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Viewing 14 past events matching “DAMAPDX” by Event Name.
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Thursday
Jul 19, 2018
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@DAMAPDX "Real Time Databases" with Amit Vij – Standard Insurance Center Auditorium Presented by Amit Vij (Standard Ins. Atrium) Kinetica, President & Co-founder RSVP at https://www.eventbrite.com/e/rsvp-for-damapdx-real-time-databases-with-amit-vij-tickets-46502705845 Free for Members! $15 for Non-Members $5 for Students with valid student ID Modern business is fluid. Critical business events must be responded to when they occur. Delays mean lost opportunities and sub-optimal outcomes. Modern analytics must be as agile as the business itself. The days of looking at your data in the rear-view mirror are coming to an end. We are at the dawn of a new analytic revolution: the real-time database. Millisecond latency is the new analytic performance standard. A new class of GPU-accelerated databases enable this level of performance. GPU-accelerated databases are over 100x more performant than even the “fastest” in-memory data stores. GPU-accelerated databases can provide extreme levels of scalability without negative performance impacts. They are also easy to implement; thanks to their use of ANSI-standard SQL and hybrid visualization capabilities. This makes them particularly attractive for some of the most demanding analytic tasks; like scoring of predictive models, and geospatial visualizations. Join Amit Vij from Kinetica to learn how GPU-accelerated databases can enable real-time businesses. Speaker Amit is President and Co-Founder of Kinetica. Amit is responsible for the vision and strategic decisions for the company. Having a background in computer engineering, he has over a decade of software development experience in the commercial and federal space, with an emphasis in analyzing and visualizing big data, and helped architect Kinetica. Amit served as the chief GEOINT technical architect as a contractor for a major Top Secret cloud initiative between the US Army, NSA, and the DIA. Prior to Kinetica, Amit was a subject matter expert on geospatial intelligence with General Dynamics AIS and had been chief architect for several Department of Defense and Department of Homeland Security contracts. Amit received a B.S. in Computer Engineering from the University of Maryland with concentrations in Computer Science, Electrical Engineering, and Mathematics. When July 19th, 2018 (Chapter Meetings, 3rd Thursday) Schedule 8:30 – 9:00 am – Sign In 9:00 – 10:15 am – Presentation 10:15 – 10:30 am – Break, Chapter Announcements 10:30 – 11:30 am – Presentation continued Standard Insurance Tower (900 SW 5th, please note Standard Ins. has multiple downtown locations) Atrium Room at top of lobby escalators Nearby parking options that are reasonably priced: Smart Park (818 SW 4th Ave, Portland, OR 97204) Fifth Taylor Park (545 SW Taylor St, Portland, OR 97204) City Center Parking (337 SW Salmon St, Portland, OR 97204) Cost Free for Members! $15 for Non-Members $5 for Students with valid student ID See our corporate members |
Thursday
Jun 18, 2020
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@DAMAPDX Chapter Meeting June 2020: Predictive Analytics with BigQuery ML with Jimmy Ruiz – Zoom Conference https://damapdx.org/2020/06/08/june-2020-predictive-analytics-with-bigquery-ml/ In this session a Customer Engineer from Google will provide an introduction to BigQuery and BigQuery ML. About this Event Presented by Jimmy Ruiz, Google Cloud Platform Engineer DAMAPDX chapter meetings free to members, suggested donation for online events (pay what you can) Abstract What is BigQuery? BigQuery Architectural Overview BigQuery Demo Introduction into BigQuery ML Demo: Predict GA 360 User Conversions with BigQuery ML In this session, a Customer Engineer from Google will provide an introduction to BigQuery and BigQuery ML. Attendees will learn some key concepts, use cases, and see BigQuery in action. Where RSVP for Zoom link Date – Thursday, June 18th Time – 8:30 – 10:30am |
Thursday
May 21, 2020
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@DAMAPDX Chapter Meeting May 2020: Data Prep Using Microsoft Dataflows – Zoom Conference Presented by Dharmesh Godha, Advaiya Abstract Preparing and defining ETL for insights is a significant challenge for businesses today — as ingestion, cleansing, transformation, and enrichment are labor-intensive and time-consuming tasks which require deep technical skills. With this in mind, Microsoft has recently introduced advanced data prep with dataflows for the Power Platform, a suite of self-service low-code/no-code features and capabilities for business analysts and citizen developers to easily process and unify their data and store it in Azure-based data-lake storage. With these new capabilities, Microsoft offers a solution for any business need — whether you want to prep your data with ease, using a familiar built-in Power Query experience, or leverage the full Azure stack for more advanced use-cases. By attending this virtual event, hosted exclusively for DAMA Portland members, you will learn everything you need to know about dataflows and how to easily prep your data, leverage Common Data Services (CDS) improve time-to-value, eliminate data silos, and create one source of truth for your organizational insights. What You Will Learn Learn why Self-Service Data Preparation is important Hear the latest about Common Data Service (CDS) and Common Data Model (CDM) Gather insights about dataflows Observe live Demos Time for attendee Q&A Where RSVP for Zoom link Date – Thursday, May 21st Time – 8:30 – 10:30am |
