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Tag: Cloudera

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Cloudera Achieves PCI DSS 4.0 Compliance to Unlock Business Value from AI for Financial Institutions

Aug 27, 2024 by Sujata 0 Comments #AI, #Business Value, #Cloudera, #Financial Institutions

India — August 27, 2024: Cloudera, the only true hybrid platform for data, analytics, and AI, announced it has achieved Level 1 compliance with the Payment Card Industry’s (PCI) Data Security Standard (DSS) for Service Providers. This certification demonstrates Cloudera’s commitment to cybersecurity and compliance in its mission to help financial institutions unlock business value from AI. With this milestone, Cloudera’s Platform as a Service (PaaS) and Private Cloud (PVC) are both PCI DSS v4.0 compliant, the newest major version of the framework.

PCI DSS standards define rigorous security controls and processes for entities involved in the payment ecosystem, as well as requirements for developers and solution providers to build and securely manage payment devices, software, and solutions for the payment industry.

As the rise of e-commerce has rapidly scaled the amount of data that financial institutions have under management, the need to protect that data has grown as well. According to the International Monetary Fund’s 2024 Global Financial Stability Report, the financial sector is the target for one-fifth of all cyber-attacks, and this risk is largely driven by its dependence on third-party IT providers. Certification with the most recent security standards for the PCI is a testament to Cloudera’s ability to quickly adapt to the latest financial sector security requirements, where threats are constantly evolving and becoming more sophisticated.

AI has also transformed the financial sector in recent years, with financial institutions adopting virtual assistants, creating synthetic data for model training, generating research reports and investment summaries, and harnessing machine learning for fraud detection. As the vendor to eight of the top 10 global banks, Cloudera helps financial institutions harness the power of AI and Generative AI while navigating the associated risks, providing a secure environment for managing the vast volumes of data needed to train AI models.

“The financial services industry is undergoing significant digital transformation, and the ability to work with trusted third-party solution providers is critical to success” said industry analyst, Sanjeev Mohan. “Financial institutions can view compliance with rigorous frameworks, like PCI DSS 4.0, as an indicator that the partner they’re choosing to work with is one that can securely navigate the complexities of their data and thrive in this AI-powered future.”

“Cloudera’s achievement of this certification is a testament to our commitment to our financial sector customers,” said Natalia Belaya, Cloudera’s Chief Information Security Officer. “We strive to provide and maintain a secure and trusted platform to support our customers with evolving data initiatives and empower them to unlock greater value from AI.”

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Cloudera Unveils New Observability Offerings for On-Premises and Public Cloud Data Centers

Jul 12, 2024 by Mansi 0 Comments #Cloudera, #Dipto Chakravarty, #Public Cloud Data Centers, #Sanjeev Mohan

India– July 12, 2024 – Cloudera, the only true hybrid platform for data, analytics, and AI, today announced two new offerings for Cloudera Observability Premium designed to simplify and automate platform administration. These premium tier features provide a single source of observability across all cloud-based and on-premises data centers, even for the most secure enterprises.

With the increasing demand for strategic insights from technologies like GenAI and the rise of data privacy and security regulations, there is an increasing need for full visibility into enterprise data sources and workflows. Cloudera’s expanded Cloudera Observability suite empowers enterprises with highly secure networks to operate observability entirely within their data centers or on the public cloud.

Cloudera’s two new solutions in its Cloudera Observability suite include:

● Cloudera Observability Premium On-Premises allows customers with highly secure networks to run observability entirely within their data centers. This solution ensures optimal monitoring, troubleshooting, financial governance, data observability, and automated actions, even in air-gapped configurations.

● Cloudera Observability Premium for Public Cloud Data Hub extends all the advanced premium capabilities to public cloud users, including real-time monitoring, advanced financial governance, automated actions, and data observability.

With the addition of both these offerings, enterprises can now leverage high-value features such as real-time monitoring for Data Hub clusters, jobs, and queries, financial governance with new cost factors and capacity forecasting, workload views, alerts, and automated actions, along with data observability with hot and cold table analysis. These features aim to maximize investment, streamline self-service troubleshooting, and enhance visibility into resource costs and usage.

“Real-time correlations and contextual information are essential for identifying optimization points and potential bottlenecks along with prescriptive recommendations,” said industry analyst, Sanjeev Mohan. “Implementing advanced observational capabilities is critical for enterprises as they provide real-time system insights that enable proactive issue resolution and enhance security, ultimately leading to operations and reduced risks. Cloudera’s expanded Observability offering enables enterprises to tackle this head on by building a new standard for hybrid data observability across on-premises and public clouds.”

This release is a key expansion for Cloudera Observability, designed to continuously discover and collect performance telemetry data across applications, services, and infrastructure components running in enterprises’ Cloudera environments.

“There is immense pressure on enterprises today to better manage data resources and efficiently leverage data across the organization,” said Dipto Chakravarty, Chief Product Officer at Cloudera. “Cloudera Observability helps enterprises maximize cost-efficiency, enhance performance, and unlock intelligent insights. The new premium additions deepen these insights for enterprises and builds on our commitment to help customers take back control of their data, analytics, and AI.”

