Author Archives: Guest

To the Future

Categories: Corporate Data Science Machine Learning

I started Fast Forward Labs more than three years ago with the vision of creating a new mechanism for applied research, helping businesses large and small understand how recently possible machine learning and applied artificial intelligence technologies could be useful for solving real business problems. Since then, we’ve published reports, built prototypes, and advised organizations…

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Simplifying Big Data in the Cloud

Categories: Cloud Data Engineering Product Spark

In recent years, as public cloud adoption has accelerated and customers have started looking towards cloud for large-scale data workloads, we sought to reimagine how to most effectively offer Cloudera capabilities in the cloud. Our customers wanted to understand how to leverage the agility, scale, and ease-of-use offered by the cloud to efficiently and cost-effectively…

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Securing the Internet of Things (IoT)

Categories: Cybersecurity General Internet of Things

IoT and the Expanding Threat Surface   The Internet of Things has the potential to be one of the biggest technological revolutions in the  recent ages, enabling businesses to work smarter, faster and more profitably. However, in order for IoT to really gain adoption and attain its promise, one of the critical issues that still…

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Continuous Ingest in the Face of Data Drift (Part 2)

Categories: Analytic Database Data Science Enterprise Data Hub General Partners Product

In my previous post I discussed the causes and impacts of data drift, a natural consequence of Big Data which creates serious data quality and data pipeline operational issues. Now I will describe the features of StreamSets Data Collector, how they address ingesting data in a “drifty” environment and describe some common use cases. StreamSets…

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