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Analytics

Transforming Manufacturing Data: The Power of Qlik and Databricks Together

Manufacturing is undergoing a massive transformation. Driven by technological advancements that generate vast amounts of data. The industry is moving towards becoming smarter, more sustainable, and services driven. The fragmented nature of manufacturing’s data architecture however, has created barriers to realizing the full value of data, with many projects stalling at the Proof-of-Concept stage.

Managing the Cost and Complexity of Hybrid Cloud Infrastructure

More enterprises are striving to become data-driven so they deliver greater value to their customers, shareholders, employees and society at large. But many are still struggling with data infrastructure. To reap the benefits, learn how companies are solving key challenges, from managing the rapid growth of data to ensuring security and compliance, in this discussion with Dan McConnell, SVP of product management, Enterprise Infrastructure.

Solving key challenges in the ML lifecycle with Unravel and Databricks Model Serving

Machine learning (ML) enables organizations to extract more value from their data than ever before. Companies who successfully deploy ML models into production are able to leverage that data value at a faster pace than ever before. But deploying ML models requires a number of key steps, each fraught with challenges.

Lenses 5.1 - A 1st class ticket to be event-driven in AWS

Hello again. We strive to improve the productivity of developers building event-driven applications on the technology choices that best fit your organization. AWS continues to be a real powerhorse for our customers. Not just for running the workloads, but in supporting them with their native services: MSK Kafka, MSK Connect and now increasingly Glue Schema Registry. This is bringing a strong alternative to Confluent and their Kafka infrastructure offerings.