Technology continues to rapidly transform every industry. The world of BI and analytics is no different. We’ve shared five predictions every data leader needs to know about in 2019, but there were five more we couldn’t leave out. 6. Semantic models make a resurgence
Since announcing our new interface back in July, our goal has been to make it easier for BigQuery users and their teams to uncover insights and share them with teammates and colleagues. Whether you’re a veteran or brand new to BigQuery, we wanted to highlight some of the major improvements we’ve made to the interface in the past five months. Some of this functionality was previously available in the classic UI, while other elements are totally new. Let’s take a closer look.
As a key part of Yellowfin release 8, we recently introduced Signals. Signals delivers automated alerts to users about critical changes in their business. We’ve been using the product internally and have learned four things about how Signals can be used within your organization.
Ever been frustrated by someone having all the answers then realising they don't know why those answers are right?
Catch-phrases like “data is the new oil” are popping up everywhere, and rightfully so. Data is an extremely valuable asset, and organizations everywhere and across all industries are trying to capitalize on their own asset of data. One-way companies are trying to gain value from their data is through democratization.
The analytics and business intelligence market is set to undergo unprecedented change in 2019. Driven by new technologies like AI and machine learning, along with advances across the cloud ecosystem, data leaders face tremendous transformation - and opportunity. Here are five predictions for what the analytics ecosystem holds for 2019.
Last June, we released the first phase of multi-cloud deployment options for Qlik Sense Enterprise – our first in a series of steps in delivering unparalleled flexibility and choice in how you deploy analytics across public and private clouds, and on-premise.
In my last blog I described how to achieve continuous integration, delivery and deployment of Talend Jobs into Docker containers with Maven and Jenkins. This is a good start for reliably building your containerized jobs, but the journey doesn't end there. The next step to go further with containerized jobs is scheduling, orchestrating and monitoring them.
