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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
(1-7 of 7)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.
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.
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.
February 04, 2015
Best distro of Hadoop in the market
Score 10 out of 10
Vetted Review
Verified User
Quaero’s data management
platform (QDMP) and its AdVantage platform are built upon Cloudera’s Distribution of Hadoop (Cloudera Enterprise). The AdVantage platform is targeted for clients in the media industry to better
understand their audience, enhance engagement, create richer experiences, and
increase overall audience value. Quaero has deployed
the platform across several clients in the media industry (ranging in ingestion
volume from ~3MM to ~1.5 Billion records
per day).
- 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
May 24, 2014
Best tool to manage Hadoop environment.
Score 8 out of 10
Vetted Review
Verified User
I used it in lab testing. It was a great experience and greatly reduced the configuration/management time.
- Centralized configuration
- Centralized management
- Dashboard
- More help on UI options
May 22, 2014
Cloudera Review
Score 5 out of 10
Vetted Review
Verified User
The ability to monitor and manage numerous Hadoop clusters from one tool. It is an easy way to learn and use REST API and Python client library. It is also easy to use the graphical interface to manage the health of our clusters. It also makes the install process on numerous nodes easy.
- 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.
May 01, 2014
Cloudera on a BigData Lab Environment
Score 8 out of 10
Vetted Review
Verified User
Cloudera was deployed in a internal APJC Lab environment to support Big Data service creation on Company's Unified Server platform. The professional services organization was trying to create services to leverage the server product line services in the region.
- 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.