Customers can solve marketing analytics, data governance and data sharing challenges with cross-cloud analytics.

Whether inflation, global conflict or supply chain disruption, 2022 has been full of significant events that have fundamentally impacted the business landscape. The undercurrent is an accelerating de-globalization process. But this isn’t just geo-political in nature; the re-distribution of power and fragmentation of data are inextricably linked. As a result, data-driven businesses are having to adapt to a more distributed world – fast.

Deliberations about defining your data approach often revolve around an offensive vs defensive data strategy. Here, an offensive strategy is focused on driving positive outcomes through increased revenues and profitability or by providing an enhanced customer experience. The primary objectives of an offensive data strategy are typically tailored to the product or business side of the organization, prioritizing AI and analytics use cases to drive superior commercial or financial outcomes.

The FIFA World Cup 2022 is nearing its end, and the final game promises to be a nail biter. What started with 32 countries battling it out for close to a month, will now culminate in a play-off between Argentina and France. FIFA projects more than 5 billion people to tune in for the tournament, perhaps making the World Cup Final 2022 the most watched event of the year!

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. This year we’ve been named a Leader. This validates our significant momentum in global enterprises. And together, with our recent recognition in the Gartner Peer Insights Customer Choice Distinction for Cloud DBMS, cements our position as an industry leader.

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes.

Late last June, I had the opportunity to attend a ThoughtSpot User Group session in London and share how ThoughtSpot has impacted global procurement at Roche—notably how it’s helped my team not become a dashboard factory for the rest of our business.

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet, have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale.

If you use a data lake, chances are you need a way to keep your data searchable for business users. When combined with the analytics capabilities of a cloud data platform, a data catalog can solve some of the common pain points around “data swamps,” where users fail to gain any meaningful insights from their data. Some of a business’s most valuable assets lie within its data.