Thursday
Sep 17, 2020
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@DAMAPDX Chapter Meeting September 2020: How VPNs Work- The Ins and Outs with Daniel Lenski, PhD, OpenConnect – Zoom Conference RSVP at DAMAPDX.org for registration info for this online event. Presented by Daniel Lenski, PhD Virtual private network (VPN) software creates a connection between peers across a wide-area network (normally, the Internet!) and builds an encrypted tunnel that behaves like a direct connection to the same local, private network. VPNs have become a pervasive feature of modern workplaces, and even more indispensable in this era of COVID-19 and widespread remote work. The most widely-deployed VPN client and server software in workplace environments — including Cisco AnyConnect, Juniper/Pulse Networks, PAN GlobalProtect, and others — is all proprietary and closed-source. These VPNs differ in idiosyncratic ways, ranging from authentication to security requirements imposed on the client computers. Combined with bugs, missing features, and often mystifyingly vague error reporting, they can be very difficult to use, especially for those who need to access multiple VPNs. Under the hood, however, they all work in extremely similar ways. The speaker is one of the main developers of OpenConnect, an open-source VPN client which can connect to all of the aforementioned VPNs using a common interface (with several others in development). In this talk, he will explain in detail how modern client-server VPNs work, in terms of authentication, encrypted tunneling, Internet protocol routing, and client roaming. He will illustrate how the operation of a VPN can be reverse-engineered and reimplemented in OpenConnect, using an implementation of PAN GlobalProtect as an example. He’ll show some of the advantages of being able to connect to different VPNs in a consistent and automated way, which can be particularly indispensable for those who work as consultants or vendors to multiple companies using different VPNs. Finally, he’ll discuss some recent and ongoing developments in VPNs and other kinds of remote connectivity software Speaker Daniel Lenski received his PhD in semiconductor physics and has worked at Seagate, Intel, and Amazon Elemental, and he has been using Linux and open-source software since the ’90s. He started modifying and contributing to OpenConnect out of the necessity of interfacing with many different companies’ VPNs while at a semiconductor consulting startup (FPS, now part of Inficon) and has continued developing it as a side project. Where Virtual event, RSVP for Zoom registration details When Date – Thursday, Sept. 17th Time – 8:30 – 10:30am |
Thursday
May 17, 2018
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@DAMAPDX Chapter Meeting: All Those Other Important Parts of Data Modeling: Security, Privacy and More – Standard Insurance Center Auditorium Presented by Karen Lopez, Senior Project Manager and Architect at InfoAdvisors AbstractModern database systems have introduced more support for security, privacy and compliance over the last few years. We expect this to increase as compliance issues such as GDPR and other data compliance challenges arise. In this session, Karen will be discussing the newer features from a database designers points of view, including:
We'll look at the new features, why you should consider them, where they work, where they don't, who needs to be involved in using them, and what changes, if any, need to be made to applications or tools that you support. SpeakerKaren is a senior data architect with an extensive background in development processes and data management. She specializes in taking practical approaches to solutions development. Karen has helped many IT organizations choose appropriate methods and standards based on the group's culture, experience, and focus. She is an international speaker on modern development and design processes, specializing in engaging, often irreverent presentations on data and career-related topics. She blogs at datamodel.com and can be found on Twitter @datachick. CostFree for Members! $5 for Students with valid student ID $15 for Non-Members See our corporate members at |
Thursday
Apr 19, 2018
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@DAMAPDX Chapter Meeting: The Metadata Catalog and the Modern Data Lake – Standard Insurance Center Auditorium Presented by Andrew Ahn, VP Product Management at Waterline Data AbstractHow to leverage metadata & spark to manage traditional data sources and the modern data lake. A discussion of Waterline Data's approach to discover and understand relational database, Hive, HDFS, and Blob stores. SpeakerPrior to Waterline, Andrew was Director of governance strategy, product management covering Apache Falcon and Apache Atlas technologies and products. He was as also an Apache Atlas committer. Prior work includes Product and Governance duties for the NYSE Euronext where he worked in the Chief Data Office and was responsible for the product development roadmap. CostFree for Members! $5 for Students with valid student ID $15 for Non-Members See our corporate members at https://damapdx.wordpress.com/about-damapdx/corporate-members/ |
