Sign up for our newsletter and get the latest big data news and analysis.

5 Easy Steps to Make Your Data Business Ready

In this contributed article, Ayush Parashar Vice President of Engineering at Boomi, discusses five core components to a strong data strategy so businesses can derive insights from and act on the data. As the uses for data continue to grow, businesses must ensure their data is actually usable.

How Governing Observability Data is Critical to ESG Success

In this contributed article, Nick Heudecker, Senior Director of Market Strategy at Cribl, discusses how observability data comprises the logs, events, metrics, and traces that make things like security, performance management, and monitoring possible. While often overlooked, governing these data sources is critical in today’s enterprises. The current state of observability data management is, at best, fragmented and ad hoc. By adopting an observability pipeline as a key component in your observability infrastructure, you can centralize your governance efforts while remaining agile in the face of constant change.

How Yum! Brands Uses Location Data from Foursquare to Make Smarter Decisions

Join this virtual event with a compelling panel of technology leaders to discuss to discover how Yum! Brands and other organizations are leveraging location-based data to boost in-app location accuracy, increase in-store foot traffic, and expand e-commerce business.

Global Study Sponsored by Qlik Finds Strong Relationship Between Optimizing Data Pipelines and Business Value

Qlik® announced a global study that shows organizations that strategically invest in creating data-to-insights capabilities through modern data and analytics pipelines are seeing significant bottom line impact. The global IDC survey, sponsored by Qlik, of 1,200 business leaders* shows that companies with a higher ability to identify, gather, transform, and analyze data to glean insights benefited from higher quality decision making and better business outcomes, including improved operational efficiencies, increased revenue and increased profits.

Ascend Creates Automated and Intelligent Dataflows to Power Successful Digital Transformations

Ascend, provider of the Autonomous Dataflow Service, emerged from stealth with $19M in funding to de-risk big data projects and accelerate digital transformations. Ascend operates the only solution with which data engineering teams can quickly build, scale, and operate continuously optimized, Apache Spark-based pipelines. By combining declarative configurations and deep automation, the Ascend Service manages cloud infrastructure, optimizes pipelines, and eliminates maintenance across the entire data lifecycle.