How to set up data science teams to succeed; big data platforms guide; SQL Server 2016 licensing scenarios

Information Management Digest A roundup of information management content from TechTarget's network | March 2, 2017 FEATURED STORY Successful data science process not simple to set up, sustain By Craig Stedman, Senior Executive Editor Data science teams face a mix of process and cultural challenges in organizations, according to experienced analytics managers who offer advice on how to overcome the hurdles and build a productive environment for data scientists. (SearchBusinessAnalytics.com) Advertisement NEWS   Using big data platforms for data management and analytics Big data systems often start with Hadoop, but most also include other platforms. This guide rounds up content on big data platform options and how to manage deployments of them. (SearchDataManagement.com)   Predictive analytics hinges on good data, business expertise Predictive analytics helps businesses maintain a competitive edge, but only with the right data. And even then, the most advanced analytics tools can't fully replace business expertise. (SearchBusinessAnalytics.com )   Streaming data analytics puts real-time pressure on IT teams A real-time data architecture that can support streaming analytics applications is an enticing, yet daunting, prospect for organizations looking to act quickly on incoming information. (SearchBusinessAnalytics.com )   Data engineers need DevOps to navigate big data ecosystem For an open source software strategy to work, applications based on big data technologies must be hardened to run in production. DevOps could be an important part of that. (SearchDataManagement.com) EXPERT ADVICE   Six SQL Server 2016 licensing scenarios and how they work Microsoft software licensing can be tough to manage. To help with that, let's look at some common situations for licensing SQL Server 2016 that enterprises will likely face. (SearchSQLServer.com)   Metadata management helps data lake users stay on course Effective metadata management processes can prevent analytics teams working in data lakes from creating inconsistencies that skew the results of big data analytics applications. (SearchDataManagement.com) About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Information Management Digest, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget Enterprise Applications Media Group, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2017 TechTarget. All rights reserved.