In October of 2020 Cloudera acquired Eventador and Cloudera Streaming Analytics (CSA) 1.3.0 was released early in 2021. It was the first release to incorporate SQL Stream Builder (SSB) from the acquisition, and brought rich SQL processing to the already robust Apache Flink offering. The team’s focus turned to bringing Flink Data Definition Language (DDL) and the batch interface into SSB with that completed.
The thing about data is there’s no end to how much of it you can collect and keep. Each day, if you’re like most of the global banks I work with, you’re generating oceans of the stuff. Yet the bulk of it will never be very helpful or even relevant to your day-to-day business decisions.
Every marketer knows the old John Wanamaker quote, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” With the introduction and evolution of multi-touch attribution (MTA), the media industry has moved closer than ever to understanding the impact of each touchpoint on a customer’s behavior, from signing up for a newsletter to making a purchase.
Cloudera Support’s cluster validations proactively identify known problem signatures contained in customers’ diagnostic data with the goal of increasing cluster health, performance, and overall stability. Cluster validations are included in a customer’s enterprise subscription at no additional cost. All customers with access to the Support case portal will also be able to take advantage of cluster validations.
Last year, Harvard Business Review and ThoughtSpot published a groundbreaking survey on the business benefits of empowering frontline workers with data. Revenues are higher, operations more efficient, customer service better, and employees happier. And yet, few organizations deploy BI this way, historically held back by the technology, conflicting priorities, and mindset.
Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To keep up, data pipelines are being vigorously reshaped with modern tools and techniques.
