RapidMiner Integrates with Microsoft Azure
September 27, 2017
Share this

RapidMiner announced that RapidMiner Server is now available in the Microsoft Azure Marketplace, and RapidMiner Radoop now supports Microsoft Azure HDInsight.

RapidMiner Server makes it easy to share, reuse, and operationalize machine learning models created in RapidMiner Studio. Availability in the Azure Marketplace means organizations can spin up development and production instances of RapidMiner Server in minutes. Organizations who run RapidMiner Server benefit from the on-demand power and scalability of Azure.

RapidMiner Radoop now supports Azure HDInsight, the only fully-managed cloud Hadoop offering. Azure HDInsight provides optimized open source analytical clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server, backed by a 99.9 percent SLA. RapidMiner Radoop executes machine learning workflows from RapidMiner Studio inside Azure HDInsight, reducing the need for specialized IT and analytics skills. With RapidMiner Radoop and Azure HDInsight, organizations can deliver data science and machine learning on Hadoop faster than ever before.

Lars Bauerle, Chief Product Officer at RapidMiner, said: “RapidMiner has a vision to reduce the complexity of data science and machine learning. With this integration, we bring another level of power, speed, and agility to our customers.”

Juergen Daiberl, Director, OCP Global ISVs at Microsoft Corp. added, “We’re delighted to see RapidMiner available in the Microsoft Azure Marketplace along with the launch of the Azure HDInsight connector. Data Scientists and Business Analysts can now spin up their favorite workflows in few minutes in Azure, and become more productive in the public cloud.”

RapidMiner Server is now available at the Microsoft Azure Marketplace and Azure HDInsight support is available in the latest version of RapidMiner Radoop.

Share this

The Latest

September 24, 2024

As AI improves and strengthens various product innovations and technology functions, it's also influencing and infiltrating the observability space ... Observability helps translate technical stability into customer satisfaction and business success and AI amplifies this by driving continuous improvement at scale ...

September 23, 2024

Technical debt is a pressing issue for many organizations, stifling innovation and leading to costly inefficiencies ... Despite these challenges, 90% of IT leaders are planning to boost their spending on emerging technologies like AI in 2025 ... As budget season approaches, it's important for IT leaders to address technical debt to ensure that their 2025 budgets are allocated effectively and support successful technology adoption ...

September 19, 2024

As businesses and individuals increasingly seek to leverage artificial intelligence (AI), the cloud has become a critical enabler of AI's transformative power. Cloud platforms allow organizations to seamlessly scale their AI capabilities, hosting complex machine learning (ML) models while providing the flexibility needed to meet evolving business needs ... However, the promise of AI in the cloud brings significant challenges ...

September 18, 2024

The business case for digital employee experience (DEX) is clear: more than half (55%) of office workers say negative experiences with workplace technology impact their mood/morale and 93% of security professionals say prioritizing DEX has a positive impact on an organization's cybersecurity efforts, according to the 2024 Digital Employee Experience Report: A CIO Call to Action, a new report from Ivanti ...

September 17, 2024

For IT leaders, a few hurdles stand in the way of AI success. They include concerns over data quality, security and the ability to implement projects. Understanding and addressing these concerns can give organizations a realistic view of where they stand in implementing AI — and balance out a certain level of overconfidence many organizations seem to have — to enable them to make the most of the technology's potential ...

September 16, 2024

For the last 18 years — through pandemic times, boom times, pullbacks, and more — little has been predictable except one thing: Worldwide cloud spending will be higher this year than last year and a lot higher next year. But as companies spend more, are they spending more intelligently? Just how efficient are our modern SaaS systems? ...

September 12, 2024

The OpenTelemetry End-User SIG surveyed more than 100 OpenTelemetry users to learn more about their observability journeys and what resources deliver the most value when establishing an observability practice ... Regardless of experience level, there's a clear need for more support and continued education ...

September 11, 2024

A silo is, by definition, an isolated component of an organization that doesn't interact with those around it in any meaningful way. This is the antithesis of collaboration, but its effects are even more insidious than the shutting down of effective conversation ...

September 10, 2024

New Relic's 2024 State of Observability for Industrials, Materials, and Manufacturing report outlines the adoption and business value of observability for the industrials, materials, and manufacturing industries ... Here are 8 key takeaways from the report ...

September 09, 2024

For mission-critical applications, it's often easy to justify an investment in a solution designed to ensure that the application is available no less than 99.99% of the time — easy because the cost to the organization of that app being offline would quickly surpass the cost of a high availability (HA) solution ... But not every application warrants the investment in an HA solution with redundant infrastructure spanning multiple data centers or cloud availability zones ...