
Tag: data prep
Open source versions of feature stores are emerging that are designed help data scientists avoid reinventing the wheel. One feature store startup is attracting investors by adding a computing layer billed as helping to accelerate enterprise access to AI and advanced analytics. Read more…
AWS this week unveiled Glue DataBrew, a new visual data preparation tool for AWS Glue that’s designed to help users clean and normalize data without writing code.
Data preparation is the Achille’s Heel of advanced analytics and machine learning, as it regularly consumes upwards of 80% of data scientists and analysts’ time. Read more…
Roughly a year-and-a-half after Information Builder Inc. founder Gerald Cohen stepped down as CEO, the privately-held business intelligence vendor has been acquired by Tibco Software Inc. for an undisclosed amount. Read more…
Welcome to On the Radar, a new Datanami feature about interesting new startups in the big data and analytics space. In this week’s edition, we explore three vendors making news, including Promethium, NativeStreams, and Inzata. Read more…
Boomi’s acquisition of data cataloger Unifi Software buttresses the automated IT strategy of the buyer’s parent, Dell Technologies, by combining Unifi’s data tools with Boomi’s existing integration and data management platform. Read more…
Thanks to machine learning and the advancements in software and technology, enterprises can now process and understand their data much faster using modern tools with established algorithms. This effectively allows them to deliver more powerful marketing campaigns, deploy efficient logistics operations, and significantly outpace competitors. Read more…
Despite the astounding technological progress in big data analytics, we largely have yet to move past manual techniques for important tasks, such as data transformation and master data management. As data volumes grow, the productivity gap posed by manual methods grows wider, putting the dreams of AI- and machine learning-powered automation further out of reach. Read more…
Data preparation has long been recognized for helping business leaders, analysts, and data scientists to ready and prepare the data needed for analytics, operations, and regulatory requirements. Today, the technology is becoming even more critical to deriving insights as most enterprise data is still not ready to be used by machine learning (ML) applications and involves significant effort to make it usable. Read more…
More evidence is emerging that “data workers” in general and data scientists in particular are bogged down by the sheer breadth of their company’s data.
Meanwhile, the skills gap between data experts and line-of-business workers continues to grow. Read more…