- AWS Storage Offerings and When to Use - Big Data Included!
Location Direct Supply Innovation & Technology Center, 1020 N. Broadway Food and Beverage at 5:15pm Presentation at 6 Networking till 8 UPDATE: Direct Supply looks forward to hosting Thursday's event at our Innovation and Technology Center (ITC) at 1020 N Broadway in downtown Milwaukee. Street parking is available all around and becomes free at 6pm. All meters take credit cards (at the meter) or pay with the MKE PARK app on your smartphone. SEE SPECIAL ENTRANCE INSTRUCTIONS AT THE BOTTOM. Many thanks to our friends at HashiCorp for providing food for this Meetup! ABSTRACT: As cloud computing continues to mature, there are an increasing number of storage technologies coming to market. In this session, we’ll take a look at the offerings available in Amazon’s cloud and when to use them. We’ll also talk about storage options for large data sets and Amazon’s recommendation for architecting with their Elastic Map Reduce platform. Time for Q&A - please come bearing questions! BIO: Dave Stauffacher is a Principal Platform Engineer at Direct Supply. For the last 15 years, Dave has specialized in data storage and protection, most recently focusing on patterns and techniques for architecting in the cloud. Dave has been invited to present at several cloud industry events, including the 2018 AWS Re:Invent conference. Dave works closely with Amazon’s product development teams, helping provide feedback on product roadmaps and capabilities. When not evangelizing the cloud, Dave can often be found out in the woods, leading a boy scout troop on all sorts of wilderness adventures. TO ENTER THE BUILDING: The Direct Supply ITC is in the midst of major renovations to its lower floors. Just this week, the main entrance on Broadway is now closed and has been re-routed around to the back of the building. To get to the new back entrance, please note the new cement walkway that starts on the SouthEast corner of the intersection of N Broadway and E Highland Ave (just north of the ITC still on Broadway). This new cement walkway first runs between a black metal fence and a construction office trailer as you walk back south toward the ITC, then snakes around the building along the north edge. A section of the path is covered as you come around the northeast back corner of the building. You emerge by double glass doors where a Direct Supply partner welcomes you to use our brand new elevator and proceed to the 3rd floor. Later in the evening when you depart, either use the elevator and reverse the route you came or use the exit stairs on the south end of the building (just past the bar on the third floor). Please do not arrive before 5:00pm. Direct Supply Partners will be on hand to admit people from 5:00 until about 6:15.
- Privacy Standard Impacts on Healthcare Database Architecture
Abstract: Widespread data warehouse implementation, image de-identification services, natural language processing capabilities, and machine learning have revealed unprecedented opportunities to utilize epidemiological techniques to define, describe, and examine pressing challenges in human health. Though the benefits of conserved database specifications are increasingly appreciated, individual-level data on environmental exposures, clinical care, and health outcomes implicitly reside in disconnected data systems. International privacy standards differ producing efficiencies and challenges based on the country in which epidemiological research is conducted. Attendees will be introduced to contrasting privacy standards and corresponding linked database architectures. The presenter will share linkage techniques and statistical solutions using contemporary investigations in transfusion medicine research. Biographical Sketch: Dr. Walter Bialkowski has multi-dimensional clinical research expertise built on a foundation of managing large NIH-, FDA-, and DoD-sponsored clinical research programs. He is an expert at directing complex research programs and tailoring clinical studies to appropriate levels of regulatory oversight. He completed his Master’s degree in Comparative Pathobiology at Purdue University where he studied the effects of fungicides on non-target species. He completed doctoral training in clinical study design and epidemiology at Marquette University and served as the principal investigator of the ALTRUYST trial (NCT[masked]). He concurrently led an NIH-funded pharmaco-epidemiological analysis of patients taking oral anticoagulation experiencing major hemorrhage. Walt provides unique insight into how big data can be leveraged to answer pressing health questions. Parking: Street parking prior to 5:30pm. After 5:30, parking is available in the 18th Street surface lot. Building Access: Please enter through the main door. A member of the MKE Big Data group will let you into the building. Sponsorship: Amazon Web Services - AWS - Carson Diltz 5:15 - 6:00pm - Networking / pizza and soft drinks 6:00 - 7:30pm - Presentation
- What's New in Apache Hive 3.1?
Apache Hive is a constantly evolving project which continues to enjoy great adoption in the big data ecosystem. As Hive continues to grow its support for analytics, reporting, and interactive query, the community is hard at work in improving it along with many different dimensions and use cases. This talk will present and demo the latest & greatest features and deep performance optimizations including: * Kafka and Spark integrations * Query federation to Druid and RDBMSs * Transactional system advancements (ACID v2) * Materialized view query rewrites * Query federation to Druid and RDBMSs * Workload management & Query guardrails * Query result cache and more! Meetup Sponsor: Hortonworks/Cloudera 5:15pm - 6:00pm - Networking, Food and Beverages 6:00pm - 7:00pm - Data Science Career Panel Discussion 7:00pm - 7:30pm - Networking Bio Bill Preachuk is employed by Hortonworks as a Hadoop Solutions Engineer in the Twin Cities. He has almost 3 decades (yikes!) of experience doing all forms of data-related work -Database Administration, EDW, Performance Tuning, System Architecture. Bill specializes in Ingestion, Data Design, and BI Analytics for the broader Hadoop ecosystem: Hive, Druid, Sqoop, NiFi, Data Movement, EDW Augmentation, and Data Archival. He also runs the Data Transformation & Analytics Subject Matter Expert (SME) program for Hortonworks.
