etl - CULytics Community2024-03-28T14:39:40Zhttps://culytics.com/discussions/feed/tag/etlGet Your Free Copy of 2017 Gartner MQ for Data Integrationhttps://culytics.com/discussions/get-your-free-copy-of-2017-gartner-mq-for-data-integration2017-08-24T22:17:02.000Z2017-08-24T22:17:02.000ZGary Ryanhttps://culytics.com/members/GaryRyan<div><div style="box-sizing: border-box; color: #4f5359; font-family: proxima-nova, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-style: initial; text-decoration-color: initial;">Gartner has just published the 2017 Magic Quadrant for Data Integration tools. You can view the complete and complimentary report<span> </span><a rel="nofollow" href="https://goo.gl/EuxFnG" style="box-sizing: border-box; background-color: #ffffff; color: #337ab7; text-decoration: none;">here.</a></div><p></p><p>Denodo once again has been recognized by Gartner as a visionary while improving its execution success. Data virtualization is the fastest growing and most innovative data integration technology that is helping numerous organizations across every industry with cloud modernization, operational excellence, cloud based analytics, insightful big data analytics and many other initiatives, at a significantly lower cost and faster time-to-market than traditional data integration tools.</p><p></p></div>Data Warehousinghttps://culytics.com/discussions/data-warehousing2017-07-31T23:53:09.000Z2017-07-31T23:53:09.000ZBrenton Paulsenhttps://culytics.com/members/BrentonPaulsen<div><p>With such vast, desperate data sources, I find that it can be a challenge to answer certain business questions that should be easy. Our core is great 3NF schema, but not well suited to analytical use cases.</p><p>I'm wondering what BI platforms other credit unions use to integrate and analyze their data. Have others created their own OLAP schema? If so, what data store? Any experience with Redshift, BigQuery, or other cloud services?</p><p>On the other hand, does anyone use a fintech partner in this area that they would recommend?</p><p>I'd appreciate your input!</p></div>