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Today’s leading Cloud Platforms include numerous components for storing, processing and analyzing large volumes of data. All the basics are there: storage, analysis and processing, streaming data processing, data pipelining, data warehousing, BI and even AI. But while it’s great to have all those raw components, how do you tie them together into a comprehensive architecture? While the parts are great, they still must be assembled into the whole.
Having spent some time in the retail business, specifically apparel, and at a company that focused on helping e-retailers, I have an appreciation for the challenges these organizations face. With the entire retail world turned upside down from the pure-play e-commerce giants such as Amazon, many incumbents are trying to transform themselves in this new digital era.
IBM’s Cloud Private for Data is the latest spin on the age-old idea of turnkey system, but architected and updated for the architecture of the private cloud. It addresses a need for organizations wishing the flexibility of the cloud whose policies otherwise rule out use of public clouds.
CRN has gone ahead and published the 30 ‘coolest’ analytics providers included in the list via an interactive slideshow. At Solutions Review, we track the solution providers that have the biggest impact on the enterprise.
Datameer develops data preparation, exploration, governance and analysis software used to transform complex, diverse data into a network of pipelines that feed data into analytics systems throughout an enterprise.
In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.