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Technology

Enabling Automated Issue Resolution through the use of conversational ML

The Cloudera Support Organization has always strived to not only provide solutions to our customers but to also deliver helpful knowledge. One of the primary sources of that knowledge comes from our Knowledge Articles. This content is created and curated by our knowledgeable Support Staff based on real-world experience coming from support cases. These Knowledge Articles have proven to be invaluable to our Support Staff over the years.

Demo - Qlik and Microsoft Unleash SAP Data For Analytics

This integrated solution accelerates analysis of SAP data by combining the automated data delivery capabilities of Qlik Data Integration with the agility of the Azure platform. Qlik and Microsoft offer a free Proof-of- Value (PoV) that includes Software and Expertise for real-time SAP Analytics in Azure. See what is possible.

Factory Edge to Cloud Analytics- Three Fundamental Steps to Success

We recently Googled the manufacturing use case “predictive maintenance” and was astonished by the results there were 82 MILLION results returned. Next, we Googled “process optimization” and it yielded even more results – 302 MILLION. Clearly, these use cases are top of mind in today’s manufacturing landscape, considering digital transformation will deliver $11 Trillion USD in economic value by 2025.

Cloudera Data Warehouse on Azure Provides Fast, Cost-Effective and Highly Scalable Analytics

The Cloudera Data Warehouse (CDW) service is a managed data warehouse that runs Cloudera’s powerful engines on a containerized architecture. It is part of the new Cloudera Data Platform, or CDP, which went live on Microsoft Azure earlier this year. The CDW service lets you meet SLAs, onboard new use cases with zero friction, and minimize cost. Today, we are pleased to announce the general availability of CDW on Microsoft Azure.

Deliver Analytics-Ready Data to the Cloud With Snowflake and Hitachi Vantara

One of the toughest challenges for data professionals today is migrating data from on-premises environments to the cloud. Many companies still lack the tools and infrastructure to ingest and process complex datasets to achieve critical business outcomes. Tune in for a joint-session with Snowflake and Hitachi Vantara as we discuss best practices to address common edge-to-multicloud issues and how our joint offering can dramatically simplify data preparation, migration and analytics tasks to help deliver analytics-ready data in the cloud.

Make Your Keyboard Great Again! - User Story

We are all familiar with this scenario, you work on your training code, fix “all” of the bugs (the ones you know about), wait for a few iterations, see that batch size wasn’t wrong and nothing blows up, and then you happily go home. However, when you come back into the office the next day look at your loss and test accuracy you’re horrified to find that the experiment crashed on the first test cycle because you pointed your test set in the wrong folder 🙁