California-based data management platform company Cloudera on Wednesday updated its key metadata management solutions for enterprises to reduce the cost and risk of data breaches. Cloudera, metadata management solutions, AI, Hypertext Transfer Protocol, latest news on cloudera
The company has integrated its Apache Iceberg, an open-source table format designed for managing large, complex datasets in distributed data environments, with REST (Representational State Transfer) Catalog that manages table metadata over the internet using standard HTTP (Hypertext Transfer Protocol) methods.
Simply put, enterprises these days are looking for secured and scalable data management solutions that enable innovation with third-party tools without vendor lock-in. By integrating with a REST catalog, Iceberg can store and retrieve metadata over HTTP, making it easier to work with different data services and platforms without being restricted to a specific catalog implementation.
The updated solutions will simplify data access, maintain data permissions and reduce data breach risks through encrypted data transfers, centralized controls, according to analysts.
"Unified data and interoperability has, and continues to be, central to Cloudera's open data lakehouse architecture across hybrid clouds," said Dipto Chakravarty, chief product officer at Cloudera. "Our platform delivers unmatched scalability, performance, resilience, and cost-efficiency for managing expanding metadata, without vendor lock-in or data silos," Chakravarty said.
According to Chakravarty, by adhering to open standards, Cloudera is ensuring seamless integration and interoperability across any ecosystem so enterprises can make the most of their AI investments.
The company said the latest updates will help enterprises reduce total cost of ownership by optimising metadata management.
Metadata is data that describes other data. In a database, Metadata includes the schema, tables, columns, data types, and relationships between tables.
"There is no moat bigger than your corporate data. Considering this, organisations are asking for a unified way to access and govern every data asset - structured and unstructured, in every location - on-premises and multi cloud, and at every velocity - batch or streaming," said Sanjeev Mohan, an industry analyst.
"Data leaders want a consistent view of data by leveraging open table formats and applying a consistent set of policies regardless of where the content resides," Mohan said.
Cloudera, which in FY24, passed the $1 billion revenue mark, works with enterprises across sectors such as financial services, insurance, media, manufacturing, among others, to transform data of all types, on any public or private cloud, into valuable, trusted insights.
In India, the company counts PhonePe, BSE, Bharti Airtel, among key customers.
At a time when companies are leveraging generative AI, data management is critical to train their models right and also leverage better data insights to tap end-users. According to a survey by Cloudera on 600 IT leaders globally, many enterprises are still lacking the necessary data infrastructure and employee skills to truly benefit from AI.
