across a wide range of heterogeneous databases, data warehouses and Big Data platforms. Serving as the foundation for a modern and efficient data pipeline, Qlik Replicate enables automated, real-time and universal data connectivity for sources and targets on premises and in the cloud.
The key to data connectivity is Qlik Replicate’s support for the industry’s broadest range of databases and platforms. These include:
When choosing Qlik Replicate to promote data connectivity, organizations can: