BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Karachi BEGIN:STANDARD DTSTART:20091031T230000 TZOFFSETFROM:+0600 TZOFFSETTO:+0500 TZNAME:PKT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210321T101345Z UID:0C152F84-ABF5-4680-A2DA-8120AB4BE5CE DTSTART;TZID=Asia/Karachi:20200108T100000 DTEND;TZID=Asia/Karachi:20200108T130000 DESCRIPTION:Description: Data modernization with data lake on cloud hands-o n training was organized by IEEE WIE Lahore Section and hosted by IEEE WIE UCP Student Branch on 8th January\, 2020. This workshop was started with the recitation of the Holy Quran. Then our honourable Guest Speaker Mr. Sa ad Mahmood took the stage and discussed the related topic. He gave the con cept of modernization of data on data lakes with the help of cloud. He sai d that Data lakes based on Hadoop technologies have proved themselves valu able in mission-critical use cases such as data warehousing\, advanced ana lytics\, multichannel marketing\, complete customer views\, digital supply chains\, and the modernization of data management.\n\nHe added that most Hadoop users are committed to the data lake method of managing data\, but they are limited by Hadoop shortcomings in key areas such as cluster maint enance\, administration cost\, resource management\, metadata management\, and support for SQL and other relational technologies. Many view cloud-ba sed solutions as the optimal replacement for their data lake\, but they ar e not ready to make such a significant change. The truth is: they don't ha ve to\, as the two technologies can coexist.\n\nIn this workshop\, student s learnt about:\n\n- Data lakes: what they are and what they can do for yo ur organization\n- Real-world use cases for data lakes in data warehousing \, analytics\, self-service data practices\, and operations\n- The origin of Hadoop data lakes: why some are on relational databases and others are on multiple platforms\n- Why the cloud is becoming the preferred platform\ n- How Hadoop's limitations affect data lake success\n- How the benefits o f cloud technologies apply to data lakes?\n- Statistics about Hadoop\, dat a lakes\, and cloud adoption and migration\n- Future directions for data l akes including multi platform architectures\, hybrid lakes\, virtual lakes \, and relational lakes\n\nAt the end of the session\, a souvenir was pres ented to the guest speaker and he was also entertained by refreshment\, wh ich was arranged by IEEE UCP Student branch.\n\nImpact of Event on Communi ty: In this workshop\, students learnt about:\n\n- Data lakes: what they are and what they can do for your organization\n- Real-world use cases fo r data lakes in data warehousing\, analytics\, self-service data practices \, and operations\n- The origin of Hadoop data lakes: why some are on rel ational databases and others are on multiple platforms\n- Why the cloud i s becoming the preferred platform\n- How Hadoop's limitations affect data lake success\n- How the benefits of cloud technologies apply to data lak es?\n- Statistics about Hadoop\, data lakes\, and cloud adoption and migr ation\n- Future directions for data lakes including multi platform archit ectures\, hybrid lakes\, virtual lakes\, and relational lakes\n\nSpeaker(s ): Mr. Saad Mahmood\, \n\nUniversity of Central Punjab\, Lahore\, Punjab\, Pakistan LOCATION:University of Central Punjab\, Lahore\, Punjab\, Pakistan ORGANIZER:safoorasaleem34@gmail.com SEQUENCE:1 SUMMARY:Data Modernization with Data Lake on Cloud URL;VALUE=URI:https://events.vtools.ieee.org/m/246990 X-ALT-DESC:Description: <br /><p><strong>Description: Data modernization wi th data lake on cloud </strong><span style="font-weight: 400\;">hands-on t raining</span> <span style="font-weight: 400\;">was organized by </span><s trong>IEEE WIE Lahore Section</strong><span style="font-weight: 400\;"> an d hosted by </span><strong>IEEE WIE UCP Student Branch</strong><span style ="font-weight: 400\;"> on </span><strong>8th January\, 2020. </strong><spa n style="font-weight: 400\;">This workshop