Cloudera, announced new and upcoming enterprise data cloud services on Cloudera Data Platform (CDP): CDP Data Engineering; CDP Operational Database; and CDP Data Visualization. The new services are analytic experiences designed specifically for data specialists and, unlike general purpose services that require add-ons for critical capabilities like workflow automation, job prioritization, and performance tuning, include these key capabilities to help data engineers, data analysts, and data scientists work smarter and faster. CDP enterprise data cloud services are purpose-built to enable data specialists to confidently navigate the storm of exponential data growth and siloed data analytics operating across multiple public and private clouds.
Every business is facing a perfect storm of radical change, supercharged by the impact of a global pandemic. Everything from face-to-face meetings to buying groceries has gone digital almost overnight. As a result, organizations are generating more data than ever, at every point of business. There are more digital transactions to track and monitor. Every engagement with coworkers, customers, and partners is virtual. With this deluge of data flooding every enterprise, Cloudera believes this onslaught offers an opportunity to make better business decisions, faster. The Cloudera Data Platform can leverage virtually unlimited quantities and varieties of data, from any point in the data lifecycle, to power better decision making.
Data lifecycle integration is what enables data engineers, data analysts and data scientists to work on the same data securely and efficiently, no matter where that data may reside or where the analytics run. CDP not only helps to improve individual data specialist productivity, it also helps data teams work better together, through its unique hybrid data architecture that integrates analytic experiences across the data lifecycle and across public and private clouds. Effectively managing and securing data collection, enrichment, analysis, experimentation and analytics visualization is fundamental to navigating the data storm. The result is data heroes can collaborate better and more rapidly deliver data-driven use cases, like predictive maintenance and customer 360, that the business requires to compete and serve customers better.
“Our customers understand the importance of the data lifecycle to infuse data-driven decision making throughout their business, traditionally integrating data clusters for NiFi, Kafka, Spark, Impala, Hive, HBase and more,” said Arun Murthy, chief product officer, Cloudera. “That still works for data experts – architects and developers – who can use our data lifecycle cluster service – CDP Data Hub. Now with CDP’s analytic experiences, data specialists like engineers, analysts and scientists get exactly what they need to work better, without having to understand or manage clusters, with built-in security and governance across the data lifecycle to make it easy for IT. It’s one enterprise data cloud that works for everyone.”