Thursday
Jan 23, 2020
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@DAMAPDX January Chapter Meeting: Introduction to Open Source Software in the Enterprise – Standard Insurance Tower Atrium (900 SW 5th) Join us for an introduction to use of Open Source (OS) software in the enterprise. We will learn: What is OS software? - Benefits and risks of using OS software - Types of OS licenses, which licenses are business-friendly, and how they apply to various use cases - Basics of OS compliance and risk management in the enterprise - Tools for automating compliance About the Speaker Joanna Lee is a tech-focused attorney (and geek at heart) at the law firm of Gesmer Updegrove LLP, where she advises tech companies, open source software foundations, and technology standards consortia. Schedule 8:30 – 9:00 – Snacks and warm-up 9:00 – 10:30 – Presentation Standard Insurance Tower Atrium (900 SW 5th, please note Standard Ins. has multiple downtown locations) Cost Free for members (including ALL employees of corporate members) $15 for non-members $5 for students with valid student ID |
Wednesday
Mar 4, 2020
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@DAMAPDX Kafka Fundaments with Brian Walter from Confluent – Standard Insurance, Atrium Room Presented by Brian Walter Confluent Includes a demo and extended Q&A session When March 4th, 2020 Schedule 8:30 – 9:00 – Snacks and warm-up 9:00 – 10:30 – Presentation Standard Insurance Tower Atrium (900 SW 5th, please note Standard Ins. has multiple downtown locations) Cost Free for members (including ALL employees of corporate members) $15 for non-members $5 for students with valid student ID |
Thursday
Apr 16, 2020
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@DAMAPDX March 2020: MongoDB with Jai Karve from MongoDB – Virtual Register for virtual conference code; https://www.eventbrite.com/e/rsvp-for-damapdx-mongodb-with-jai-karve-from-mongodb-tickets-95641639719 High level “Who is MongoDB” MongoDB Architectural Overview The Document Data Model Intelligently Place Data Where You Need It Freedom to Run Anywhere Live Atlas demonstration MongoDB has become one of the fastest growing databases since its inception a little over 10 years ago. In this session, representatives from MongoDB will provide an introduction to the fundamentals of the database, including data storage, data retrieval, and deployment. We will also walk attendees through a demonstration of Atlas, our fully-managed database-as-a-service. Attendees will gain a deeper understanding of where MongoDB shines, and how to get started using MongoDB for their own projects. When April 16th, 2020 (Chapter meetings held on third Thursday of the month) Schedule 8:30 – 9:00 – Warm-up 9:00 – 10:30 – Presentation Location TBA Cost Free |
Thursday
Oct 22, 2020
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DAMA Day 2020: "Data... In SPACE!" with NASA Scientists, sponsored by Snowflake – Virtual Presented by NASA Scientists Sponsored by Snowflake Calling all data enthusiasts and/or space nerds in Portland, Oregon and beyond. Join us for an exciting, all-day virtual event with NASA scientists. Attendees will work with actual NASA data and have an opportunity to collaborate on matters of data analysis directly with our presenters. Opening Remarks: 8:30 AM: DAMA PDX Board Morning Session: 9AM – 11:30 AM: Eric Lyness and Victoria Da-Poian, NASA Eric Lyness is the NASA software and operations lead at Goddard Space Flight Center for the Mars Organic Molecule Analyzer on the ExoMars 2020 rover and Victoria Da-Poian is an Aerospace Engineer. They will present their talk, Machine Learning to Find Life on Mars and Beyond. In 2021 the European ExoMars rover will land on Mars with the Mars Organic Molecular Analyzer (MOMA) laboratory to analyze soil samples searching for past or present life. NASA is developing machine learning algorithms to help the scientists more quickly analyze the data when it arrives from Mars. In this talk, we will present the current work using MOMA mass spectrometer data acquired during ground testing. Using this data we are aiding the scientists by matching new spectra with the most similar spectra from past experiments. We will present the nuances of mass spectra, our limitations with respect to data, and our approach to the problem. We hope to elicit feedback from the attendees. More details at https://phys.org/news/2020-06-nasa-life-mars.html. 30 minute Break Lunch Session: 12:00 – 1:00 PM: Snowflake Presentation, Drew Swanson and Brian Whittington 30 minute Break Afternoon Session: 1:30 PM – 3:30PM: Details soon! 15 minute Break Closing Remarks and Next Steps: 3:45 – 4:00 PM: DAMA PDX Board Times above may be revised in the days before our event. Event will be presented via a Zoom bridge. Analytical discussions and collaboration will be hosted via a Slack workspace that will begin on event day and last for a few weeks afterwards. This is a BYOAE (bring your own analytical environment). However, attendees will have access to the data via Snowflake and to notebook templates via Zepl. Pre-event tasks for analysis setup will be shared on 10/19 via email. Date – Thursday, Oct. 22nd Time – 8:30 – 4:00pm NOTE: This is an all day event |
