Cloudera Data Platform (CDP)

Main article: PaaS - Platform As A Service

Cloudera Data Platform (CDP) combines Hortonworks and Cloudera technologies to create an enterprise data cloud. CDP provides self-service analytics in hybrid and multi-cloud environments, as well as complex and detailed security and management policies.

2022: Testing Cloudera CDP Private Cloud Integrated Solution and Yadro Vegman Servers

The company Systematization"" has completed testing of the hardware and software complex for processing, which is big data not inferior in characteristics of Oracle Big Data the Appliance. The company GKS announced this on February 17, 2022.

Systematics tested the software and hardware complex based on the integrated analytics and data management platform Cloudera CDP Private Cloud and Russian servers YADRO VEGMAN. Systematics experts implemented an integrated solution, configured and tested the complex. For a number of analytical tasks, the solution showed a faster speed than such a system based on Oracle Big Data Appliance.

During the test project, data was migrated from Oracle Big Data Appliance, integration with AD and Kerberos was configured, and all key mechanisms of the data processing platform were tested. The results of the project are recognized as successful, and the hardware and software complex is ready for use as a replacement for the Oracle Big Data Appliance platform.

The performance of the PAC we created meets the requirements for processing large amounts of data - both for analytical purposes and for solving information security problems. The proposed solution can be used by a large range of companies in various industries that have arrays of information coming from equipment or IoT devices and user data, "said Dmitry Kochetov, head of the technical solutions department of Systematics.

2020

Accessing Cloudera Data Platform Private Cloud

On October 9, 2020, Cloudera announced the opening of access to the Cloudera Data Platform Private Cloud (CDP Private Cloud) platform. The Private Cloud CDP transports familiar public cloud users to work with data in the local data center, allowing IT departments to respond more quickly to enterprise needs.

According to the company, working with CDP Private Cloud is easier thanks to container-based management tools that reduce the time spent on analytics and machine learning from several weeks to several minutes. In addition, this solution brings to the next level the cost-effectiveness of the data center with container-based analytics and machine learning, which help reduce infrastructure costs by increasing server utilization by up to 70%, while reducing the non-production costs of storage systems and the data center itself.

With CDP Private Cloud, IT can now meet the exponentially growing demand for data analysis services machine learning and a petabyte-scale hybrid architecture that can flexibly leverage public private and cloud. storages According to IDC October 2020, 84% of customers redistribute workloads from the public cloud, so 67% applications work simultaneously in the public and private cloud. Hybrid Cloud is an appropriate solution for large enterprises. CDP Private Cloud is designed for hybrid cloud storage, providing communication a local environment with public clouds with a single embedded system safety and management. It uses the same easy-to-use analytics as the CDP Public Cloud on and. AWS Azure

The combination of Cloudera Data Platform and IBM Cloud Pak for Data provides customers with a comprehensive data management, data engineering, and data science solution for artificial intelligence. told Daniel Hernandez, IBM CEO for Data and Artificial Intelligence

Cloudera has an ecosystem of technology partners certified on the Cloudera Data Platform, including as of October 2020 Anaconda, Gluent, H2O.ai, Owl Analytics, Pepperdata, Portworx, Precise, Protegrity, Qlik, Talend and Unravel Data.

For October 2020, the CDP Private Cloud solution is available in Base and Plus versions. The Base version includes SDX, a data warehouse and tools for analyzing data throughout their life cycle, deployed on the traditional "bare iron." This is an analogue of the CDP Data Center, which it replaces. This is also the basis for the Private Cloud CDP.

The Plus version includes a version of Base, supplemented by container-based analytics for storage (virtual DWs) and machine learning, as well as services for managing a cluster in the private cloud. Additional full data cycle management and analytics applications are planned in future versions of CDP Private Cloud.

The price of CDP Private Cloud Plus is based on computing resources and storage, which is the standard pricing for cloud solutions. The solution is available by annual subscription, which is the standard for the local. software The annual subscription to the Plus version is 400 United States dollars per computing unit (one physical kernel and 8 GB of RAM) and $25 per USA TB of address storage.

Cloudera Data Platform

For March 2020, the comprehensive management and analytics platform for local CDP IT environments includes:

• Data warehousing and machine learning services, as well as the Data Hub service for creating custom business applications based on the open source Cloudera Runtime distribution;
• Unified infrastructure, data, and analytic workload management in hybrid and multi-cloud environments
• Consistent data protection, management, and control that ensures data privacy, compliance, and threat prevention cyber security across multiple environments
• Enterprise Data Cloud architecture diagram
• 100% open source code.

Cloudera Data Flow is a scalable streaming analytics platform that receives, processes, and analyzes data in real time for key information and immediate analysis.

