The document discusses the differences between a fixed mindset and a growth mindset. In a fixed mindset, one sticks to what they know and avoids challenges to maintain confidence. In a growth mindset, flaws are seen as things to improve on and challenges are embraced. Those with a fixed mindset give up easily when facing obstacles and see effort as fruitless, while those with a growth mindset persist through setbacks and see effort as part of mastery. People with a fixed mindset also feel threatened by others' success, whereas those with a growth mindset find inspiration in it.
Lumen model jump starting success with oerLumen Learning
Through years of collaboration with faculty and institutions, Lumen Learning has developed not only a growing catalog of road-tested courses designed using open educational resources, but also an engagement approach that helps institutions make a sustained impact with OER. This webinar shares how we develop OER courses and support institutions and faculty through the processes of course adoption, customization and continuous improvement. Gain insight into Lumen’s support model, pricing, and strategies we recommend to help students, faculty and institutions realize the full benefits of OER.
Mobile has forever changed what we expect of brands. It's fractured the consumer journey into hundreds of real-time, intent-driven micro-moments. Each is a critical opportunity for brands to shape our decisions and preferences.
This document contains personal and educational information about Qamar Mahmoud Bader. It lists his contact details, nationality, education history including a bachelor's degree in computer information systems. It outlines his skills in programming, languages, web design, Microsoft Office and training. It also lists the educational skills he gained such as management information systems, modeling and simulation, communication skills and programming languages. Finally, it provides details of his graduation project which was an intellectual disability system designed in C# to teach basic life skills to those with intellectual disabilities.
This document contains contact information for an artist named Tomi Arditya who creates manga. It lists their name, the type of work they do (manga), and a phone number for reaching them at (347) 486-4315. The writing is credited to someone named B1tsh1fter.
The document discusses the differences between a fixed mindset and a growth mindset. In a fixed mindset, one sticks to what they know and avoids challenges to maintain confidence. In a growth mindset, flaws are seen as things to improve on and challenges are embraced. Those with a fixed mindset give up easily when facing obstacles and see effort as fruitless, while those with a growth mindset persist through setbacks and see effort as part of mastery. People with a fixed mindset also feel threatened by others' success, whereas those with a growth mindset find inspiration in it.
Lumen model jump starting success with oerLumen Learning
Through years of collaboration with faculty and institutions, Lumen Learning has developed not only a growing catalog of road-tested courses designed using open educational resources, but also an engagement approach that helps institutions make a sustained impact with OER. This webinar shares how we develop OER courses and support institutions and faculty through the processes of course adoption, customization and continuous improvement. Gain insight into Lumen’s support model, pricing, and strategies we recommend to help students, faculty and institutions realize the full benefits of OER.
Mobile has forever changed what we expect of brands. It's fractured the consumer journey into hundreds of real-time, intent-driven micro-moments. Each is a critical opportunity for brands to shape our decisions and preferences.
This document contains personal and educational information about Qamar Mahmoud Bader. It lists his contact details, nationality, education history including a bachelor's degree in computer information systems. It outlines his skills in programming, languages, web design, Microsoft Office and training. It also lists the educational skills he gained such as management information systems, modeling and simulation, communication skills and programming languages. Finally, it provides details of his graduation project which was an intellectual disability system designed in C# to teach basic life skills to those with intellectual disabilities.
This document contains contact information for an artist named Tomi Arditya who creates manga. It lists their name, the type of work they do (manga), and a phone number for reaching them at (347) 486-4315. The writing is credited to someone named B1tsh1fter.
Modern Data Stack for Game Analytics / Dmitry Anoshin (Microsoft Gaming, The ...DevGAMM Conference
Talk will cover the journey of data platform design and implement for game analytics industry. I will tell about modern data stack. What tools and approaches are available on the market and how leading game companies engineer the data analytics solution and make better games with data insights.
So you want to build a mobile app - HTML5 vs. Native @ the Boston Mobile Expe...Yottaa
The document provides guidance and best practices for developing mobile apps. It discusses prioritizing platforms based on usage share, targeting the needs and behaviors of different user groups, and the advantages of native apps over HTML5 for user experience. It also covers tools for testing across browsers and devices, such as Ringmark, Modernizr, and network monitoring with ARO. Thorough testing on real networks is emphasized to ensure apps degrade gracefully on unstable connections.
Stream processing in Mercari - Devsumi 2015 autumn LTMasahiro Nagano
This document discusses Mercari's use of stream processing to monitor logs and metrics. It describes how Mercari previously used scripts to parse logs periodically, which was inefficient. Mercari now uses Norikra, an open source stream processing tool, to ingest logs and metrics in real-time and perform analytics using SQL queries. Norikra provides benefits over their previous approach like no need to restart processes and the ability for any engineer to write SQL queries. The results are then sent to monitoring tools like Mackerel for alerting and graphing.
In this talk from DevCon TLV we covered:
● The power of HTML5 APIs and how you can use them in your next modern Web Apps.
● On the server side how you can use: Google Cloud Endpoints to scale your API and gain more productivity.
● We did some live Demos and talked about Big Query interfaces.
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data.
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data
A web perf dashboard up & running in 90 minutes presentationJustin Dorfman
A Web Performance Dashboard can be set up and running in 90 minutes using freely available tools. The summary collects performance data from real users using boomerang.js and synthetic data from WebPagetest. The data is processed and stored using StatsD and Graphite. Finally, the dashboard is built by pulling the data into Piwik for visualization and monitoring.
Learn what is happening in Silicon Valley regarding advances in Artificial Intelligence through this presentation. We shared this presentation with the AI expo visitors.
Good practices for debugging Selenium and Appium testsAbhijeet Vaikar
We often come across situations when:
> We cannot figure out why our Selenium/Appium scripts fail during execution either locally or on CI.