Wednesday
Oct 23
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DAMA PDX Happy Hour – The Headliners Club When: Wednesday, October 23 @ 5:30pm – 7:00pm What: Drinks and light appetizers ($10 covers snacks and two drink tickets) Where: The Headliners Club (17880 SW McEwan Rd, Lake Oswego) Why: Networking, Volunteer & Board Opportunities, Review 2024 Survey Results, Create New Connections How: Click below to RSVP today, space is limited! |
Thursday
Mar 16, 2023
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Data PDX: Data Governance with Dataplex (RESCHEDULED) – Google Portland 555 SW Morrison St, Suite 500, Portland OR Speaker Kamran Shirazi, Google Cloud Kamran started his career at Teradata as a DWH consultant in 2006, after completing his bachelors in computer sciences with majors in Data warehousing and Data Mining. He worked in Europe with large financial and telecom companies before moving to Portland in 2010. As BI Architect at Nike, he led the DWH CoE group that owned the creation of design patterns and data modeling standards. Later, he joined Intel as an Engineering Manager and led the migration of a mission critical SQL Server platform to the cloud. Kamran carries over 15 years of experience in the data management space and holds certifications in Snowflake, Teradata and Google Data Engineering. Abstract Data Governance Overview Components of Data Governance Data Governance through Dataplex Key Features Use Cases Demo Q&A RSVP for entry ticket. This is an IN PERSON event at Google Portland Cost Free! (suggested donation $5 for non-members) If you’ve paid any DAMA membership dues during 2019-2021 or are an employee of a corporate member, please choose Member RSVP. Where 555 SW Morrison, Portland, OR Suite 500, Meier and Frank building RSVP for entry, this is an IN PERSON event Time – 4pm |
Monday
Dec 5, 2022
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Data PDX: Kùzu Graph Database Management System – Online via Google Meet Bio: Semih Salihoğlu is an Associate Professor and a David R. Cheriton Faculty Fellow at University of Waterloo. His research focuses on developing systems for managing, querying, or doing analytics on graph-structured data. His main on-going systems project is Kùzu, which is a new graph database management system that integrates novel storage, indexing and query processing techniques. He holds a PhD from Stanford University and is a recipient of the VLDB 2018 Best Paper and the VLDB 2022 Best Experiments and Analysis Paper awards. Abstract: In this talk, I will present the Kùzu graph database management system (GDBMS) that we are developing at University of Waterloo. Datasets and workloads of popular applications that use GDBMSs require a set of storage and query processing features that relational DBMSs (RDBMSs) do not traditionally optimize for. These include optimizations for: (i) many-to-many (m-n) joins; (ii) cyclic joins; (iii) recursive joins; (iv) semi-structured data storage; and (v) support for universal resource identifiers. Kùzu aims to integrate state-of-art storage, indexing, and query processing techniques to highly optimize for this feature set. I will start by presenting the overall vision of Kùzu and then talk about the novel join operators in the system that performs joins using compressed factorized representations of intermediate tables. Kùzu is actively being developed to be a fully functional open-source DBMS with the goal of wide user adoption and under a permissible license. |
Thursday
Jan 19, 2023
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Data PDX: The Data Lakehouse with Bill Inmon – Online via Google Meet Bill Inmon known as the father of the data warehouse and has written 68 books, selling over a million copies in total and translated into 9 languages. Bill was named by Computerworld as one of the ten most influential people in history of computing. Bill’s company, Forest Rim Technology, has created textual ETL which reads raw text and turn it into a database. Bill lives in Denver Colorado with his wife and his two Scotty dogs. Abstract Certain vendors have suggested that the organization throw data into a data lake and then let end users analyze the data in the data lake. The data lake quickly turns into a data swamp or sewer. No one gets any value out of the data lake. In order to turn your data into something useful you need to turn your data lake into a Data Lakehouse. This presentation is all about the evolution of architecture and how to start to get value out of your data lake. What You Will Learn In this presentation Bill will discuss: · The evolution of data architecture · Data Lakes – where did they come from · The Data Lakehouse and the analytic infrastructure · Getting a handle on text – text analytics RSVP for Google Meet or Zoom link Cost Free! (suggested donation $5 for non-members) If you’ve paid any Data PDX/DAMA membership dues during 2019-2021 or are an employee of a corporate member, please choose Member RSVP. Where RSVP for Google Meet or Zoom link Date – Thursday, January, 19th Time – 4pm |