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PASS Community News September 2017

PASS Summit 2017 Join us at PASS Summit for five educationally-packed days led by highly-rated, experienced speakers to meet your learning needs. PASS Summit October 31 – November 3, 2017 in Seattle, WA, USA PASSsummit.com P.S. Don’t forget to promote your discount code for gift cards and comps!

PASS Summit 2017 – Community Hosted Events Women in Technology Happy Hour & Networking Event SQL Karaoke Games Night Know of other events, or planning something special? Let us know at: communityteam@pass.org More details & registration links at: pass.org/summit/2017/About/Activities.aspx

PASS Board Elections Congratulations to the Candidates! John Martin Chris Hyde Ed-Leighton-Dick Chris Yates Diego Nogare View the Candidate Slate and their weightings at: pass.org/Governance/Elections/Candidates.aspx Follow the PASS Elections on Twitter! Join us for two pre-voting campaign Twitter Chat sessions on Tuesday, September 19 (10am PDT/17:00 UTC & 1pm PDT/20:00 UTC). Learn more about the candidates, bring your comments/questions and follow the elections Twitter hashtag #PASSelections. 5

Voting Opens on Tuesday, September 20! Vote & Win Contest (September 20 – 26) Eligible voters have the chance to win a grand prize – a full three day general PASS Summit 2018 Registration. For more details, follow us on Twitter @sqlpass 6

Upcoming Virtual Group Webinars MEETING DATE TOPIC DBA Fundamentals September 19 11:00 AM – 12:00 PM (UTC- 05:00) Shortcuts from an Impatient DBA – Andy Mallon Database Administration September 20 08:30 PM – 09:30 PM (UTC- 04:00) Linux OS Fundamentals for the SQL Admin Women in Technology September 21 12:00 PM – 01:00 PM (UTC- 04:00) He’s Assertive, She’s Aggressive: Recognizing patterns of unconscious bias in the workplace Business Analytics September 21 11:00AM – 12:00 PM (UTC-05:00) Visualizing Financial And Economic Data (Using Power BI and R) September 27 12:00PM – 01:00 PM (UTC- 04:00) Continuous Deployments using SSDT Global Italian September 27 06:00PM – 07:00 PM (UTC+02:00) Workload replay con RML Utilities e Distributed Replay

PASS Virtual Groups

Upcoming SQLSaturdays US/Canada EMEA September 16 Bucuresti September 16 Katowice September 16 Durban September 16 Toulouse September 23 Madrid September 23 Gothenburg September 30 Holland September 16 Denver September 16 Wausau September 23 Spartanburg September 23 Phoenix – BI Edition ! September 23 San Diego September 23 Boston – BI Edition September 30 Pittsburgh LATAM APAC September 30 São Paulo Visit sqlsaturday.com to register for an event near you!

Welcome! Power BI User Group (PUG) Welcome and thank you for attending the <PUG NAME> Power BI User Group Meeting! We have a fun and exciting meeting planned. [Insert Local User Group Name Here]

Arizona SQL Server Users Group Stay Involved! Sign up for a free membership today at sqlpass.org Linked In: http://www.pass.org/linkedin Facebook: http://www.pass.org/facebook Twitter: @SQLPASS PASS: http://www.pass.org Arizona SQL Server Users Group Linked In: Group name Arizona SQL Server Users Group (AZSSUG) https://www.linkedin.com/grp/home?gid=6923535&sort=RECENT Twitter: @AZSSUGSQLPASS PASS: http://arizona.pass.org Meetup: http://www.meetup.com/Arizona-SQL-Server-User-Group/

Innovation + +

http://diginomica.com/2017/04/19/will-microsofts-serverless-future-turn-into-a-faas/ https://www.geekwire.com/2017/serverless-nirvana-microsoft-azure-cto-mark-russinovich-future-cloud/

