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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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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
(1-4 of 4)Companies can't remove reviews or game the system. Here's why
April 02, 2022
My Insight for Cloudera Enterprise Data Hub
Ever since I joined my current organization Cloudera Enterprise Data Hub has been a vital solution for data visualization. It offers analytics tools ranging from database, machine learning, data warehouse, and processing in one place.
- 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.
- Regulatory compliance capabilities on Cloudera Enterprise Data Hub makes it effective to protect our day-to-day business activities.
- Risk modeling and analytics tools.
- Fraud detection and cybersecurity capabilities.
- Marketing automation capabilities.
- It makes it easy to manage the entire data lifecycle by infusing AI.
- Data analysis enables us to make informed decisions.
- In-memory high speed data processing which requires zero manual procedures.
- Cloudera simplify data management by automating the entire procedure.
Cloudera is useful for working with data center architects to optimize
the effect of data and uncover its hidden value.
Cloudera offers solutions to formalize the enterprise standard database,
including data governance, management, and security operations.
Cloudera is versatile in terms of combining data management and analytics
throughout the lifecycle to collect data where it's needed.
Cloudera's adaptability extends to a wide range of scenarios, including
security, compliance, migration, and metadata management.
By detecting anomalies and reducing cyber dangers, Cloudera helps
research customer behavior, churn reduction, and business concerns.
- 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.
- Cloudera provides excellent expert support to optimize all levels of the organizational data storage process.
- By developing and executing your options for scaling in various parts of the business, Cloudera provides advice, technical and practical knowledge.
- Cloudera improves data management by leveraging the organization's data processing and analysis capabilities.
- Cloudera is competitive by bringing the simplicity of data management to the most important areas of the business.
- Cloudera manages the lifecycle of enterprise data, from the edge to AI, in any cloud or data center.
- Cloudera offers options to optimize and understand complicated scenarios, make profitable judgments, generate results, and assess business performance.
- Cloudera is useful for performing complex analysis on large amounts of data.
- Cloudera is an excellent option for turning data into a strategic asset.
- Cloudera provides control tools to manage high-speed data processing and compromise.
Cloudera is a
great choice because it provides fast streaming data for tracking, breaks down
silos by providing unified self-service platforms for data-driven insights,
secures machine learning, AI solutions, and stores self-service data, enabling
our analysts to concentrate on more important tasks like displaying critical
information.
July 19, 2017
A brief Cloudera Review
We used Cloudera to implement our big data service platform. Our team manages a central Hadoop platform where various departments were subscribed in a pay as you go model where they used it to solve various BI and analytical problems. On a day to day basis application teams used it for running Mapreduce/Tez/Spark jobs against their data set which is stored in HDFS.
- 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.
- Improvements request would take a while.
- Fast bug fixes and stability in releases are great.
- Migration to other platforms would not be that easy if you start using proprietary tools.
It was the first and best Hadoop distribution when we started years ago. But the situation changed now and if given a choice, may end up choosing something else.
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.