Data Warehouse Environment

Qlik (Attunity) offers a software portfolio that's focused on data delivery and availability, automating data readiness for analytics and optimizing data management with intelligence. Companies worldwide rely on Qlik (Attunity) products and solutions to get more value from their data while saving time and reducing costs.

Qlik (Attunity) provides a suite of easy-to-use software products for managing, automating and analyzing the data warehouse environment. Features include:

• Data replication for real-time data warehousing: Providing change data capture (CDC) with optimized integration to all major data warehouse platforms, Qlik (Attunity) delivers data faster and database changes to the data warehouse environment with near-zero latency. Log-based CDC minimizes the impact on source systems, while a zero-footprint architecture eliminates the need for agents on source database systems.

• Data warehouse automation: Streamlining the process of data warehouse modernization with automation. Qlik (Attunity) dramatically reduces the time, cost and risk typically involved in data warehouse implementations.

• Workload analytics: Use Qlik (Attunity) for data warehouse usage and workload analytics for the data warehouse environment. Providing insights based on in-depth and multi-dimensional analysis, Qlik (Attunity) enables enterprises to improve analytics services that deliver insight to decision-makers and employees throughout the business.

With Qlik (Attunity) software products and solutions for the data warehouse environment, enterprises can:

• Create, manage and scale data warehouse projects more easily, using an intuitive, configurable GUI to quickly set up data feeds with no manual coding.

• Implement a data warehouse environment in days or weeks, rather than months, relying on design automation for creating data warehouse structures and using ETL automation to dramatically reduce time and resources required for implementation.

• Improve performance of a data warehouse environment with usage analytics that can identify and address heavy workloads and bottlenecks.

• Easily manage data replication from multiple sources to multiple targets, including cloud data warehouse environments such as Amazon Redshift, Microsoft Azure and Google Cloud.