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X-WR-CALDESC:Events for DAMA Houston Data Management Association
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DTSTART;TZID=America/New_York:20231108T160000
DTEND;TZID=America/New_York:20231108T173000
DTSTAMP:20260502T191548
CREATED:20250318T032634Z
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UID:10000005-1699459200-1699464600@www.damahouston.org
SUMMARY:Industry Panel Discussion on Master Data Management
DESCRIPTION:Join us for a high-impact panel discussion featuring thought leaders from banking\, manufacturing\, and oil and gas. We’ll delve into Master Data Management (MDM)\, key pillars for achieving operational efficiency and compliance. \nThis interactive event will cover the following: \n\nHow MDM streamlines data quality\, enhances compliance\, and drives business agility.\nCommon roadblocks like data silos\, regulatory constraints\, and change management.\nEffective strategies for data stewardship\, governance frameworks\, and technology adoption.\n\nOur Panelists: \n\nJeff Green\, Chief Information Officer at Strike\, LLC leading technology and digitization strategy and execution. Recognized by Energy Tech Review as top 10 Energy CIOs in 2023.\nSonali Mathur\, Global Director at General Motors\, responsible for marketing data\, privacy\, and operations. Finalist of Women Leaders in Data and AI (WLDA) 2023.\nAngela Tran\, Director of Strategy and Staff Development at BNY Mellon. Prior experiences: AIG and Discover. Recently presented at CDO Summit Houston on analytics-driven culture.\nVivian Chang\, Data Architecture & Governance Consultant. Delivered MDM Data Strategy and Architecture design for various companies and industries.\n\nThis is a must-attend event for executives and data professionals looking to leverage MDM for strategic advantage. Gain actionable insights and network with industry peers. \nRefreshments will be served.
URL:https://www.damahouston.org/event/industry-panel-discussion-on-master-data-management-2/
LOCATION:Harmony Public Schools Central Office\, 9321 W Sam Houston Pkwy S\, Houston\, TX\, 77036\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230808T160000
DTEND;TZID=America/New_York:20230808T173000
DTSTAMP:20260502T191548
CREATED:20250318T032217Z
LAST-MODIFIED:20250318T033653Z
UID:10000004-1691510400-1691515800@www.damahouston.org
SUMMARY:Speed\, Simplicity\,Self-Service: Accelerating & Automating Data Movement to Cloud
DESCRIPTION:How long does it take your organization to onboard a new data source or dataset into your cloud data platform? By the time you design\, build\, test\, deploy\, document\, and automate a new data pipeline\, it’s likely that days\, weeks\, or months have gone by\, and that’s assuming that the backlog for the data engineering team is minimal. Unfortunately\, every day that goes by chips away at your credibility and relevance. \nDuring this talk and *live demo* you’ll learn how Fivetran accelerates and simplifies data movement and streamlines data pipelines to the cloud addressing critical data challenges for any organization such as: \n\nTime to insight (it’s fast to set up production data pipelines that help deliver data outcomes)\nArchitectural constraints (it’s a pure SaaS service so any infrastructure effort is removed)\nSelf-service (you don’t have to be a data engineer or developer to use Fivetran effectively)\nOperational sustainability (it just works and uptime is 99.9%+)\n\nUsing Fivetran’s fully automated and fully managed data movement service\, you’ll see *live and in real-time* (in less than 10 minutes) how an application data source with customer/account information (Salesforce) and a relational database source with lab analysis information (SQL Server\, Oracle\, PostgreSQL) are both easily and quickly connected to a cloud data platform for a historical sync\, ongoing incremental replication\, and change data capture that produces an understandable\, organized\, and normalized dataset. You’ll also learn how to automatically build aggregations and ready-for-analysis data models in just a few steps from the new customer/account dataset.
URL:https://www.damahouston.org/event/speed-simplicityself-service-accelerating-automating-data-movement-to-cloud-2/
LOCATION:Improving\, 10111 Richmond Ave. # 100\, Houston\, TX\, 77042\, United States
ATTACH;FMTTYPE=image/webp:https://www.damahouston.org/wp-content/uploads/2023/11/525_image_676x380.webp
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230509T160000
DTEND;TZID=America/New_York:20230509T173000
DTSTAMP:20260502T191548
CREATED:20250318T031822Z
LAST-MODIFIED:20250318T033601Z
UID:10000003-1683648000-1683653400@www.damahouston.org
SUMMARY:How to Modernize Your BI and Analytics Architecture with Semantic Layer
DESCRIPTION:4PM: Networking\, 4:30PM: Presentation \nHow to Modernize Your BI and Analytics Architecture\nLearn about using a semantic layer to modernize analytics architecture and accelerate the business impact of AI and BI at your organization.\nThis session will offer practical advice on how to drive AI & BI business outcomes with a modern analytics architecture that leverages a semantic layer. \nYou will learn how to achieve quantifiable results by modernizing your BI and analytics stack with a semantic layer that delivers an order of magnitude better query performance\, increased data team productivity\, lower query compute costs and improved Speed-to-Insights. \nAttend this session to learn about: \n\nGaining business alignment and reducing data prep for your AI and BI teams.\nMaking a consistent set of business metrics “analytics-ready” and accessible.\nAccelerating end-to-end query performance while optimizing cloud resources.\nDelivering speed-of-thought performance – without extracting large data sets or maintaining OLAP cubes.\n\nWho should attend this session?\nAll data & analytics leaders and professionals (E.g. Chief Data Officers\, data analysts\, statisticians\, data scientists\, data engineers\, data literacy\, business intelligence\, and data governance professionals) \nSpeaker: Daniel B Gray | VP\, Solutions Engineering\, AtScale\nBio: Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team\, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center\, Vertica\, and Domino Data Lab. When he’s not in the office or onsite with customers\, you’ll find Daniel running\, climbing\, hiking\, and biking – basically anything outdoors.
URL:https://www.damahouston.org/event/how-to-modernize-your-bi-and-analytics-architecture-with-semantic-layer-2/
LOCATION:The Ion\, 4201 Main St\, Houston\, TX\, 77002\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230203T160000
DTEND;TZID=America/New_York:20230203T173000
DTSTAMP:20260502T191548
CREATED:20250318T031203Z
LAST-MODIFIED:20250318T031242Z
UID:10000002-1675440000-1675445400@www.damahouston.org
SUMMARY:Data Governance Today
DESCRIPTION:Data Governance \n\nWhat is Data Governance?\nWhy it is important and what value it brings to an organization?\nHow to implement Data Governance?\nWhat are the risks that put a data governance project at risk?\n\nSpeaker Bio: \nMichael Slater is a Technical Director of Consulting at Improving. Over his career Michael has held a variety of software development positions in business intelligence\, video game development\, and coding bootcamps. Michael has been with Improving for over 5 years and leads consulting teams to develop awesome solutions for a variety of clients across many industries. A project of note was for an R&D department of a local energy company – developing a real-time analytical application with machine learning at its core.
URL:https://www.damahouston.org/event/data-governance-today/
LOCATION:10111 Richmond Ave. #100\, 10111 Richmond Ave. #100\, Houston\, TX\, 77042\, United States
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