Cloud Data Integration

Introduction to Cloud Data Integration

For today's corporations, data is often widely distributed among multiple systems and platforms on-premises and in the cloud. Cloud data integration—the technologies and processes by which data is moved between on-premises and cloud data stores so as to keep those systems in sync with each other—is a key challenge for IT staffs in companies that leverage the cloud for backup, archiving, analytics, and other use cases. It's not uncommon for organizations to try to meet diverse cloud data integration requirements with a hodge-podge of hand-coded scripts and tools that are time-consuming to develop and difficult to maintain or change—hardly ideal in an era when agility is a business imperative.

Many forward-thinking businesses are finding that Qlik Replicate® is an easier and better way to meet the challenges and reap the rewards of cloud data integration.

Accelerate Cloud Initiatives with Simple, Automated Cloud Data Integration

Qlik Replicate – branded as Qlik CloudBeam in partner cloud marketplaces like Amazon – makes cloud data integration simpler and more agile by enabling source-to-target data migration and synchronization without any manual coding. Data administrators and analysts can use the intuitive Qlik console to configure, execute, and monitor cloud data migration jobs. Qlik automatically generates the needed code, sharply reducing reliance on development staff and accelerating time-to-value for cloud data initiatives.

Qlik also enables IT agility by serving as a single, unified solution for all of an organization's diverse cloud data integration needs. Qlik enables integration and data movement between nearly any type of source data system – such as relational databases, mainframe systems, data warehouses, and data lakes – and any of the leading cloud data platforms including Amazon (S3, EC2, RDS, Redshift, EMR), Azure, and Google. As a universal data integration tool, Qlik eliminates the complexities, maintenance costs, and risks associated with employing multiple disparate integration scripts and utilities.

While making it easy and fast to implement bulk data transfers to and among cloud data platforms, Qlik Replicate/CloudBeam also supports real-time incremental cloud data replication. With Qlik agentless change data capture (CDC) technology you can easily keep on-premises and cloud data stores in sync, ensuring that your cloud initiatives benefit from the freshest possible data. You can also securely transfer data across Wide Area Networks (WANs) by leveraging NSA-approved AES-256 encrypted multi-pathing. To maximize utilization of available bandwidth, large tables can be compressed and split into multiple, configurable streams, and small tables or CDC streams can be batched together.

To address unpredictable events like network outages, Qlik Replicate offers seamless recovery from transfer interruptions from the exact point of failure. This is accomplished by staging source data in a temporary target directory, then validating the data before loading it into the target database.

Cloud Data Integration for Agile Data Warehousing and Analytics

Qlik Replicate/CloudBeam can be paired with Qlik Compose® for an integrated solution for cloud data warehousing and analytics. With this Qlik cloud data integration solution you can design, create, load, and manage cloud-based data warehouses and data marts without needing the expertise to write cloud ETL code. By empowering data managers and analysts to create Amazon Redshift ETL processes in a user-friendly GUI, for example, your team can leverage the power of Redshift ETL for data warehousing and data marts without the project getting hung up in long development and testing cycles.

Learn more about data integration with Qlik