- Special Event: Data Science Career Panel
So you want to be a Data Scientist? or Data Engineer? or Data Analyst? Please join with other Big Data and Analytics enthusiasts for a special “Year End” panel discussion. We have outstanding Milwaukee data practitioners who will share their stories and perspectives on data science / advanced analytics careers. Each of our panelists has a story to tell about how their careers put them in the hottest technology field on the planet. They will discuss the skills they developed, the path they took and the types of roles in their organizations. We are looking for a lively moderated discussion with you, our members, asking great questions. Meetup Sponsor: Splunk> 5:15pm - 6:00pm - Networking, Food and Beverages 6:00pm - 7:30pm - Data Science Career Panel Discussion 7:30pm - 8:00pm - Networking Marquette Parking: Use this link to the Marquette Campus Map for near-by parking. Note our venue, Cudahy Hall Room 001, is building 19 on the map. The Well's street parking ramp (67 on map) is of ample size and about a two block walk from Cudahy Hall. http://www.marquette.edu/campus-map/marquette-map.pdf
- Big Data in the Cloud
Come join us for an interactive discussion on Big Data / Analytics and the Cloud. Two technology veterans will lead a discussion on the continued trend leveraging public cloud infrastructures. This is a fast moving and ever-changing topic. Technical obstacles are changing. Business and economic options are expanding. The mix of private and cloud infrastructure requires a flexible, agile approach. Brian Baillod of Cloudera and Rick Jansky of Splunk will present and lead discussions. Come ready for an interactive, thought-provoking session. Meetup Sponsor: Splunk • 5:15 - 6:00pm Food and Networking • 6:00 - 7:00pm Presentation • 7:00 - 8:00pm Additional Networking / Discussion Milwaukee Big Data events are free and open to all. We encourage you to RSVP and feel free to bring a friend.
- 2018 Big Data Wisconsin Conference
Join with big data and advanced analytics enthusiasts at the third annual Big Data Wisconsin Conference on Wednesday August 1 at Marquette University's Alumni Memorial Union! New this year are pre-session tutorials Tuesday afternoon July 31 followed by a networking dinner that evening. Purchase a full conference pass to attend the entire event or attend just the sections you desire. Discounted admission offered for college students and faculty. Attendees from out of town have the option of staying right at Marquette for a very reasonable cost. Please click on the link (https://www.bigdatawisconsin.org) to visit the conference website, then use the registration button on the conference website to sign up. PLEASE NOTE - YOU MUST REGISTER VIA THE CONFERENCE WEBSITE - replying to this meet-up will not get you into the conference. Big Data Wisconsin is organized by volunteers, including several co-organizers of MKE Big Data and Madison Big Data. Vendors also help sponsor the event which keeps registration costs low. Why do we do it? To provide an event where local professionals can showcase what's going on right here in the Midwest!
- Open Mic Night at MKE Big Data!
Join together with fellow MKE Big Data members for our summer 2018 Open Mic Night! Similar to last year, this is a time for members to share shorter updates on Big Data and Advanced Analytics projects they're working on. Many thanks to PKWare for opening up their excellent facilities to us! And thanks to Cloudera for providing Pizza! https://www.surveymonkey.com/r/MKE_Big_Data_July11
- Meet the MeetUps
Food & beverage: Heavy appetizers served, one complimentary beverage Programming will include: • Discussion & interaction among Milwaukee's top tech Meetups to build momentum, energy & excitement around the local tech community! • Enjoy panel discussions featuring top tech leaders from Southeast Wisconsin discussing topics such as digital innovation, AI, blockchain, talent, building Milwaukee's tech community, etc. • More details to follow!
- Putting Advanced Analytics into Production - A Panel For Our Times!
FOOD SPONSOR: Hortonworks SCHEDULE: --> Pizza at 5:15 ----> Panel begins at 6pm ------> Stay after till 8 to network and talk to panelists DETAILS: The panel is assembled and looking forward to our meetup on Monday April 16th! Please join us as our panelists share their real life experiences putting Big Data Analytics into Production. After each shares their story, our moderator alternates asking deeper questions and inviting the audience to do the same. The panel will run for at least an hour, possibly up to 7:30. It's sure to be a great event!! PANELISTS: -> David Walechka, Decision Science Technology Lead; Northwestern Mutual -> Blake Ward, Director of BI Architecture; Marquette University -> RJ Nowling, Data Science Engineer; Adroll, Inc. BIOS: David Walechka is the Decision Sciences Technology Lead for Northwestern Mutual. He oversees a small team of data scientists and technologists working on complex, large scale machine learning problems. He pioneered some of the first machine learning models at Northwestern Mutual and implemented the first set of algorithmic underwriting models. He has 15 years’ experience working with data and analytics technologies having previously held roles as Senior Information Architect and BI Consultant. Blake Ward is a data engineer who has been working with data and analytics for the past 10 years. He is currently the Director of BI Architecture for Marquette University and previously worked at Johnson Controls on the Big Data team building out the company's Enterprise Data Lake. He enjoys working with both the front end and the back end of analytics projects and has experience building analytics projects from the idea stage to fully production ready solutions. Starting with a Ph.D. in scientific computing, RJ Nowling has navigated the technical details of machine learning at scale in both research and production environments over the last 10 years. RJ is currently a data science engineer on a team at AdRoll, Inc. that built and operates a recommendation system for online advertising. Before AdRoll, RJ was a software engineer at Red Hat, Inc., where he contributed to Apache Spark, developed demo applications, and presented tutorials at conferences. Passionate about education, RJ is also an adjunct instructor for Marquette’s M.S. in Computing program and co-organizer of the MKE Big Data meetup and Big Data Wisconsin conference.