Cloudera will be demonstrating its latest series of updates at booth #643 at the AWS NYC Summit, taking place July 10, 2024, at the Jacob Javits Convention Center. Attendees will see the power of Cloudera’s new premium observability offerings firsthand and speak to experts onsite about how Cloudera is the only true hybrid open data lakehouse that brings analytics and AI to business data.

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Cloudera announces Data-in-Motion products will be made available as Kubernetes Operators for Red Hat OpenShift

May 8, 2024 by Sujata 0 Comments #Cloudera, #Data-in-Motion, #Dipto Chakravarty, #Tushar Katarki

INDIA, May 8, 2024 – Cloudera, the data company for trusted enterprise AI, today announced Cloudera Flow Management – Kubernetes Operator and Cloudera Streaming – Kubernetes Operator, allowing customers to deploy Apache NiFi, Apache Kafka and Apache Flink clusters on Kubernetes application platforms such as Red Hat OpenShift, the industry’s leading hybrid cloud application platform powered by Kubernetes. With these upcoming Kubernetes Operators, customers can more easily deploy end-to-end data streaming capabilities on their existing Kubernetes clusters and benefit from auto-scaling, efficient resource management as well as streamlined set up and operations.

Cloudera’s Data-in-Motion offerings provide the connective tissue between all enterprise data assets, delivering streaming data and real-time insights to any target system or application. Cloudera Flow Management – Kubernetes Operator and Cloudera Streaming – Kubernetes Operator reduces operational overhead by utilizing the proven operator pattern that Red Hat OpenShift users are familiar with.

“We’re excited to be among the first to offer operator and commercial support for organizations looking to run Apache NiFi data flows on Red Hat OpenShift,” said Dipto Chakravarty, Chief Product Officer at Cloudera. “Cloudera Flow Management customers and open source users who move to Kubernetes operators will immediately benefit from auto-scaling flows and streamlined cluster setup and operations.”

Tushar Katarki, senior director, Product Management, Hybrid Cloud Platforms, Red Hat, said, “Red Hat is committed to enabling organizations with open source technologies across hybrid cloud environments. We are pleased to collaborate with Cloudera to help customers deploy streaming pipelines to speed up innovation projects and scale on Red Hat OpenShift.”

“DataSQRL makes it simple and fast to build streaming data products and real-time AI applications on top of Cloudera Data Platform by eliminating data integration and data plumbing. We are excited about our collaboration with Cloudera and their new Streaming Kubernetes Operator, which helps manage and operate the underlying technologies needed for these applications,” said Matthias Broecheler, CEO & Founder at DataSQRL.

The Data-in-Motion products available as Kubernetes Operators to run on Red Hat OpenShift are in tech preview and will be generally available in 2H 2024. After downloading the binaries from Cloudera’s repository, customers can immediately proceed with installing the Kubernetes Operator on their Red Hat OpenShift cluster and create their first NiFi, Kafka or Flink clusters configured to their liking.

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Cloudera announces strategic partnership with Aboitiz Data Innovation to collaborate and accelerate Generative AI capabilities

May 3, 2024 by Sujata 0 Comments #Aboitiz Data Innovation, #AMP, #Cloudera, #Dr. David R. Hardoon, #Remus Lim

India, May 3, 2024 – Cloudera, the data company for trusted enterprise AI, today announced a strategic partnership with Aboitiz Data Innovation (ADI), a forward-thinking data science and AI specialist. Cloudera’s true hybrid data platform for data, analytics, and AI and machine learning solutions, combined with ADI’s rich experience in Apache Spark and successful deployment of AI-powered solutions, will empower financial services and industrial customers in Asia Pacific to more effectively operationalize data science and AI across diverse business verticals. ADI will provide consultancy and implementation services on Cloudera software in the areas of enterprise AI/ML/AI Lab, data governance and ethics.

The collaboration with ADI will explore powerful generative AI (GenAI) applications within Cloudera solutions using Accelerators for Machine Learning Projects (AMPs) and offering end-to-end examples, jumpstarting any enterprise’s machine learning (ML)/GenAI development journey. These customizable solutions enable organizations to more quickly and intuitively build, adapt and deploy GenAI applications for specific use cases, spanning data ingestion, engineering, data lake design, data quality, ML model and app development and operational efficiency.

“ADI will build GenAI solutions on Cloudera’s platform, helping customers turn AI hype into business reality,” said Remus Lim, Senior Vice President for Asia Pacific and Japan at Cloudera. “In addition to delivering powerful GenAI capabilities and performance to customers, the results of this partnership will empower enterprises to make more accurate and timely decisions, making data and advanced AI processes easier and faster across the enterprise, increasing revenue generation and optimizing cost. We look forward to supporting our customers in deploying AI at scale across the enterprise.”

“As we embark on this strategic partnership with Cloudera, we’re ready to unlock new dimensions of excellence and value for our customers,” says Dr. David R. Hardoon, ADI Chief Executive Officer. “This aligns with our commitment at ADI to harness the power of data and AI for tangible business and sustainability outcomes. With Cloudera’s robust data management capabilities and scalable machine learning platform, we’re confident in accelerating the development and deployment of AI-powered solutions. Together, we’ll empower our teams to extract actionable insights from data more effectively, pushing the boundaries of data innovation and enhancing our competitive edge in the digital era.”