Systems | Development | Analytics | API | Testing

What if I want those exciting, sexy, awesome, new visualizations I just saw....BUT I am not ready to upgrade to February 2019?

Enterprises often manage data in multiple databases, often hailing from different vendors and even residing in different clouds. Thanks to DreamFactory's data mesh feature, it's possible to configure your REST API to merge data from disparate databases and present this data within a single response.

Learn what's new in Qlik Sense February 2019. Check out more Qlik videos in our new Qlik Product Spotlight portal and expand description for links.

The Qlik Associative Big Data Index is a powerful value add product for Qlik Sense– delivering Qlik’s patented associative difference engine on top of Big Data – allowing users to freely explore and search big data repositories while leaving the data where it resides.

Webinar Series "Your Customer's Journey" EP 9

Webinar Series "Your Customer's Journey" EP 10

The Qlik Data Catalyst Prepare module, is where you create custom data preparation jobs called data flows. Data flows transform and augment existing data entities into new sets of data entities, with the specific format and content that you need.

With Qlik Data Catalyst, when you onboard data into the marketplace, you do much more than just ingest that data source into the data collection. Under the covers, Qlik Data Catalyst's onboarding process performs data translation, quality checking, validation, and profiling steps, all aimed at adding an accurate, complete, and thoroughly documented representation of that new data.

With Qlik Data Catalyst you can deliver purpose-built data sets to data consumers across the business - including data scientists, business analysts and downstream applications – which of course includes our powerful Data Analytics Platform Qlik Sense.

Qlik Data Catalyst builds a secure, enterprise-scale catalog of all the data your organization has available for analytics, no matter where it is. Powerful, automated data preparation and metadata tools streamline the transformation of raw data into analytics-ready information assets. Business users get a single, go-to data marketplace to find, understand, and use any enterprise data source to gain insights.