Uses for server less architecture. By enterprises and large ISVs as an integration and scripting tool for legacy applications By start-ups and small ISVs to build backend services By IoT users to process data ingested into Azure Accuweather routinely replicates and processes logs of API calls from customers, triggering actions based on the data analysis. Its original method used persistent VMs and storage with cron jobs scheduled to move and analyze the data. These have been replaced by Functions that only trigger when needed, saving significantly on infrastructure cost and administrative overhead. Plexure, a location-based CRM product, has replaced a fleet of VMs and containers with Functions that ingest and analyze IoT data and create custom notifications when customers are in proximity to an in-store display or device. My example Kespry -http://kespry.com/customers/customer-stories Quoted from Kurt Marko – diginomica.com – April 19, 2017 (http://diginomica.com/2017/04/19/will-microsofts-serverless-future-turn-into-a-faas/) http://diginomica.com/2017/04/19/will-microsofts-serverless-future-turn-into-a-faas/

Intelligence in the Cloud! Serverless Architecture with Azure Commands IoT Hub Azure Functions Navigational Data Azure Machine Learning

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2017 Guardian Drone Angel Cyberdyne <Title>

Intelligence in the Cloud! Serverless Architecture with Azure Commands IoT Hub Azure Functions Navigational Data Azure Machine Learning

Innovation + +

Don’t forget to thank your Sponsors

Challenge 1 – self-updating and Sensing Neudesic – Innovation Challenge Using GitHub through Heroku to rapidly deploy an have Continuous Integration IoT solution for GDA. Using Azure Text to Speech and Speech recognition API and Azure Facial recognition to receive a command and search for a person recognizing that person and finishing out a command. Micro-Challenges Challenge 2 - intelligent Using Azure Bot Service we will make Cortana channel calls to write out commands to Azure SQL db. The Drone will then take the queued up commands and implement them per request. Training the drone to make intelligent decisions based of a knowledge base. 3 micro challenges or stages that are building blocks to formulate a viable IoT solution to help every day problems. Challenge 3 - assisting Intelligent actionable data then will be passed to the Drone to help assist in day to day operations as well as in emergency situations, finding someone and bringing them back to a certain location safe.

“Creativity is Intelligence having fun!” https://hbr.org/2011/08/henry-ford-never-said-the-fast Ford didn’t innovate in creating new technology, he innovated by using what was given to him, he didn’t create the assembly line, interchangeable parts, or the automobile. He took advantage of those and brought them together to form a work horse that produced a competitive product at a lower price than all the competitors. This is what we need to do to create and use Drone Self Autonomous flying machines. “Creativity is Intelligence having fun!” Albert Einstein

INtelligence Second Challenge – implement a solution that harnesses self resolving solutions and make the drone autonomous. Machine Learning Model Azure Bot Services Using Maps to search for people

Problems Drone Connectivity Works off of WIFI Cyberdyne Drone Connectivity Works off of WIFI Create Access Point(Hacking not easy) Database to run commands from on desktop Stores commands to run on drone. Too much weight AR Drone 2.0 can’t support Raspberry PI 3 When mounted Drone flew 6 inches off of ground. Problems With every problem there lays a solution.

Solutions A-GSM Shield for Internet connectivity Cyberdyne A-GSM Shield for Internet connectivity Connected to Raspberry PI 3 by GPIO pins. Resolves not having to use cell phone or connecting to wireless router. Parrot Bebop 2 The size and power holds the solution on its back. Allows for use of mapping and following features. Azure Bot Services – Cortana Channel Handles all voice communication to server less architecture. Solutions Sometimes Solutions are tough to implement.

Intelligence – decision making Map A – safer route

Map B – faster route but more dangerous

Train to create an intelligent Bot and Drone! Decision bot Create a Knowledge base for Question and Answer Bot Train to create an intelligent Bot and Drone!

INterdrone International Drone Conference https://www.youtube.com/watch?v=DPCI5Hxn8R4