Systems | Development | Analytics | API | Testing

5 Factors to Consider When Choosing a Stream Processing Engine

Are you using the right stream processing engine for the job at hand? You might think you are—and you very well might be!—but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements.

Data insights made simple, flexible, and proactive? Cheers to that.

Stonegate is Britain’s largest pub company, with 1,200 managed pubs and bars across the UK, 3,200 tenanted sites, and multiple brands including Slug & Lettuce, Yates, Be At One, Walkabout, and Popworld. The hospitality business was difficult enough before COVID-19 arrived, but the pandemic forced Stonegate to fundamentally rethink its core business and operational models.

Solving the Right Data Problem. Finally.

In late 2020, a CEO at an American bank revealed the thinking that’s becoming common in many businesses these days. “We’re a 103-year-old bank,” their CEO told me. “We’re doing everything on spreadsheets. But we are trying to become a highly profitable, digital-first bank that anticipates financial needs and empowers our clients with frictionless experiences. We need to become a data company.”

ThoughtSpot Analytics Cloud

Get consumer-grade analytics for your modern data stack. ThoughtSpot empowers everyone to create, consume, and operationalize data-driven insights. Our consumer-grade search and AI technology delivers true self-service analytics that anyone can use, while our developer-friendly platform ThoughtSpot Everywhere makes it easy to build interactive data apps that integrate with your existing cloud ecosystem.

The 7 Best Reporting Tools for 2021

Reporting tools solve a key problem for businesses by enabling them to communicate data in a way that is accessible, easy-to-understand, and useful for both frontline staff and management teams. These tools take raw data and turn it into tables, charts, and graphs ready for consumption, turning complicated data into visuals that better enable users to spot patterns and trends.

Automating CDP Private Cloud Installations with Ansible

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse, Machine Learning, Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

cdpcurl: Low-Level CDP API Access

Cloudera Data Platform (CDP) provides an API that enables you to access CDP functionality from a script, or to integrate CDP features with an application. In practice you can use the CDP API to script repetitive tasks, manage CDP resources, or even create custom applications. You can learn more about the API in its official documentation. There are multiple ways to access the API, including through a dedicated CLI, through a Java SDK, and through a low-level tool called cdpcurl.

Mastercard Reduces MTTR and Improves Query Processing with Unravel Data

Mastercard is one of the world’s top payment processing platforms, with more than 700 million cards in use worldwide. In the US, nearly 40% of American adults hold a Mastercard-branded card. And the company is going from strength to strength; despite a dip in valuation of more than a third when the pandemic hit, the company has doubled in value three times in the last nine years, recently reaching a market capitalization of more than $350B dollars.