We use it for multiple domains, including oil & gas, finance (Morgan Stanley), and healthcare. We process around 186 TB of data per day for analytics purposes. Currently, we use it for healthcare domain.
There are a lot of use cases for the Hortonworks Data Platform. We use it alongside GPFS, so most of the information we use for operational analytics is primarily on the Hortonworks Data Platform.
Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees
Real User
2020-10-06T06:57:47Z
Oct 6, 2020
We use Hortonworks as a storage platform and then we create machine learning models and do the execution using Cloudera Data Science Workbench. (Cloudera and Hortonworks merged in January of 2019.)
Senior IT Officer- Head of Administration, System Administration Division for Unix and Linux Servers at a financial services firm with 10,001+ employees
Real User
2019-07-28T07:35:00Z
Jul 28, 2019
We use this solution to look at and manage big data. It's mostly historical data that we offload from our data warehouse, as well as from other databases in other platforms. We have two different installations. The first one is based on IBM POWER CPUs, and the other one is based on Intel CPUs. Our data center is on-premise. There is some thought on moving to a private could, or a private IBM cloud, but we have not proceeded with that as of yet.
Hortonworks actually provides a complete solution and just one user interface that can manage all the packages. It can monitor all the requirements, all the versions and additionally all the quays and all the hardware-dependent services. What I want is a useful user interface which is the reason why I currently prefer to use Hortonworks.
The Hortonworks Data Platform is acclaimed for its robust handling of big data, offering scalable solutions for data storage optimization and advanced analytics. Users benefit from its seamless processing of both streaming and batch data, and efficient maintenance of data lakes for improved governance. Key features include comprehensive security and seamless integration with existing analytics tools, significantly enhancing organizational efficiency and decision-making capabilities.
We use it for multiple domains, including oil & gas, finance (Morgan Stanley), and healthcare. We process around 186 TB of data per day for analytics purposes. Currently, we use it for healthcare domain.
We use Hortonworks Data Platform for data management, significant data ingestion, and analytics.
There are a lot of use cases for the Hortonworks Data Platform. We use it alongside GPFS, so most of the information we use for operational analytics is primarily on the Hortonworks Data Platform.
We primarily use the solution for data storage and processing.
We use this solution for the hospitality industry.
We use Hortonworks as a storage platform and then we create machine learning models and do the execution using Cloudera Data Science Workbench. (Cloudera and Hortonworks merged in January of 2019.)
We use this solution to look at and manage big data. It's mostly historical data that we offload from our data warehouse, as well as from other databases in other platforms. We have two different installations. The first one is based on IBM POWER CPUs, and the other one is based on Intel CPUs. Our data center is on-premise. There is some thought on moving to a private could, or a private IBM cloud, but we have not proceeded with that as of yet.
Hortonworks actually provides a complete solution and just one user interface that can manage all the packages. It can monitor all the requirements, all the versions and additionally all the quays and all the hardware-dependent services. What I want is a useful user interface which is the reason why I currently prefer to use Hortonworks.
We use it for data science activities.