Cloudera now launches Big Data Platform as a Service (PaaS) to tackle competition
In a bid to simplify big data workloads, Palo Alto headquartered Cloudera, one of the leading data management companies unveiled Cloudera Atlus at a Strata Data conference in London. The Platform-as-a-Service (PaaS) makes it easier to run large-scale data processing applications on public cloud. To put things in perspective, Cloudera Altus Data Engineering simplifies the development and operations of elastic data pipelines puts data engineering jobs front and center and abstracting infrastructure management and operations that can be both time consuming and complex it 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 According to Charles Zedlewski, senior vice president of Products at Cloudera, “Data engineering workloads are foundational for today’s data-driven applications. 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.” For the initial initial rollout of Cloudera Altus includes support for Apache Spark, Apache Hive on MapReduce2, and Hive on Spark.  In today’s big data environment, snack-sized computing services are on the rise, cites a prominent news report. In a bid to counter container technology and serverless computing Cloudera launched Atlus that offers Hadoop and Spark support alongside a built-in workload management model. According to an IDC report, public cloud deployments are now at 12% of the overall worldwide business analytics software market and expected to grow at a 25% CAGR through 20201. – James Curtis, senior analyst, data platforms and analytics, from 451 research adds, “Data and analytics, particularly in the cloud, continues to be one of the most significant areas of growth and investment for many enterprises. But organizations also faces challenges with cloud-based cluster management, data processing, and migration, which is right where Cloudera is focusing its efforts with Altus.”
In a bid to simplify big data workloads, Palo Alto headquartered Cloudera, one of the leading data management companies unveiled Cloudera Atlus at a Strata Data conference in London. The Platform-as-a-Service (PaaS) makes it easier to run large-scale data processing applications on public cloud. To put things in perspective, Cloudera Altus Data Engineering simplifies the […]
Cloudera latest offering, Platform as a Service (PaaS) makes it easier to run large-scale data processing applications on public cloud.
["big data platform c++", "Cloud Platform"]
["big data", "data science", "AI", "data pipeline", "Apache Spark", "serverless", "RAG", "big data platform c++", "data engineering", "analytics", "R", "Cloud Platform"]
["AI", "data science", "analytics", "RAG", "serverless", "Apache Spark", "R", "big data", "data engineering", "data pipeline"]
Richa Bhatia is a seasoned journalist with six-years experience in reportage and news coverage and has had stints at Times of India and The Indian Express. She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world.