Analytics

Exploring Data & Dashboard Creation on CDP Public Cloud

In this video, we'll walk through an example on how you can use Cloudera Data Warehouse to both easily run ad hoc queries against data as well as turn the results of those queries into beautiful, interactive, data visualizations and dashboards that show off the results of your data exploration.

Why COVID makes a CIO's tech strategy THE strategy

The global pandemic continues to impact our world in so many ways. But it has also served as a catalyst for technological change—a forcing function that is accelerating cloud migration. Every company wants to create better products or services, differentiate offerings, price strategically, grab more market share, retain customers, and grow in a sustainable manner.

Filter more pay less with the latest Cloudera Data Warehouse runtime!

One of the most effective ways to improve performance and minimize cost in database systems today is by avoiding unnecessary work, such as data reads from the storage layer (e.g., disks, remote storage), transfers over the network, or even data materialization during query execution. Since its early days, Apache Hive improves distributed query execution by pushing down column filter predicates to storage handlers like HBase or columnar data format readers such as Apache ORC.

Yellowfin does it again - Gartner 2021 Magic Quadrant

Once again, Yellowfin has been recognized in the Gartner Magic Quadrant. This is the eighth time that we have been recognized and for the second year, we are in the visionary quadrant. Yellowfin is also the only Australian vendor to be included. Gartner has recognized Yellowfin for three things in particular - innovation, breadth of capability and openness.

Integrate Amazon RDS With Other Data Sources

How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration on the cloud lets you join data from various sources and then process it to gain new insights. What about storing the results back to RDS? No problem; Xplenty does that as well.

Decentralized Data Teams Helped With Low Code

When a company is small, having a fully centralized data team may not be an issue. As you grow, however, problems can start to arise. You have one structure that’s supporting all of your business units, and they may not be able to dedicate sufficient time and resources to individual business units. This can lead to delays in surfacing important insights and decisions made on old or inaccurate data.