The Cloudian secure hybrid data lake is a scale-out, on-premises data repository. Shared, scalable, and secure, it can house unstructured data of all types for use cases including AI, data observability, data protection, and more. It offers a unique combination of capabilities that make it ideal for capacity-intensive workloads that require cloud-like capabilities, but in an on-premises … Read More
This blog discusses how to configure Cloudian with Dremio’s Unified Lakehouse. Dremio enhances data analysts’ ability to perform exploratory analysis and visualization, providing swift query responses. It streamlines the workflow for data engineers by allowing in-place data management within the data lake. For this example of how to connect Dremio to a Cloudian HyperStore bucket … Read More
For this example of how to connect AWS Mountpoint to a Cloudian HyperStore bucket we will be deploying and configuration the following: AWS CLI AWS Mountpoint We will be leveraging an existing Cloudian HyperStore 7.5.3 (minimum) environment and a CentOS Linux VM as a client host. Prepare HyperStore User and Bucket for AWS Mountpoint Log … Read More
Machine learning with TensorFlow requires vast amounts of data, making scalable object storage an obvious choice for the data platform. In this blog we’ll look at common TensorFlow workloads and why a Cloudian S3-compatible AI data lake is an ideal fit. And finally, how Cloudian HyperStore serves as a universal repository for all AI workloads. … Read More
A prominent global retailer faced challenges in managing the voluminous data generated by its Splunk analytics platform. To address these challenges, the company embarked on a strategic initiative to modernize its data storage infrastructure by integrating Cloudian’s S3-compatible AI data lake. This case study outlines the retailer’s journey from relying solely on HPE 3PAR/Primera Block … Read More
Enterprises today are in the thick of data-centric operations where understanding and utilizing time series data has become a fundamental aspect of business intelligence. Whether it’s system metrics, network telemetry, or IoT sensor outputs, time series data is crucial for providing actionable business insights. To analyze and visualize this complex time series data, businesses are … Read More
A leading vehicle fleet management service provider faced challenges with its existing data management infrastructure. The company employed Apache Kafka for data ingest and Hadoop for back-end data management. However, the lack of disaster recovery capabilities within the Hadoop framework prompted the organization to seek a more robust solution for their growing needs. Storage challenges … Read More
What are the use cases where object storage really stands out vs the alternative block and file storage types? In my Sales Engineering role at Cloudian, I’ve helped hundreds of customers solve their storage challenges with object storage. Here are the ten most common object storage use cases I see today, plus ten more emerging … Read More
Data management is constantly evolving, and versatility is key. Imagine this scenario: your team works on a project, with some members preferring traditional SMB or NFS protocols, while others use applications that employ object storage with the S3 API. With most storage systems, the SMB/NFS group would not be able to share data with the … Read More
The Cloudian secure hybrid data lake is a scale-out, on-premises data repository. Shared, scalable, and secure, it can house unstructured data of all types for use cases including AI, data observability, data protection, and more. It offers a unique combination of capabilities that make it ideal for capacity-intensive workloads that require cloud-like capabilities, but … Read More
