As mentioned at previous posts, Bitnine develops and supplies the most powerful and fastest big data platform with Cloudera; our partnership and top of global big three Hadoop based solution companies. Also, Bitnine Analytics provides the continuous integration, latest technology as distributed parallel processing, and security management with the world’s leading IT companies.
Cloudera provides a scalable, flexible, integrated platform that makes it easy to manage rapidly increasing volumes and varieties of data in the enterprise. Cloudera products and solutions enable customers to deploy and manage Apache Hadoop and related projects, manipulate and analyze customer’s data, and keep that data secure and protected.
CDH: Cloudera Distribution including Apache Hadoop
CDH is the most complete, tested, and popular distribution of Apache Hadoop and related open-source projects, including Apache Impala and Cloudera Search. CDH delivers the core elements of Hadoop – scalable storage and distributed computing – along with a Web-based user interface and vital enterprise capabilities. CDH is Apache licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL and interactive search, and role-based access controls.
It also includes various related projects like HBase, Apache Pig, Apache Hive, Flume, Oozie, Apache Sqoop, Apache ZooKeeper, and others. CDH delivers everything customers need for enterprise use right out of the box. By integrating Hadoop with more than a dozen other critical open source projects, Cloudera has created a functionally advanced system that helps customers perform end-to-end Big Data workflows.
Key benefits of CDH
- Flexibility : Store any type of data and manipulate it with a variety of different computation frameworks including batch processing, interactive SQL, free text search, machine learning and statistical computation.
- Integration : Get up and running quickly on a complete Hadoop platform that works with a broad range of hardware and software solutions.
- Security : Process and control sensitive data.
- Scalability : Enable a broad range of applications and scale and extend them to suit customer’s requirements.
- High availability : Perform mission-critical business tasks with confidence.
- Compatibility : Leverage customer’s existing IT infrastructure and investment.
EDH: Cloudera Enterprise Data Hub
An enterprise data hub has emerged as a powerful new platform at the center of modern data strategy. It can collect and store unlimited data, cost-effectively and reliably, and enable diverse users to quickly gain value from that data through a collection of frameworks that span data processing, interactive analytics, and real-time serving applications. With an enterprise data hub, it is now possible to deliver integrated analytic solutions for less cost and effort than ever before.
Cloudera Enterprise, powered by Apache Hadoop and Apache Spark at the core, enables an enterprise data hub together with the security, governance, management, support, and commercial ecosystem required for production success.
EDH combines unlimited storage with diverse access to data through batch-or stream-processing, interactive SQL, search, or advanced analytics. EDH from Cloudera is the fastest, easiest, and most secure way to transform the data architecture – removing all barriers so customers can take advantage of all their enterprise data.
Key benefits of EDH
- Managed Unlimited Data:
An enterprise data hub can store unlimited data, in its original formats and fidelity, for as long as customer need. As a data staging area, it can not only prepare data quickly and cost-effectively for use in downstream systems, but also serves as an automatic compliance archive to satisfy internal and external regulatory demands. Unlike traditional archival storage solutions, an enterprise data hub is an online system: all data is available for query.
- Accelerate Data Preparation and Reduce Costs:
Increasingly, data processing workloads that previously had to run on expensive systems can migrate to an enterprise data hub, where they run at very low cost, in parallel, much faster than before. Optimizing the placement of these workloads and the data on which they operate frees capacity on high-end data warehouses, making them more valuable by allowing them to concentrate on the business-critical OLAP and other applications for which they were designed.
- Explore and Analyze, Fast:
Above all else, an enterprise data hub enables analytic agility. IT can provide analysts and data scientists with a self-service environment to ask new questions and rapidly integrate, combine, and explore any data they need. Structure can be applied incrementally, at the right time, rather than necessarily up front. Not limited to standard SQL, an enterprise data hub offers options for full-text search, machine learning, scripting, and connectivity to existing business intelligence, data discovery, and analytic platforms. An enterprise data hub finally makes it cost-effective to run data-driven experiments and analysis over unlimited data.
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