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Build on your investment by Migrating or Upgrading to CDP Data Center

Cloudera Data Platform (CDP) Data Center(DC) is the on-premises release of Cloudera Data Platform. CDP DC combines the best services and components from Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack to deliver the premier on-premises enterprise data platform . This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

Lumada for DataOps - Innovate with Data

DataOps is data management for the AI era. It offers new opportunities for emerging industry leaders by simultaneously instituting agility, improving quality, and increasing production success. Here, I will outline how you can solve some of your biggest data management issues with Lumada solutions, which power some of the top organizations in the world. Let’s first discuss data friction and how to remove it.

Are Your Machine Learning Models Wrong?

In addition to the very real negative impact on every person around the world, the COVID-19 pandemic is driving business disruptions and closures at an unprecedented scale. Enormous government stimulus programs are resulting in explosions in fiscal deficits, regulators are relaxing capital constraints on banks and central banks are supporting economic stability with a range of interest rate cuts and other stimulus measures.

5 Challenges of Building Data Applications

Fast-growing software companies are building data applications for a variety of uses, from marketing apps that provide customer insights, to IoT apps that handle device feedback, and data analytics apps that process both historical and near real-time data. But developers often face obstacles when building, designing, and supporting applications that need to parse large volumes of information.

Enterprise Data Platforms - Should Organizations Build or Buy?

“Build vs Buy” is an important decision every technology strategist has to make. With the rise of open source and the wealth of freely available software, organizations have the flexibility to build custom solutions when off-the-shelf solutions don’t directly address their needs. In the domain of enterprise data platforms, many organizations have leveraged the open-source ecosystem to build tailored solutions, expending a lot of resources in the process.

Answer Data-Driven Digital Business Wake-Up Call With QlikWorld

If “necessity is the mother of invention,” COVID-19 forced many businesses around the world to rethink their digital transformation, data and analytics strategies. Out of every crisis, there will be opportunities. Although the current pandemic has certainly acted as a black swan event in some cases impeding progress, it has, nonetheless, accelerated several of the trends already pushing toward a digital future.

Talend Named a Leader in the Enterprise Data Fabric, Q2 2020 Forrester WaveTM

We are happy to announce Talend is a Leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2020. Talend’s unified approach to data management – combining data integration, integrity, and governance in a single platform – is the best way to gain clarity and confidence in your data. Since we launched Talend Data Fabric in 2015, we’ve been strong believers that data integration and management could not be solved with a static, siloed enterprise software solution.

Thanks to COVID-19 everyone is a data interpreter

One of the most interesting developments coming out of the current COVID-19 crisis is that people are looking at and interpreting data like never before. People that have never expressed an interest in data are now thinking about data and trying to understand what it means for them. There is a lot that businesses can learn from this. With COVID-19, people are taking the time to look at highly complex data, distill it, and assess what it means for their own behavior and lives.

Optimize Local and Global Decisions with Snowflake's Geospatial Support

Even in a global economy, businesses need a deep understanding of local markets. For example, marketing campaigns designed to attract buyers in a large metropolitan area won’t necessarily attract small-town customers. Noticing that buying patterns in one area are extending into a larger regional or nationwide trend can lead to decisions that increase profits. But accessing and analyzing a broad spectrum of geospatial data has been difficult and expensive. That is changing.