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Production ML Capabilities Now Available In CDSW 1.8

With only about 35% of machine learning models making into production in the enterprise (IDC), it’s no wonder that production machine learning has become one of the most important focus areas for data scientists and ML engineers alike. As you may remember, we recently announced a full set of MLOps capabilities in Cloudera Machine Learning, our cloud native machine learning tool for the cloud.

Dancing with Elephants in 5 Easy Steps

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate.

The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part I)

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how live-streaming data might impact the sector I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s data-in-motion Business Unit.

Using Cloudera Data Engineering to Analyze the Paycheck Protection Program Data

The Paycheck Protection Program (PPP) is implemented by the US federal government to provide a direct incentive for businesses to keep their employees on the payroll, particularly during the Covid-19 pandemic. PPP assists qualified businesses retain their workforce as well as help pay for related business expenses. Data from the US Treasury website show which companies received PPP loans and how many jobs were retained. The US Treasury approved approximately one million PPP loans across the US.

Data for Enterprise AI: at the very forefront of innovation

2020 may well go down as the year where what seems impossible today, did become possible tomorrow. It’s been a year filled with disruption and uncertainty. One day we were all going to the office, and the next we were working from home. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things.

Operational Database Performance Improvements in CDP Private Cloud 7 vs CDH5

Cloudera Data Platform (CDP) Private Cloud is the most comprehensive on-premises platform for integrated analytics and data management. It combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise Plus, and brings the latest and greatest open source technologies for data management and analytics to the data center. With the latest version (7) of CDP Private Cloud, we’ve introduced a number of new features and enhancements.

The Future Of The Telco Industry And Impact Of 5G & IoT - Part 1

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. This is opening up new revenue opportunities, use cases and even the possibility for different types of business models within the sector, changing the way that CSPs operate.

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.

Apache Ozone Fault Injection Framework

One of the key challenges of building an enterprise-class robust scalable storage system is to validate the system under duress and failing system components. This includes, but is not limited to: failed networks, failed or failing disks, arbitrary delays in the network or IO path, network partitions, and unresponsive systems.