Cloudera Data Platform (CDP) Private Cloud is the most comprehensive on-premises platform for integrated analytics and data management. It combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise Plus, and brings the latest and greatest open source technologies for data management and analytics to the data center. With the latest version (7) of CDP Private Cloud, we’ve introduced a number of new features and enhancements.
We are pleased to share the findings of a Forrester Consulting Total Economic Impact™ (TEI) study that evaluates the cost savings and business benefits enabled by Snowflake’s cloud data platform. Snowflake commissioned the study to gain insight into the return on investment we’re delivering for customers and learn how we can serve them better.
There is no debate. Making sense of your data is just good business. Studies from Forrester Research, McKinsey and more show that companies that leverage their data better tend to outperform their less-informed counterparts. Our own recent research, Data as the New Water: The Importance of Investing in Data and Analytics Pipelines, done in partnership with IDC, shows that companies that optimize their data pipelines see enhanced operational efficiency (88 percent vs.
It almost seems like eons ago now, but in this year’s Gartner Data and Analytics Sydney Summit, Yellowfin were excited to participate in the first-ever Analytics & BI Showfloor Showdown, alongside IBM and Oracle. As a way of facilitating a side-by-side comparison - and in the spirit of an insightful and entertaining session - we were all invited to look at the WHO health indicators data set, understand the variables that drive life expectancy, and present them to the crowd.
In keeping with its continued focus on building the most powerful and flexible cloud data platform for data-driven companies, Snowflake released a host of new features in July. The following roundup briefly describes several of them.
Linear regression, alongside logistic regression, is one of the most widely used machine learning algorithms in real production settings. Here, we present a comprehensive analysis of linear regression, which can be used as a guide for both beginners and advanced data scientists alike.