At the heart of Cloudera Data Warehouse cloud service

The company, Cloudera an expert on corporate, cloudy to data presented. Cloudera Data Warehouse Representatives of Cloudera reported this TAdviser at the end of February 2020. Cloudera Data Warehouse is designed for business analysts enterprises and implemented on the Cloudera Data Platform (CDP). More. here

Announcement of machine learning service for Cloudera Data Platform

The company, Cloudera an expert on corporate, cloudy to data introduced the service machine learning for the Cloudera Data Platform -. Cloudera Machine Learning Representatives of Cloudera reported this TAdviser at the end of February 2020. More. here

Launching Cloudera Data Platform (CDP)

The company, Cloudera an expert on corporate, at the cloudy to data end of February 2020 TAdviser announced the launch of the Cloudera Data Platform (CDP).

According to the developer, thanks to the Cloudera Data Platform, the IT departments of the organization are available any analytical functions in any cloud, and thanks to the security and management of enterprise requirements, they provide the speed and flexibility required by the business. CDP is an easy to deploy, manage, and use integrated data platform. It provides powerful self-service analytics in hybrid and multi-cloud environments with detailed security and management policies that IT managers need. CDP is an enterprise data approach that provides a full range of analytical capabilities - from peripheral computing to artificial intelligence (AI).

{{quote 'author
= noted Mick Hollison, Marketing Director at Cloudera|"The Cloudera Data Platform enables enterprise IT professionals to provide analytics as a service for businesses in any cloud environment, while providing extensive data protection and cost-sharing capabilities that minimize risk. CDP differs from other data platforms and analytics services in four ways:

1. Any cloud. CDP provides maximum capabilities and flexibility to manage, analyze, and experiment with data locally, in a hybrid, private cloud, and multiple public cloud environments.
2. Multifunctionality. CDP reduces time and effort to deploy common types of applications through five methods of self-service: streaming, data design, data warehouse, operating database, and machine learning.
3. Security and manageability. CDP simplifies security, privacy, and compliance for heterogeneous enterprise data in any cloud with Shared Data eXperience (SDX) technologies. SDX provides a secure "data lake" in hours, not weeks, and replaces tedious scenarios with the convenience of an "install and forget" approach.
4. Openness. CDP is a fully open source code, open computing, open storage. The platform is open to integration, enabling you to innovate quickly and eliminating vendor-specific linkages to your organization, "}}

"With Cloudera Data Platform, IT organizations can leverage hybrid data architectures and configure cloud storage in hours rather than days or weeks, providing enterprise-class security and manageability. Business users get easy-to-use, multi-purpose cloud analytics that meet their speed and flexibility needs. " noted' by Arun C. Murthy, Product Director, Cloudera

"Enterprises are rapidly deploying data platform technologies and are ready to explore and leverage the cloud to perform analytic workloads, but many face challenges trying to leverage all of their data to deliver better business results. Solutions such as Cloudera's future data platform will help enterprises navigate complex data processes across multiple clouds, leverage data management tools, and perform multifunctional analytics no matter where the data is located. " noted James Kertis, Senior Data, AI and Analytics Analyst at 451 Research

1. Cloudera Data Warehouse is a native cloud service that allows you to deploy data warehouses for business analyst groups with secure, self-service access to enterprise data.
2. Cloudera Machine Learning is a cloud-based service that enables data teams to deploy collaborative machine learning environments with secure, self-service access to enterprise data.
3. Cloudera Data Hub is a cloud service for managing and analyzing data. It enables IT professionals and developers to build their own business applications that support a variety of use cases, with secure, self-service access to enterprise data.

"Our customers are looking for solutions that enable them to leverage the full potential of data by moving data and associated workloads across the clouds of multiple cloud service providers and combining them with local data. Cloudera Data Platform offers an open and scalable approach to enterprise data that provides technical and financial flexibility. This can help our customers achieve real transformation results by providing useful and efficient data, as well as ensuring consistency between cloud and enterprise data strategies, " noted Sanjeev Vohra, Group Technology and Global Business Team Leader, Accenture Technology

"All our corporate customers are on their way to AI. But there is no AI without an AI (information architecture), which begins with how you manage the lifecycle of your data. A hybrid multi-cloud environment is an environment that you once create and work with from anywhere in your enterprise. The combination of Cloudera Data Platform and IBM Cloud Pak for Data can provide a complete architecture for this - "answer/solution/IA." IBM and Cloudera are ready to help customers - from solution organization to analytics management. Our common goal is to help customers at all stages of AI implementation, " noted' Rob Thomas, IBM CEO for Data and Artificial Intelligence

"The Cloudera Data Platform will help us manage data, interpret analytics, and bring these ideas to life through customer base segmentation so that we can better adapt how customers find, buy, and use our services." noted Gil Genio, Globe Telecom's Director of Technology and Strategy

As of March 2020, Cloudera Data Warehouse, Cloudera Machine Learning and Cloudera Data Hub cloud services are already available in. AWS The price is calculated by the type of instance and various options, CPU RAM, GPU. CDP Data Center, the CDP software option for local deployment, is offered to customers for preliminary review. It will become publicly available later in 2020. The subscription cost will be from 10,000 per node.