Cloudera launches Altus to simplify big data workloads in the cloud
KUCHING: Cloudera, Inc ( Cloudera), the provider of the leading modern platform for machine learning and advanced analytics, announced the release of Cloudera Altus, a Platform- as- a- Service ( PaaS) offering that makes it easier to run large- scale data processing applications on public cloud.
The initial Altus service helps data engineers use on- demand infrastructure to speed the creation and operation of elastic data pipelines that power sophisticated, data- driven applications.
Data engineering applications like ETL ( Extract, Transform and Load) or batch scoring are often large, batch- oriented workloads that run for a fixed period of time and help companies extract critical insights from raw data.
Organisations can gain significant f lexibility and efficiency advantages by running these pipelines on elastic infrastructure. Enterprises want to leverage cloud infrastructure alongside familiar large- scale data processing tools and technologies.
The Cloudera Altus Data Engineering service simplifies the development and operations of elastic data pipelines; putting data engineering jobs front and center and abstracting infrastructure management and operations that can be both time consuming and complex.
Altus also reduces the risk associated with cloud migrations. It provides users with familiar tools packaged in an open, unified, enterprise- grade platform service that delivers common storage, metadata, security, and management across multiple data engineering applications.
“Data engineering workloads are foundational for today’s data- driven applications,” said Charles Zedlewski, senior vice president of Products at Cloudera. “Altus simplifies the process of building and running elastic data pipelines while preserving portability and making it easy to incorporate data engineering elements into more complex BI, data science and real- time applications.”
Cloudera makes it easy, costeffective, and convenient to deploy these workloads on cloud providers, such as Amazon Web Services ( AWS), taking advantage of cloud elasticity, low- cost storage and compute options, and rapid provisioning to deliver a modern data service that can tackle even the most challenging business problems. Cloud object stores such as Amazon Simple Storage Service ( Amazon S3) are becoming increasingly popular for their resiliency, scalability, and relatively low cost.
According to IDC, public cloud deployments are now at 12 per cent of the overall worldwide business analytics software market and expected to grow at a 25 per cent compound annual growth rate ( CAGR) through 2020. Cloud is one of the fastest growing deployment environments for Cloudera customers, and Altus makes it easier than ever to run data engineering workloads in the cloud.
The initial rollout of Cloudera Altus includes support for Apache Spark, Apache Hive on MapReduce2, and Hive on Spark. It is available today in most Amazon Web Services (AWS) regions. Over time Cloudera plans to expand Altus to support other leading public clouds such as Microsoft Azure and others.