was started with the recitation of the Holy Quran. Then our honourable Guest Speaker </span><strong>Mr. S aad Mahmood</strong> <span style="font-weight: 400\;">took the stage and d iscussed the related topic. He gave the concept of modernization of data o n data lakes with the help of cloud. He said that </span><span style="font -weight: 400\;">Data lakes based on Hadoop technologies have proved themse lves valuable in mission-critical use cases such as data warehousing\, adv anced analytics\, multichannel marketing\, complete customer views\, digit al supply chains\, and the modernization of data management.</span></p>\n< p><span style="font-weight: 400\;">He added that most Hadoop users are com mitted to the data lake method of managing data\, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance\, administrat ion cost\, resource management\, metadata management\, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake\, but they are not ready to make such a significant change. The truth is: they don't have to\, as the two t echnologies can coexist.</span></p>\n<p><span style="font-weight: 400\;">I n this workshop\, students learnt about:</span></p>\n<ul>\n<li style="font -weight: 400\;" aria-level="1"><span style="font-weight: 400\;">Data lakes : what they are and what they can do for your organization</span></li>\n<l i style="font-weight: 400\;" aria-level="1"><span style="font-weight: 400\ ;">Real-world use cases for data lakes in data warehousing\, analytics\, s elf-service data practices\, and operations</span></li>\n<li style="font-w eight: 400\;" aria-level="1"><span style="font-weight: 400\;">The origin o f Hadoop data lakes: why some are on relational databases and others are o n multiple platforms</span></li>\n<li style="font-weight: 400\;" aria-leve l="1"><span style="font-weight: 400\;">Why the cloud is becoming the prefe rred platform</span></li>\n<li style="font-weight: 400\;" aria-level="1">< span style="font-weight: 400\;">How Hadoop's limitations affect data lake success</span></li>\n<li style="font-weight: 400\;" aria-level="1"><span s tyle="font-weight: 400\;">How the benefits of cloud technologies apply to data lakes?</span></li>\n<li style="font-weight: 400\;" aria-level="1"><sp an style="font-weight: 400\;">Statistics about Hadoop\, data lakes\, and c loud adoption and migration</span></li>\n<li style="font-weight: 400\;" ar ia-level="1"><span style="font-weight: 400\;">Future directions for data l akes including multi platform architectures\, hybrid lakes\, virtual lakes \, and relational lakes</span></li>\n</ul>\n<p><span style="font-weight: 4 00\;">At the end of the session\, a souvenir was presented to the guest sp eaker and he was also entertained by refreshment\, which was arranged by I EEE UCP Student branch.</span></p>\n<p><strong>Impact of Event on Communit y:</strong> <span style="font-weight: 400\;">In this workshop\, students l earnt about:</span></p>\n<ul>\n<li><span style="font-weight: 400\;"> Data lakes: what they are and what they can do for your organization</span></li >\n<li><span style="font-weight: 400\;"> Real-world use cases for data lak es in data warehousing\, analytics\, self-service data practices\, and ope rations</span></li>\n<li><span style="font-weight: 400\;"> The origin of H adoop data lakes: why some are on relational databases and others are on m ultiple platforms</span></li>\n<li><span style="font-weight: 400\;"> Why t he cloud is becoming the preferred platform</span></li>\n<li><span style=" font-weight: 400\;"> How Hadoop's limitations affect data lake success</sp an></li>\n<li><span style="font-weight: 400\;"> How the benefits of cloud technologies apply to data lakes?</span></li>\n<li><span style="font-weigh t: 400\;"> Statistics about Hadoop\, data lakes\, and cloud adoption and m igration</span></li>\n<li><span style="font-weight: 400\;"> Future directi ons for data lakes including multi platform architectures\, hybrid lakes\, virtual lakes\, and relational lakes</span></li>\n</ul> END:VEVENT END:VCALENDAR