US based software giant ‘Cloudera’ recently at the Strata Data conference in London, revealed a new platform as a service (PaaS) solution called Altus. The platform is said to be a good move as it could be capable of making it easier for businesses to run big data workloads in the cloud.
The platform said to be rely on on-demand infrastructure to assist users to quickly build scalable, elastic data pipelines that power the kind of applications driven by big data workloads, according to a press release announcing the product. As many of these apps utilize batch-oriented workloads that only run for a certain amount of time, using elastic infrastructure, organizations can level out to grip the data pipeline workloads, as needed, adding suppleness, the release said.
The promise of the cloud is built on concept and Altus hunt for to abstract the management and operation associated with big data infrastructure, as well as the infrastructure itself. According to the release, Altus helps to provide features like metadata, security, management, and common storage "across multiple data engineering applications."
"Data engineering workloads are foundational for today's data-driven applications," Charles Zedlewski, senior vice president of products at Cloudera, said in the release. "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."
Thus, through Altus, data engineers can provision popular open source tools like Apache Spark, Apache Hive, Hive on Spark, and MapReduce2 in a cloud-native environment, the release said. Well that’s not all; Altus also provides default cluster settings for faster deployment time, easier management and simple automation. Currently available only on Amazon Web Services (AWS), it will eventually make its way to Microsoft Azure.
The release also stated that Altus works with numerous versions of Cloudera Distributed Hadoop (CDH), and the service also provides built-in workload management to perk up troubleshooting.
"Data and analytics, particularly in the cloud, continues to be one of the most significant areas of growth and investment for many enterprises," James Curtis, senior analyst for data platforms and analytics at 451 Research, said in the release. "But organizations also face challenges with cloud-based cluster management, data processing, and migration, which is right where Cloudera is focusing its efforts with Altus."
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