Cloudera features and reviews of 2020
Cloudera empowers organizations from any industry to transform complex data from any source into actionable real-time data.
Cloudera’s big data analytics software provides the insights that businesses rely upon to understand complex issues, make vital decisions, get results, and analyze their performance. This data management and analytics software offer organizations an enterprise-grade data hub — a unified platform for big data. Plus, it offers enterprise-grade data governance, security, and management that serves as a foundation for data management.
With over 30 billion connected devices, Cloudera provides tools that help users ingest, aggregate, process, and analyze generated data in real-time. Besides, the software can handle structured and unstructured data alike.
Cloudera addresses capability gaps in machine learning by guiding businesses through the feasibility, prototyping, planning, or deployment of a project. Since the right application of machine learning can drive better automation, Cloudera helps companies to understand customer’s behavior and reduce churn. Plus, it lowers business risks by spotting anomalies and reducing cyber threats.
In healthcare and life sciences, Cloudera supports providers, payers, and pharmaceutical companies with their data and analytics needs. Users in medicine and healthcare spaces use the software innovatively in genomics, clinical notes, IoT wearables, Real World Evidence, and patient risk analysis.
Advisors from Cloudera offer practical guidance on how to allocate resources, implement effective practices, avoid dead ends, and speed up development.
Cloudera’s big data analytics helps organizations with their data streaming challenges by making the process fast, secure, and traceable. This service is scalable as it can ingest, curate, and analyze data in real-time. This software also helps organizations build complex data pipelines without codes and with minimal effort.
Within seconds, Cloudera’s streaming analytics platform would process millions of data and recognize patterns in them. It then uses machine learning to make comparisons to come up with prescriptive or predictive analytics for business leaders to make. Plus, you can collect high volume data from edge devices with NiFi to set up IoT.
Cloudera’s data warehouse is cost-effective, highly concurrent, and auto-scaling analytics that can ingest data from structured and unstructured sources. This big data analytics solution can move workloads seamlessly between cloud and on-premises for reports, ad-hoc, dashboard, and advanced analytics. So, with consistent governance and security, Cloudera data warehouse supports hybrid and multi-clouds. Furthermore, it offers agile delivery with zero query wait time at a reduced cost.
Cloudera provides data-driven insights and eliminates silos through a unified platform that gives multi-function analytics. With a range of technology that includes an operational database, data warehouse, real-time streaming, and machine learning, the software provides a unified experience. Its operational database makes it possible for organizations to build real-time data-driven applications.
Cloudera uses a repeatable and scalable approach to automate the building and deployment of machine learning and artificial intelligence. The platform promotes self-service Machine Learning workflow by providing tools that simplify the process to data science teams. This is the solution to the silos formed by isolating projects in large enterprises. Cloudera’s enterprise tools and modern open platform helps clients build, deploy, and scale AI solutions securely and efficiently. So, it can transform between practical and technological standpoints.
Cloudera helps users show the economic value of their innovation. Cloudera data science workbench is a self-service system that helps enterprise users speed up their enterprise machine learning from their research phase to their production phase. This feature targets data scientists and IT professionals.
For data scientists, Cloudera’s machine learning acceleration features help them experiment faster, collaborate, and share reproducible research faster without recoding software. Besides, you can run this software in the cloud or on-premise. This ability to collaborate creates more flexibility and reduces the cost and risk of working with data in silos.
Cloudera’s data hub promotes disruption-free migrations and upgrades. The data hub allows you to use lift-and-shift to run or migrate your existing Cloudera platform to the cloud. With its auto repair capabilities, the data hub replaces failed cloud instances while maintaining its state. You can scale the capacity up or down through UI or API. The data hub can complement or augment your on-premise environment for certain scenarios that already exist on the cloud. For instance, you can enable new applications in the cloud for the benefits of having them there, while reserving the relevant or sensitive ones on-premise.
Cloudera’s big data analytics provides the solutions and tools you need to drive insights from IoT and connected devices. Its analytics and data management platform help in the processing of machine data and sensors from connected devices in real-time. This includes connected vehicles, smart cities, and healthcare analytics. So, with IoT-enabled predictive maintenance, Cloudera big data analytics helps you monitor the health of your assets. Additionally, with timely maintenance, users can predict failures and reduce equipment downtimes. Knowing ahead helps users plan corrective measures early and know the best ways to introduce these measures.
Cloudera’s cybersecurity platform offers faster behavior analytics, more advanced anomaly detection, visibility, and prevention. These features give you options for both time-series and real-time threat analysis and response protocols. It supplements a business’s existing investment in cybersecurity. Additionally, users can enable and use the platform’s machine learning and ad-hoc queries while being able to safely store, retrieve, and analyze any volume of data at scale.
Cloudera helps users optimize each stage of their data-driven journey with professional support. This platform provides advice and hands-on technical insight that enables users to launch or scale their business. So, users have access to a community and support services they can rely on to get the most benefit from Cloudera.
Cloudera offers educational services that help you perfect your big data handling skills. The professional team continually updates the training curriculum to bring users up to speed with innovation. Here, they can take advantage of classroom discussions or virtual classroom training sessions, instructor-led lectures, and hands-on lab works.
Cloudera helps businesses achieve and maintain regulatory compliance. Complying with regulations like Europe’s GDPR or CCPA helps users avoid reputation damage or potential financial penalties. Cloudera makes it easy for a user’s customers to trust the user with their information. So, to handle security risks, Cloudera helps users identify and protect sensitive customer information for compliance without disturbing that user’s business processes.
Cloudera offers fast streaming data that are traceable. It eliminates silos by providing unified self-service platforms for data-driven insights. The presence of a modern open platform helps clients to build and scale machine learning and artificial intelligence solutions securely. Cloudera helps their users form a true hybrid cloud by extending your on-premises analytics to the cloud easily, which makes it easy for data engineers to run massive data in the cloud. It also offers self-service data warehousing, thereby leaving the analysts to focus on more important things like showing critical insights.