When Pentaho Enterprise Edition (EE) 9.3 was released in May it represented a significant step in the journey towards a seamless hybrid cloud solution – one that simplified decisions and enabled customers to manage all their data operations for various use case scenarios.

CDP Operational Database (COD) is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. It is one of the main data services that run on Cloudera Data Platform (CDP) Public Cloud. You can access COD from your CDP console.

You know the old saying “work smarter, not harder?” Turns out that’s easier said than done. How can your finance team transform the way it works and add strategic value to your organization? How can you shift your focus from menial tasks to tactical execution, and ultimately from tactical to strategic activities? In most companies, financial reporting consumes an inordinate amount of time and energy.

Since Snowflake’s inception, we’ve had the needs of our customers as our North Star, with a clear focus on security and governance of data. Early on we also committed to continuous innovations to improve performance and reduce latencies, and by virtue of our business model continuously improve the economics for our customers.

A good data visual can provide a very fast construct of a situation or trend – useful when you have a large, complex dataset or information that isn’t joined or connected. There are many types of data visualizations available. Which is the right one for your use case?

Your business needs actionable insights from your Oracle ERP data to respond to volatile market conditions and outpace your competition. But generating custom reports requires deep technical knowledge and the process is often managed by IT. The process can often take weeks, if not months, and, in many cases, the report or dashboard is limited to a single use case and applicable only to a single business unit or user – often only the requester.

In its 2022 Magic Quadrant™ for Data Quality Solutions report, Gartner® emphasizes the “importance of having a critical approach toward managing the health and fitness of data.” We agree that “poor data quality completely destroys business value.” Organizations simply cannot afford for data quality to be an afterthought. And if you’re currently in the process of evaluating data solutions for your organization, this report can help.

BigQuery’s impressive performance reduces processing time from months to hours and delivers on-demand real-world insights for Telus.

Yellowfin analytics has a broad range of capabilities to help enterprise organizations and product owners solve the most pressing analytical dashboards and reporting needs. If you've been using Yellowfin for a while, you know how great it is to tell stories with data, work together, and make beautiful, easy-to-use dashboards that let more people see, understand, and act on their data.

Whether you call it self-service analytics or self-service business intelligence (BI), there has been much discussion about the perils, myths, promises, and prospects of successfully building self-service capability. Going forward, I’ll use the phrase “self-service BI” but you are welcome to substitute the words “self-service analytics”.So, is self-service BI actually attainable or just snake oil?