Cloudera Enterprise Data Hub
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 …
Cloudera is useful for working with data center architects to optimize the effect of data and uncover its hidden value. Cloudera …
Useful for creating, channeling, and visualizing data from all sectors of the business. It facilitates data collection, campaign
We used Cloudera Enterprise for a data lake in order to generate value from big data. Big data stored in the data lake is used for …
We used Cloudera to implement our big data service platform. Our team manages a central Hadoop platform where various departments were …
Quaero’s data management platform (QDMP) and its AdVantage platform are built upon Cloudera’s Distribution of Hadoop (Cloudera …
I used it in lab testing. It was a great experience and greatly reduced the configuration/management time.
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 …
I used the Cloudera Enterprise in my previous company wherein I had to used the Cloudera Impala product. I have also used Cloudera Hadoop, …
I first worked with Hadoop before there was Cloudera Enterprise. I remember quite well editing files across systems and devising methods …
Cloudera was deployed in a internal APJC Lab environment to support Big Data service creation on Company's Unified Server platform. The …
I used it at AT&T Interactive for Search Engine analytic department. It is used between product development and the analytics teams
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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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Cloudera Enterprise Data Hub offers the best data set in one solution for real-time data analytics and reporting. I would highly recommend it since it makes management of clusters much easier than other alternatives which are more complex.
Cloudera excels at seamless migrations and upgrades. Cloudera supports self-healing and data center replacement of failed cloud instances while maintaining the state. Cloudera is essential to increase or decrease capacity through the user interface or API. Cloudera is great at simplifying big data analytics by providing the technology and tools needed to gain insights from IoT and connected devices to help monitor and condition our assets. Cloudera's cybersecurity platform option offers stronger anomaly detection, visibility, and prevention, as well as faster behavioral analysis. Cloudera is beneficial for enabling and utilizing the platform's machine learning and ad-hoc queries while securely storing, retrieving, and analyzing any volume of data at scale.
Cloudera is critical for constructing an organizational data center while maximizing the value of that volume of data. Cloudera is great for comprehending data and querying for valuable replies. Cloudera supports data transfer from a variety of external databases and third-party platforms.
CDH is not a replacement of RDBMS, we should think it as complementary technologies to DWH systems. CDH can be used for data lake and reduces costs too much.
I personally started my big data career by learning Cloudera Distribution and obtaining certification years ago. Comparatively, it was the only distribution worth mentioning back then, but competitors may have outgrown them as of now, the rate at which Cloudera advances in terms of quality of the product and services could be at a lower pace than they used to be. Cluster Management Interface used to be of high quality. Cloudera never supported distribution on a Windows platform where competitors do. I am not a big fan of privately owned repos mixed with open source tools. I will try to stay away from those as that may create a dependency later on.
Cloudera Enterprise offers the right mix of components to build a robust data platform which supports both reporting and analytics which can deal with all sorts of data.
I think it is the best tool to manage large environments.
It is useful for monitoring and managing numerous clusters.
It is well suited when you locally want all the Cloudera products (MapReduce/Hive/Pig/Impala/Sqoop etc) on your machine. The best thing it is free. Though Amazon EC2 and Windows Azure Virtual machines which have these products are installed are more friendly but you have to shell a lot of money on hourly basis.
A really small, sandbox installation might be better off without Cloudera Enterprise at the start. If you subsequently move to Cloudera Enterprise, the benefits will be very obvious.
Basically, the hardware platform to be used, the network design, the use case for exploring Cloudera features, the size of the clusters, the management/assurance requirements to support the solution from an enterprise perspective, any automation/interface requirements to automate provisioning and environment preparation, multitenancy deployments.
Any product dealing with huge user database and storage can benefit from Cloudera products.