@CLillstrungNH I agree. Just miss going to random games and checking out other area players. Chris, honestly you were the platform for a lot of us to stay connected to what was going on in the area outside of our home team. I hope you realize how many of us waiting for your insights.
Pete Aven hits the mark. "Why do we wrangle data? Because we need to unify information from disparate sources, be databases, spreadsheets, applications, or filesystems, into some single view or report. " #nosql#bigdata https://t.co/Rwi9TMCDM4
#Datasilos remain stubbornly intact at all too many organizations, impeding the free flow of data and strangling analytics. #bigdata https://t.co/PHdC0ecF8v
Enterprises can reaching for the โgreener grassโ and instead enjoy the benefits of the proven pasture that is the platform for enterprise data analysis, delivery, and storage. @avalonconsult@molodyets#datahub#datalake https://t.co/69dPiN61ua
Complete #cloud services allowing fast, flexible and cost-effective access to operational #datahubs and dynamic query services that are essential for breaking down data silos and putting corporate data to work! @zdnet@awscloud https://t.co/nEJALHKKLz
#Datahub may be a phrase in the running for the 2019 buzzword of the year race. So what's driving this data hub buzz? #DataLake#Cloud#NoSQL https://t.co/AABPJV37jI
@MarkLogic presents new Data Hub Service @BigDataWorld that provides a fast and cost-effective way to securely integrate, store, harmonize and analyze mission-critical enterprise data in the cloud. https://t.co/2Gvp6pjZxu
Overwhelmed by the burden of integrating large swaths of business and user data? @MarkLogic #datahub is making it simple to manage, curate, secure, operate and operationalize data to drive real business outcomes?@insideBigData https://t.co/6BMWDltPgB
Confused by conflicting #regulations like #Mifid2 and #GDPR? You're not alone. @kenkrupa and fellow panelists will help clear things up on Sept 25 during this free webinar. #regtech https://t.co/9fTwrWhcrC
We have created 90% of the worldโs #data in the past year, but we are only using 1% of the data effectively #bigdata#datascience https://t.co/fdHk0Bl0T7