White Papers

For the 2022 State of Data Practice Report, Molecula partnered with the Center for Generational Kinetics to survey 300 US data practitioners across a wide range of industries. We explored their perceptions and experience with AI/ML and advanced analytics in their organizations, how AI/ML impacts their current roles, and how they navigate (or change) their daily responsibilities as a result. This report dives deep into the lives of data engineers, data scientists, and analytics practitioners.

Apache Kafka’s popularity is not going away anytime soon. As our world moves towards being “always-on,” the ability to make decisions and predictions on streaming data in real-time has become mission-critical. Kafka has paved the way for organizations to capitalize on the power of streaming data, but it needs supporting technology to enable real-time analytics. Even Kafka power users struggle to achieve high throughput and low latency without sacrificing data freshness.

This White Paper is a master class in artificial intelligence/machine learning implementation that reveals the top 5 strategies for effective AI/ML delivery at any organization. We’ll cover the 5 keys to becoming an expert.

Some of the largest AI-driven tech companies, including Uber, Google, Netflix, Facebook and Twitter, are already familiar with feature stores, having built their own

451 Research | By Matt Aslett Abstracted data architecture has evolved as enterprises have exploited the […]

This white paper presents ideas and a new technology for accessing large distributed data in real -time to maximize ROI on technology investments. We will outline five core areas where data access can greatly impact the success of an application.

Molecula’s novel approach to data access breaks through the latency floor created by the zoo of legacy data processing technologies, eliminating the need to pre-aggregate, federate, copy, cache or move source data.

451 Research | By Paige Bartley Today Molecula is proud to share that 451 Research, […]

In this paper we introduce a novel approach to data virtualization which is making strides to clear the log jam that has increasingly plagued data beneficiaries for years.