QlikView offers two approaches to handling Big Data that both deliver the same great user experience. 

QlikView allows you to consolidate relevant data from multiple sources, including Big Data repositories.

QlikView & BIG Data

Big Data’s value can be unleashed for business users by condensing it and intelligently presenting only what is relevant and contextual to the problem at hand. IT professionals are challenged with not only providing the infrastructure but also to help provide meaning to the Big Data.

QlikView allows you to consolidate relevant data from multiple sources, including Big Data repositories. You choose the method most relevant for you and your IT infrastructure. 

With QlikView you can:

  • Leverage existing investments in Big Data infrastructure or data warehouses
  • Access Big Data without complex data modeling or programming
  • Explore associations between Big Data and traditional data
  • Visualize Big Data with engaging, state-of-the-art graphics
  • Access and analyze Big Data from mobile devices

 

QlikView Offers Choices. Big Data is a relative term and the data requirements of every organisation are different. QlikView offers two approaches to handling Big Data that both deliver the same great user experience. Switching between the two is a trivial task so customers are not locked into either approach.

Analyse Big Data with QlikView’s 100% In-Memory Architecture. 

QlikView’s patented in-memory data engine compresses typical data by a factor of 10, meaning a single 256GB RAM server can load upwards of 2TB of uncompressed data. This represents billions of rows while offering response rates only possible with in-memory architectures.

QlikView’s patented in-memory data engine compresses typical Big Data
by a factor of ten

Other QlikView features such as document chaining and binary load further accelerate the exploration of very large data sets. This is the path chosen by many QlikView customers to analyze terabytes of data stored in data warehouses or Hadoop clusters and similar repositories.

Invested in Big Data Infrastructure? 

Meet QlikView Direct Discovery. For companies that have invested in a large data warehouse or other Big Data infrastructure and don’t want to load all data into the QlikView in-memory engine, QlikView Direct Discovery is a hybrid approach that leverages both in-memory data and data that is dynamically queried from an external source. 

QlikView Direct Discovery allows users to query data from Big Data repositories on-the-fly, cache query results in memory for faster recall and maintain associations among all the data, regardless of where it is located.

This hybrid approach delivers several business user benefits, including the ability to tap into Big Data without knowledge of programming, adding meaning and context to Big Data and drill-down to granular details when necessary.