The explosion of data, the wide range of new analytics capabilities and the increased demand from data users have changed the way data must be moved, stored, processed and analyzed.
This new environment has increased complexity and created new bottlenecks in IT departments, where many processes and technologies are insufficient.
Today, organizations need an architecture that ensures that large volumes of data from diverse sources are collected and replicated to analytics platforms without disrupting production applications. In addition to tracking data, preserving and protecting it throughout its lifecycle, and automating the design and cleansing of data warehouses and data lakes while leveraging best practices.
We present four strategies that will enable you to meet these challenges by automating and accelerating data flows, thus meeting today's requirements for agility and real-time data delivery.
Use the modified data capture to identify and propagate data changes as they occur.
- Replicate data continuously by identifying and copying data updates as they occur
- Keep users informed about where the data has come from, where it has been and how it has changed
2. Automate the creation of data warehouses to quickly add new data sources and subsets of data for specific purposes.
- Empower data delivery teams to easily turn raw data into an analytics-aware, governed asset.
- Give business departments faster access to relevant data within the data warehouse, accelerating time-to-insight cost-effectively.
3. Automate the creation of data lakes to provide continuously updated, accurate and trusted datasets.
- Quickly and easily create large-scale data channels
- Eliminate as many scripts as possible, adapting data processing in several stages without programming
- Close the last mile by providing data ready for real-time analytics
4. Build and employ an enterprise data catalog to make each new data set available and accessible.
- Provide enterprise-wide visibility of siloed data sources to make them available on-demand
- Enable users to find, reuse, comment and share datasets across a Smart Data catalog
- Track data usage and monitor data access policies throughout the data life cycle
- Deliver data to any analysis platform
With Qlik's state-of-the-art data integration platform (QDI), you can provide business users with the confidence that the data they analyze is accurate, secure and verifiable. QDI has a robust set of enterprise-scale quality, governance and collaboration capabilities to greatly accelerate the discovery and availability of analytics-ready data in real time.
To learn more about how QDI can help you transform your data strategy, feel free to contact us at marketing@prediqtdata.com.