IBM bets on Hortonworks as its Hadoop platform; finding business uses for deep learning tools

Information Management Digest A roundup of information management content from TechTarget's network | June 22, 2017 FEATURED STORY IBM taps Hortonworks Hadoop platform to be its big data engine By Craig Stedman, Senior Executive Editor IBM dropped its own Hadoop distribution in favor of reselling Hortonworks' bundle of big data technologies, a decision that reduces the number of Hadoop vendors to four. For users of the two companies, it could mean increased access to enterprise capabilities for managing and analyzing big data. (SearchDataManagement.com) Advertisement NEWS   How enterprises can find the right deep learning use cases The world's top tech companies are currently the biggest users of deep learning applications, but more typical enterprises may also be able to get in the game, as explained in this podcast. (SearchBusinessAnalytics.com)   Don't wait until it's too late to build a data governance model As companies amass data from multiple sources, they lose control over data quality and accuracy. Like it or not, it's time to halt the data free-for-all and apply data governance. (SearchDataManagement.com)   Cloud data analytics gets a higher profile in companies Lenovo and Autodesk are two organizations that are increasing their use of the cloud for analytics applications, looking to lower costs, add flexibility and speed up data processing. (SearchBusinessAnalytics.com)   Panel: What we call AI today doesn't live up to the hype Modern artificial intelligence tools fall short of true AI, and that could have implications for how the technology is used by enterprises in the near future, according to MIT panelists. (SearchBusinessAnalytics.com) EXPERT ADVICE   A closer look at the integration of Python and SQL Server 2017 Do you know everything you need to in order to take advantage of SQL Server 2017's support for Python? Get the details on Microsoft's pairing of the database and programming language. (SearchSQLServer.com)   Look for advances in tools that serve the Hadoop data scientist To date, the Hadoop data scientist has had to be a superhero, with a mix of data engineering, administration and analysis skills. Self-service tools will change that, but not overnight. (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.