Cloudera, Inc., the modern platform for machine learning and analytics optimized for the cloud, announced the availability of Cloudera’s most powerful platform for data warehousing and machine learning - Cloudera Enterprise 6.0.
Cloudera also announced Cloudera Altus hybrid cloud innovations that unify control and governance of long-running and transient workloads on public clouds and data centers, managed by customers or as-a-service by Cloudera.
These new platform enhancements help accelerate enterprise expansions of data warehousing and machine learning applications by increasing cloud deployment choice and giving IT confidence and control of those options. Coupled with the general availability of recently announced innovations in data warehousing performance, hybrid data warehouse-as-a-service, and intelligent workload experience management, Cloudera is demonstrating its commitment to continued technology innovation and leadership in data warehousing and machine learning at scale.
“With the explosion of data driven by IoT and digital transformation, businesses require fast access to data wherever it may reside. The most valuable asset all businesses have today is their data,” said Tom Reilly, chief executive officer of Cloudera. “With Cloudera Enterprise 6.0, our customers can unlock value from their data faster across their data centers and the public cloud. Our modern machine learning and analytics platform - hybrid by design - lets you build and deploy AI solutions at scale, efficiently and securely, anywhere you want.”
Increased performance for SQL, real-time and streaming workloads at scale
Cloudera Enterprise 6.0 delivers advances in performance and enterprise quality, with innovations in search, streaming, scale, and control—all designed to help enterprises operationalize data insights faster. Unlike competing data platforms that package unproven and often untested open source components, Cloudera carefully curates, integrates, and tests its hybrid open source platform against real enterprise use cases to ensure it meets the most demanding customer standards.
The latest release is Cloudera’s most powerful platform for mission-critical data warehousing and machine learning applications, capable of running on-premises, in the cloud, wherever the data resides. Release 6.0 delivers performance improvements for SQL, real-time, and streaming workloads and adds full-text search capabilities for data warehousing.
The release also makes it easier to efficiently and securely manage more nodes - up to 2,500 by a single Cloudera Manager instance - with fewer resources, reducing administrative overhead and infrastructure costs, while increasing confidence in continued expansion of large-scale deployments.
Fred Koopmans, Cloudera’s VP product management, shares how Cloudera Enterprise 6.0 can make data analysts, data scientists, and developers more productive, efficient, and effective in the cloud or on-premises.
Cloudera Altus and SDX deliver hybrid control of long-running and transient workloads across clouds and data centers
The integration of Cloudera SDX and Cloudera Altus public cloud management technologies provide customers maximum cloud flexibility, enabling enterprise IT to control workloads anywhere, managed any way, and deliver a shared data experience business and data professionals demand. Enterprises typically cite security, governance, and complexity among their primary reasons for not moving their operational workloads to the public cloud. Cloudera SDX (shared data experience) provides unified metadata control, simplifies administration, and maintains context as well as data lineage across storage services, workloads, and operating environments. SDX makes it possible for critical metadata such as security and governance policies and business definitions to be set once, applied to workloads anywhere, and persist on public cloud infrastructure.
Altus hybrid cloud control integrated with SDX allows long-running and transient workloads, managed as-a-service by Cloudera or managed as part of a customer’s Cloudera deployment, to have immediately available data context; making it easier to share, trust, and audit data-driven activities while also reducing the impact on operational overhead. (Source: Cloudera)