Data preparation, or data prep, was once a fairly simple operation. But as the volume of data and the number of data sources available to the enterprise have grown exponentially, data prep has become a complex, time-consuming and costly endeavor for IT teams.

Data prep involves taking raw data from multiple sources, cleaning it, validating it, structuring it and enriching it to prepare it for use in business analytics and business intelligence (BI) projects. With the advent of Big Data, real time BI and IoT data analytics, IT teams are hard-pressed to accelerate data prep enough to keep up with the influx of valuable information. Without efficient tools, data prep tasks involving manual coding can quickly tie up talented programmers and IT resources.

To efficiently manage data prep and deliver timely intelligence to decision-makers, enterprises need simple, efficient and automated solutions for ingesting and integrating data from a wide variety of sources to a broad range of targets. That’s where Qlik can help.

Qlik Replicate®: universal data replication and data ingestion for faster data prep

Qlik Replicate is a software solution that enables organizations to accelerate data replication, ingestion and streaming to for easier data prep and to move data securely and efficiently with minimal impact on operations. Using an intuitive, web-based GUI, data administrators can move data quickly from source to target, configuring, controlling and monitoring tasks across all sources and targets without manual coding.

With Qlik Replicate, enterprises can:

• Manage data ingestion and replication for data prep faster and more easily.
• Reduce the skill and training requirements for data administrators charged with data prep tasks.
• Improve business agility by delivering more analytics-ready data the business.
• Minimize the time and expense of data preparation and data connectivity.

Features and capabilities of Qlik’s data prep solution

Qlik Replicate provides:

• Zero-footprint architecture and agentless data replication for mainstream database systems that help minimize the administrative burden and reduce the impact on source systems.
• Support for the industry’s broadest range of sources and targets, including all major RDBMS, data warehouses, cloud systems, Hadoop, streaming platforms and mainframe modernization systems.
• Advanced change data capture (CDC) technology that works in conjunction with ETL solutions to provide real-life in time data integration for transactional, streaming and batch architectures.
• Secure, high-speed cloud data transfer, moving data in parallel streams into, across and out of cloud architectures and accelerating tasks like SQL migration.
• Easy ingestion of structured data into Hadoop and data lake ecosystems.
• Easy publication of events to major streaming services like Kafka.