Cloudera: enterprise data cloud from edge to AI
The company’s solutions include multi-functional data analytics optimised for any cloud environment, while its Cloudera Data Platform is an integrated analytics and data management tool. The Cloudera Data Platform combines data warehouse and machine learning services with data security, governance and other controls.
Recently, the company announced the upcoming Summer launch of its Cloudera Data Platform Private Cloud for hybrid cloud, allowing the easy connection of on premise environments to public clouds, with built-in security measures.
In , Mick Hollison, chief marketing officer, Cloudera, said: “It has never been clearer that every enterprise needs to be a data-driven business and the data platform at its foundation must be agile, fast and efficient with a full range of capabilities from the Edge to AI,” said. “The launch today of CDP Private Cloud is the culmination of the vision for an enterprise data cloud that allows businesses to navigate complex data processes across multiple clouds, manage data governance, and enable multi-function analytics, regardless of where the data resides.”
The company’s customers include the likes of Lufthansa Technik, Deutsche Telekom and Navistar, with Cloudera highlighting the fact that all of the top 10 telecommunications and technology companies use its services, alongside nine of the top 10 pharmaceutical and eight of the top 10 financial services organisations.
Cloudera has assisted in the data journeys of many companies, establishing Big Data platforms and building lasting alliances, as Zjaen Coetzee, Head of Data Insights Management at leading South African communications provider Telkom, : “Cloudera has played an influential role and assisted in shaping the roadmap and strategy for expansion, as well as increasing capabilities”
Confluent announces new private cloud building platform
Confluent, a platform that sets data in motion, today announced Confluent for Kubernetes, the first platform purpose-built to bring cloud-native capabilities to data streams in private infrastructures.
Confluent for Kubernetes allows platform teams to bring much of the same cloud-native experience found within Confluent Cloud to their self-managed environments while enabling operations teams to retain control of their data and infrastructure. As a cloud-native solution, Confluent for Kubernetes helps achieve faster time-to-value and reduce operational burdens with a fully elastic and scalable cloud-native experience in private infrastructure.
“To compete in the digital realm, organisations need to quickly deliver personalised customer experiences and real-time operations, which are only possible with access to data from all environments and cloud-native advantages,” said Ganesh Srinivasan, Chief Product and Engineering Officer, Confluent.
“For organisations that need to operate on-premises, we’re bringing the benefits of cloud computing to their private infrastructure with Confluent for Kubernetes. Now, any company can build a private cloud service to move data across their business regardless of its environment.”
How can Confluent for Kubernetes help?
Organisations who are transitioning to the cloud or who need to keep workloads on-premises can use Confluent for Kubernetes’ cloud-native capabilities, including a declarative API to deploy and operate Confluent. According to the company, the platform also makes moving applications to the public cloud easier by ‘seamlessly migrating workloads to wherever your business needs them with the ability to connect and share data with Confluent Cloud’.
Enhanced reliability – As a cloud-native system, Confluent for Kubernetes detects if a process fails and will automatically restart processes or reschedule as necessary. Automated rack awareness spreads replicas of a partition across different racks, improving the availability of your brokers and limiting the risk of data loss.
Automated elasticity – Meet changing business demands with the ability to scale up using API-driven operations. The platform will automatically generate configurations, schedule and run new broker processes, and ensure data is balanced across brokers so that clusters can be efficiently utilised.
Simplified infrastructure management – Confluent for Kubernetes extends the Kubernetes API, enabling organisations to define the desired high-level state of clusters rather than manage all the low-level details. This infrastructure-as-code approach reduces the operational burden and achieves a faster time to value, while enhancing security with standards that can be easily and consistently deployed across an organisation.