Overview
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.
My Insight for Cloudera Enterprise Data Hub
Simplifies data management and analysis to solve organizational challenges.
In order to improve analysis and data management.
Cloudera Enterprise Review
A brief Cloudera Review
Best distro of Hadoop in the market
Best tool to manage Hadoop environment.
Cloudera Review
Cloudera Products, one of the best available in Big Data market
Cloudera Enterprise
Cloudera on a BigData Lab Environment
Easy Peasy Cloudera for Developers
Pricing
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?
Cloudera Enterprise Data Hub Technical Details
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Reviews and Ratings
(44)Community Insights
- Business Problems Solved
- Pros
- Cons
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.
Attribute Ratings
Reviews
(1-12 of 12)My Insight for Cloudera Enterprise Data Hub
- It is an integrated suite with all analytics engines in one place.
- Help discover data across workloads.
- Grow business by automating workflow: customer experience and marketing automation.
- Protect business through risk modeling and analysis.
- For newbies, it can be challenging to customize some features since there’s not enough documentation.
- Improve on version control.
- Cloudera enables the use of options to automate, build, and deploy machine learning and artificial intelligence.
- Cloudera helps build the self-service machine learning workflow by providing technologies that make data science easy.
- Some of Cloudera's documentation is not accurate or informative enough for newcomers.
- In terms of membership pricing, I would like Cloudera to be more profitable.
In order to improve analysis and data management.
- 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.
Cloudera Enterprise Review
- Stability
- Support
- Documentation
- More Up to date technologies(e.g. Spark 2.2)
- Data Science Workbench improvement
- Data quality tools
A brief Cloudera Review
- One of the oldest distributors of enterprise standard Hadoop.
- Distribution is based on open source Hadoop even though customizations are done on top of that.
- Faster updates and bug fixes to the products as they have Apache committers.
- Central configuration and control of your Hadoop platform (but still needs improvements).
- Not fully Open Source, couple of components of the distributions are privately owned, meaning with public contributions are not welcome
- Improvements to Cloudera manager can only be recommended. its very hard to get it done once recommended as the full control is with them.
- Should make components more aligned to Open Source rather than making it closed sourced.
- Custom Features of open source software tools supported only by Cloudera are tricky. Cant commit changes to tools like Hue.
- Improvements to Cluster Management tool is required, which are already available to its competitors.
Best distro of Hadoop in the market
- Excellent management capabilities via Cloudera Manager.
- Open source and does not restrict our data to be bound by a proprietary format.
- Offers excellent support for data governance and auditing.
- Has all the components that would help us build a data hub.
- Excellent platform support offered by Cloudera.
- More flexible pricing of the support subscription.
- Looking forward to the integration of Oozie and Impala
Best tool to manage Hadoop environment.
- Centralized configuration
- Centralized management
- Dashboard
- More help on UI options
Cloudera Review
- Massive amounts of data consumption. It is fairly easy to implement and understand how to manage a Hadoop cluster.
- Cloudera makes the management of a cluster much easier than installing and managing it with the pure Apache version.
- Lots of documentation that is easy to find if you know exactly the right version of what you are looking for. Lots of "knob" turning.
- 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 Enterprise
- Gives a view of the entire ecosystem
- Enables the management of a cluster as a cluster, not individual servers
- Eliminates the possibility of manual error executing complex administration tasks
- I have no suggestions...yet.
Cloudera on a BigData Lab Environment
- Cloudera was able to help the deployment of nodes and consistency on the content deployment across multiple server blades.
- As any new technology, difficult to hire resources who know the solution specially in APJC to help with Lab and PoC activities.
Easy Peasy Cloudera for Developers
- Quick search and sort
- Fast response time
- Big Data management
- Ability to make easy to program the Map Reduce jobs
- Ability to easily administer with an easy to use UI