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Cloudera: Enabling the Cloud-Native, Data-Driven Techco

The telecommunications industry has been doing well since the pandemic started (not that many would notice). Revenues have remained relatively stable, while consumption has gone up, as virtual engagement has become the primary mode of operations for many businesses (and families!) In the mean-time, digital transformation has been accelerating both as a means to respond to the pandemic, and as a mechanism to drive costs down further, allowing for margin growth.

How Hyperautomation Can Remove the Obstacles to Your Digital Transformation

For almost a decade now, global business leaders have heralded the beginning of the Fourth Industrial Revolution, which refers to how technologies like AI, robotics, IoT, autonomous vehicles and computer vision are blurring the lines between the physical, digital, and biological spheres. Industry 4.0 has paved the way for transformative changes in business, unleashing advances in business process automation in the front and back office, driving unprecedented productivity and growth.

Cloud Management for the Modern Workload

The road to the data-driven enterprise is not for the faint of heart. The continuous waves of data pounding into ever-complex hybrid multicloud environments only compound the ongoing challenges of management, governance, security, skills, and rising costs, to name a few. But Hitachi Vantara has developed a path forward that combines cloud-ready infrastructure, cloud consulting and managed services to optimize applications for resiliency and performance, and automated dataops innovations.

Enterprise Hybrid-Cloud Stack: Consistent Kubernetes Experience Across Multicloud

Organizations today face challenges from rapidly changing markets, new technologies, and the need to build new modern apps running in a multicloud environment. For this reason, business leaders are demanding faster delivery of new applications, services, and insight, requiring greater agility and efficiency from IT. Enterprises, rightly so, are investing in modernizing their on-premises infrastructure with increased use of the cloud.

Building a Flexible Hybrid Cloud for Today and Tomorrow

Although many enterprises are at varying stages in their cloud journeys, most are adopting distributed mixes of on-premises and public cloud environments in order to maintain certain data and applications close by, while making others more accessible and available online. With such distributed cloud networks, core tenants of the enterprise, such as management, scalability and security, become increasingly challenging. There is a path forward, however.

Introducing Apache Iceberg in Cloudera Data Platform

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. This unprecedented level of big data workloads hasn’t come without its fair share of challenges.

Data Classification Now Available in Public Preview

Organizations trust Snowflake with their sensitive data, such as their customers’ personal information. Ensuring that this information is governed properly is critical. First, organizations must know what data they have, where it is, and who has access to it. Data classification helps organizations solve this challenge.

Unlocking New Revenue Models in the Data Cloud

Today’s applications run on data. Customers value applications not only for the functionality they provide, but also for the data itself. It may sound obvious, but without data, apps would provide little to no value for customers. And the data contained in these applications can often provide value beyond what the app itself delivers. This begs the question: Could your customers be getting more value out of your application data?

Streaming data into BigQuery using Storage Write API

BigQuery is a serverless, highly scalable, and cost-effective data warehouse that customers love. Similarly, Dataflow is a serverless, horizontally and vertically scaling platform for large scale data processing. Many users use both these products in conjunction to get timely analytics from the immense volume of data a modern enterprise generates.

Upgrade Hortonworks Data Platform (HDP) to Cloudera Data Platform (CDP) Private Cloud Base

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads. CDP is an easy, fast, and secure enterprise analytics and management platform with the following capabilities.