Data Mastery with Qlik – Big Data Made Easy
Qlik has a number of tools and technologies that are designed to help organizations manage, analyze, and visualize large volumes of data, often referred to as “big data.”
Qlik is a business intelligence and data visualization tool that can be used to analyze big data. Qlik’s approach to big data is centered around its associative model, which allows users to easily explore and discover relationships in large datasets without the need for pre-defined queries or joins.
Qlik’s associative model is based on a proprietary data indexing technology called Qlik Associative Engine, which allows users to perform complex data analysis with ease. The Qlik Associative Engine indexes all the data in the big data sources, creating a common data layer that allows users to create visualizations and reports without the need for SQL or other programming languages.
One of the key tools that Qlik offers for working with big data is Qlik Sense, a powerful data visualization as well as analytics platform that enables users to explore and analyze data from a variety of sources, including traditional databases, Hadoop, and cloud-based data stores.
Qlik Sense includes a range of features and functions that are specifically designed to support big data scenarios, such as in-memory data processing, data federation, and scalable data visualization.
In addition to Qlik Sense, Qlik also offers a range of other tools and technologies that can help organizations manage and analyze big data, including:
- QlikView: a data visualization and analytics platform that enables users to create and publish interactive dashboards and reports
- Qlik Connectors: a set of pre-built connectors that enable users to easily connect to and access data from wide range of sources, including databases, data warehouses, cloud platforms, and more
- Qlik Data Integration: a set of tools and technologies that enable users to extract, transform, and load data from various sources into a central repository, such as a data warehouse or data lake
Overall, Qlik’s approach to big data is centered around empowering users to easily access, explore, and analyze large volumes of data, regardless of the size or complexity of the data sets. By providing a range of tools and technologies that are specifically designed to support big data scenarios, Qlik helps organizations to make better data-driven decisions and drive business value from their data assets.