With significant advancements for transient and persisted clouds, customers now have more choice in how they extract value from the business data
Cloudera announced new technology enhancements to its core platform that will make it easier for companies to use elastic, on-demand cloud infrastructure to gain significant business value from all their data. The company also announced it is generating significant momentum with customers running production environments on public cloud infrastructure.
The move to cloud is a top priority for CIOs in 2016 across the globe. According to a Gartner Survey Analysis: Cloud Adoption Across Vertical Industries Exhibits More Similarities Than Differences, February 2015, IT spending on public cloud is growing at a five-year CAGR of 18% through 2018 – further evidence that cloud spend is far outpacing IT spend with no signs of slowing down.
Another industry analyst, Tony Baer of Ovum is on record saying that the cloud is where the next wave of Hadoop take-up is going to happen. More specifically: “Ovum believes that appliances and cloud deployment will drive the next major adoption wave of Hadoop and big data analytics.”
Mike Olson, co-founder and chief strategy officer of Cloudera said, “Helping our customers win in the cloud is a key strategic objective for Cloudera. Today our enterprise platform is uniquely positioned to support any kind of big data workload in the cloud, whether transient or long-lived, handling batch jobs in support of building data ingest pipelines or supporting advanced SQL analytics and complex event processing. We deliver true elasticity, scaling to handle workloads on demand, and offering consumption-based pricing that users expect in the cloud. Delivering this customer success requires providing companies with choice in where they run their workloads. They need the ability to react quickly to changing business demands on a platform in a manner that’s secure and meets strict guidelines for data governance.”
Cloudera continues to drive customer success in the cloud by enabling production-ready big data analytics optimized to run across modern IT environments. Cloudera Enterprise 5.8 enables customers to run Apache Impala (incubating) against popular cloud-native object stores including Amazon S3. This means customers can now run high-performance SQL analytics and BI workloads on data in Amazon S3 without having to transform or move that data to another location on Amazon Web Services (AWS). Today, Cloudera customers can also use processing and query engines Apache Hive, Apache Spark, and Hive-on-Spark (typically 3x faster than Hive on MapReduce) directly against data in Amazon S3.
Cloudera is the only Apache Hadoop-based data management and analytics platform to support production workloads in hybrid cloud environments and was recently ranked number five on the Forbes Cloud 100 List. Hadoop in the cloud will be a key theme during Strata+Hadoop World New York, September 27-29. During his keynote, Mike Olson will discuss how the cloud is driving the democratization of big data. In another keynote, James Powell, chief technology officer at Nielsen, a Cloudera customer, will talk about how they’re running big data analytics in a multi-cloud architecture to move faster and manage risk.
