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Quaero's data management platform, powered by Cloudera Enterprise, offers a comprehensive solution for businesses in the media industry. …
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What is Cloudera Enterprise Data Hub?
The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.
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What is Cloudera Enterprise Data Hub?
The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.
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What is Cloudera Enterprise Data Hub?
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Quaero's data management platform, powered by Cloudera Enterprise, offers a comprehensive solution for businesses in the media industry. Its versatility, robust features, and adaptability make it a valuable asset for optimizing data and uncovering hidden insights. Cloudera Enterprise has proven instrumental in various use cases, including research on customer behavior, churn reduction, and cybersecurity measures. By detecting anomalies and reducing cyber dangers, Cloudera helps businesses safeguard their operations. The platform also facilitates critical processes like data collection, campaign management, audience segmentation, predictive analytics, and data cleansing.
Cloudera Enterprise's scalability is particularly noteworthy, enabling businesses to handle large datasets effectively. With its high-volume processing capabilities, efficient data storage, and powerful visualization tools, teams can automate complex data pipelines and build data-driven applications while maintaining governance, security, and control throughout the entire data lifecycle. Customers appreciate the comprehensive set of tools provided by Cloudera Manager for simplified administrative tasks such as file editing across systems, user access privilege management, and package management, enhancing productivity within organizations.
Real-world use cases of Cloudera Enterprise span across different industries, including successful deployments in the Search Engine analytic department at AT&T Interactive and the creation of Big Data services on unified server platforms. Cloudera Enterprise offers flexibility in running Mapreduce/Tez/Spark jobs against large datasets stored in HDFS through a pay-as-you-go model. It serves as a central hub for generating value from big data by acting as a data lake, fueling data science projects such as churn prediction and recommendation engines. In lab testing environments, Cloudera Enterprise has significantly reduced configuration and management time, streamlining processes. With its intuitive graphical interface, Cloudera Enterprise simplifies administrative tasks and enhances the overall user experience.
Excellent Management Capabilities: Many users have praised Cloudera Manager for its excellent management capabilities, making it easy to effectively manage a Hadoop cluster. They appreciate the user-friendly interface and robust features that allow them to efficiently monitor and control their cluster's performance, resource allocation, and configuration.
Comprehensive Solution: Several reviewers appreciate that Cloudera provides all the necessary components to build a data hub, making it a comprehensive solution for their needs. With Cloudera, they can seamlessly integrate different tools and technologies required for data processing, storage, and analysis. This eliminates the need for piecemeal solutions and simplifies the overall setup and maintenance of their infrastructure.
Data Discovery and Automation: Users have mentioned that Cloudera helps them discover data across workloads and enables them to automate workflows. Some users specifically mention customer experience and marketing automation as areas where Cloudera excels in automating processes. They highlight how these capabilities enhance efficiency by reducing manual efforts in data exploration and streamlining repetitive tasks. This empowers businesses to harness the full potential of their data while saving time and resources.
Challenging customization: Some users have found it challenging to customize certain features of Cloudera due to inadequate documentation and a lack of informative resources for newcomers. They have expressed frustration in trying to understand how to modify these features without clear instructions or guidance.
Expensive membership fees: Several reviewers have mentioned that they find Cloudera's membership fees to be expensive, suggesting that they could be more profitable compared to other competing technologies. This has led some users to question the value they are receiving for the price they pay.
Lack of knowledgeable resources: Users in the APJC region have expressed difficulty in finding resources knowledgeable in Cloudera solutions for Lab and PoC activities, highlighting a need for improved support in this area. They feel that there is a shortage of experts who can provide assistance and guidance when dealing with complex issues or specific use cases.
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Reviews
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March 11, 2022
In order to improve analysis and data management.
Useful for creating, channeling, and visualizing
data from all sectors of the business.
It facilitates data collection, campaign
management, audience segmentation, predictive analytics, and data cleansing.
Supports high-volume processing, data storage,
and data visualization.
It helps teams automate complicated data
pipelines and build data-driven applications while ensuring governance,
security, and control throughout the data lifecycle.
- Cloudera excels at consolidating existing data clusters without interfering with application performance.
- Cloudera simplifies operations by providing separate compute containers that can be individually configured or upgraded based on the needs of each department in a common cluster.
- Cloudera membership fees are expensive; I think they could be more profitable than competing technologies.
- Using real-time data, Cloudera is ideal for managing marketing operations, automation, audience targeting, churn prevention, and customer retention.
- Cloudera enables hybrid deployments, to take advantage of deployment flexibility and accessibility to work with data from any location.
- Cloudera provides visibility throughout the data lifecycle.
- Due to its open architecture, it allows modification.
- It can be used to make data-driven business decisions that increase efficiency, minimize risk, and provide new insights.
- Reduce costly data silos by performing many data analysis operations on the same data at the same time, directly at the source.
Cloudera is
compatible with Windows operating systems, and Mac allows cloud-based
deployment, it is also very useful to configure data encryption, guarantee
protocols, and security policies. It also provides integrated auditing and
monitoring capabilities, as well as a control comprehensive data repository for
the enterprise, and ensures vendor compatibility through its open-source
architecture.
Score 7 out of 10
Vetted Review
Verified User
I used the Cloudera Enterprise in my previous company wherein I had to used the Cloudera Impala product. I have also used Cloudera Hadoop, Hive, Sqoop, Pig, Mahout etc. Since my project had requirement for trying different tools available in market, we were doing research on which tool is the best, thats where we landed on Cloudera Enterprise products. It is used only in my department. To address the shareholder data in files from different suppliers which needs to be processed via MapReduce framework.
- Wide range of Products available on Cloudera which runs on MapReduce framework.
- Easy to install on Virtual Machines. All the products are available on the website and steps for installation are easily available and well documented with examples and case scenarios.
- All the products with latest versions are available which can be easily installed via yum.
- Cloudera Impala which the fastest way to query the HDFS without using MapReduce framework. This is freely available on their website while with Amazon EC2 machines and Windows Azure you have to shell some money for using their machine.
- Some of the previous versions have compatibility issues with latest CentOS Virtual machines. So you have to take care of the Cloudera product's versions as well as CentOS version.
- Compatibility issues with installation on Mac. Everything is Linux based so user has to have good knowledge of Linux commands.
- GUI's are missing
- I ended up spending time on matching the exact Cloudera product version with CentOS version. So had invested a lot of time in installtion/uninstallation of these products until u match/find the exact version. I had issues while installing Impala maybe it was new when i had a chance to work on Cloudera Impala.
- Cloudera products are the most widely. It is more business friendly as data is more secure. The sensitive data that you operate on is local to you and your project rather than processing this data on Cloud.
- Cloudera is definitely faster as wait time is reduced if on Cloud.
- A lot range of products are covered. So it is definitely good for businesses and had good returns on investments.
I have used Amazon Elastic Cloud Compute EC2, Windows Azure. But the difference with these products and Cloudera is Amazon and Azure are more costly. But Cloudera is best because of Data sensitivity and privacy. We have all the shareholder activity data for funds that business uses after applying business rules on that data. Hence sensitivity is the most useful factor which Cloudera products provide us.