Systems | Development | Analytics | API | Testing

Cloud

Talend Cloud Management Console: Accelerate your move to the cloud

More than 1,000 connectors and components in Talend Cloud put powerful graphical tools at your fingertips to connect databases, big data sources, on-premises data, and cloud applications. Now imagine designing cloud-to-cloud and hybrid integration workflows in Talend Studio and automating publication to a fully managed cloud platform.

Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet, have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale.

US-East region is live: deploy your apps in Washington, DC

Our US-East region is now available to deploy all your full-stack apps and APIs! 🇺🇸 Connect a Git repository, select your region, we will build your app and run it inside of MicroVMs on top of high-performance BareMetal servers in the most interconnected location worldwide: Washington, US-East. Sign up and give it a try!

Unlocking the Power of Data Catalogs with a Cloud Data Platform

If you use a data lake, chances are you need a way to keep your data searchable for business users. When combined with the analytics capabilities of a cloud data platform, a data catalog can solve some of the common pain points around “data swamps,” where users fail to gain any meaningful insights from their data. Some of a business’s most valuable assets lie within its data.

Financial Service Companies Tackle The Challenge of Moving Data To The Cloud

As financial service companies look to pull siloed data off legacy systems and move it to the cloud, more and more are turning to Snowflake to help them tackle that challenge. So says Adam Hirsh, Managing Director at EY, a financial services consulting company, in this wide-ranging interview with “Data Cloud Now” host Ryan Green. The conversation includes a discussion of the benefits financial service firms hope to realize by harmonizing their data across their organization as well as a discussion about the various challenges facing the industry, including increasingly complex regulations, the rise of ESG considerations, and the need to address security and data governance concerns.

New Frankfurt location: deploy high-performance apps in Europe

Today, we are super excited to announce the grand opening of our Frankfurt core location in Germany! 🇩🇪🇪🇺 All users can now deploy their applications in the heart of Europe with one click, or API call, and enjoy all of the platform's features with the same pricing. Give it a try, sign up and deploy your full-stack apps now! As usual, we will seamlessly deploy your services across a fleet of high-performance MicroVMs running on top of BareMetal servers.

Go Hybrid & Multi-Cloud or Don't Go

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. For a thoughtful and entertaining analysis, I strongly recommend you spend a few minutes watching the keynote session by Pat Moorhead, CEO Moor Insights & Strategy, at the Evolve 2022 Data event in New York. His takeaway: “The world is very much going to be hybrid and multi-cloud.” His delivery—priceless.

Cloud Complexity and the Need for Tighter Security Grow Together

Whether on-premises, private, hybrid or multicloud, or at the edge – working in the cloud is complex. And as the enterprise expands, so too does the threat surface for cyberattacks. Ransomware, in particular, is among the biggest risks organizations now face and cloud-based data is accounting for 39% of successful attacks.

Jobvite's Cloud-Transformation Made Easy With AWS and Rookout

Organizations are moving their applications and infrastructure to the cloud to reduce costs and gain elasticity and agility. This has caused a wave of adoption of cloud-native technologies, especially Kubernetes. And while we all love cloud-native technologies, it’s been very apparent that using them comes with its own unique set of challenges. The only way to maintain the velocity and quality of a cloud-native app? By being able to dive deep into running code and collect the metrics, logs, and traces needed in real-time.