> We need to debug scripts locally while writing them but find debugging painful and slow
Debugging the scripts is often the approach to fix them. What all different ways we can do it?
I shared about some of the good practices I have used for debugging Selenium and Appium scripts
The tools used by the CRO masters round the world to optimise analytics, UX, VOC,insight and testing - all to optimise your insight or conversion figures.
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
This document contains an agenda and summaries of presentations for a MuleSoft meetup event on Women Who APAC/Bangalore. The agenda includes introductions, presentations on Anypoint Code Builder, Google Pub/Sub Connector, and RPA. Speakers will discuss Code Builder features and a demo, use cases and a demo of Google Pub/Sub and the connector, and the RPA lifecycle and components with a demo. Time is allocated at the end for questions and networking.
Extended edition: How to speed up .NET and SQL Server web apps (2 x 45 mins w...Bart Read
This talk describes the tools and techniques I use to diagnose performance problems in .NET and SQL Server web apps. The talk is based on a series of real world examples that allow you to build a picture of the sort of outside-in approach that works well for figuring out performance bottlenecks.
Often, once you've isolated the problem, the fix is fairly simple. Where I tend to find people struggle is in isolating problems in the first place so my aim here is to equip you to understand why your app is performing poorly.
Increasingly applications are becoming more complex with dependencies not just on the database (or several databases), but often other services. Infrastructure, networking, storage, and the client also increasingly have an impact nowadays, and this is something I try to emphasise throughout, giving you an overview of which tools to use in each case.
This is a longer version of the talk than I usually give so I take advantage of the extra time available to discuss an issue that many developers struggle with: memory management. Normally I have to skim over this but in this case I've gone into some depth about how memory is managed in runtimes such as the .NET CLR, the JVM, and JavaScript works. This will help you write code that works with the garbage collector rather than against it.
Velocity building a performance lab for mobile apps in a day - finalAshray Mathur
This document discusses building a mobile app performance lab in a day. It covers three essential steps: 1) instrumenting apps to collect key performance metrics, 2) setting up mobile infrastructure to run automated tests on real devices, and 3) establishing a continuous integration process to repeatedly test, measure, analyze, fix, and retest performance. Specific techniques covered include using boomerang.js for app instrumentation, WebDriver for automation, and collecting metrics on both iOS and Android platforms. The document emphasizes establishing an automated testing process to iteratively improve mobile app performance.
This document summarizes a presentation about mastering Azure Monitor. It introduces Azure Monitor and its components, including metrics, logs, dashboards, alerts, and workbooks. It provides a brief history of how Azure Monitor was developed. It also explains the different data sources that can be monitored like the Azure platform, Application Insights, and Log Analytics. The presentation encourages attendees to navigate the "maze" of Azure Monitor and provides resources to help learn more, including an upcoming virtual event and blog post series on monitoring.
This document provides an overview of PredictionIO, an open source machine learning server. It discusses what PredictionIO is, how it works, and how to set it up and build a movie recommendation engine on it. PredictionIO is built on Apache Spark and MLlib and uses HBase for data storage. It allows importing data, building models, training, evaluating, and deploying machine learning engines. The document demonstrates how to create a movie recommendation engine using PredictionIO's template, import movie rating data, train and deploy the engine, and test it by sending queries.
Apache Kafka in Gaming Industry (Games, Mobile, Betting, Gambling, Bookmaker,...Kai Wähner
Use Cases and Architectures for Apache Kafka and Event Streaming in the Gaming Industry
The gaming industry must process billions of events per day in real-time and ensure consistent and reliable data processing and correlation across gameplay interactions and backend analytics. Deployments must run globally and work for millions of users 24/7 on 365 days a year.
These requirements are true for hardcore games and blockbusters including massively multiplayer online role-playing games (MMORPG), first-person shooters, and multiplayer online battle arenas (MOBA), but also for mid-core and casual games. Reliable and scalable real-time integration with consumer devices like smartphones and game consoles is as important as cooperating with online streaming services like Twitch and betting providers.
Learn how event streaming with Apache Kafka and Confluent Cloud provides a scalable, reliable, and efficient infrastructure to make gamers happy and gaming companies successful.
The session will discuss use cases and architectures for various scenarios, including
- Real-time analytics and data correlation of Game Telemetry
- Monetization network for real-time advertising and in-app purchases
- Payment engine for betting
- Detection of financial fraud and cheating
- Chat function in games and cross-games
- Monitor the results of live operations like weekend events or limited time offers
- Real-time analytics on metadata and chat data for marketing campaigns
Video recording of this presentation:
https://www.confluent.io/online-talks/kafka-and-big-data-streaming-use-cases-in-the-gaming-industry/
The Busy Bee Platform allows users to write business logic once using simple XML and JavaScript and automatically generates apps for multiple platforms. It handles all the complexities of application development across devices and interfaces, including security, scalability, database management, and analytics. Case studies demonstrate how modules can be added and synced across devices for applications like a connected fork, quadcopter, mobile sales app, and smart car. The platform offers flexible pricing plans tailored for individuals, small/medium enterprises, and large enterprises.
Screencast on YouTube: https://www.youtube.com/watch?v=GJ_5JKG4nFI
Firefox OS is a new operating system aimed at emerging markets to replace feature phones with HTML5 based Smartphones whilst still being affordable. In this talk you'll see its architecture, how to take part in it and what it means to the evolution of HTML5 as a platform. A lot of promises have been made, here you can see HTML5 working without having to jump through hoops and abstractions.
Modern Data Stack for Game Analytics / Dmitry Anoshin (Microsoft Gaming, The ...DevGAMM Conference
Talk will cover the journey of data platform design and implement for game analytics industry. I will tell about modern data stack. What tools and approaches are available on the market and how leading game companies engineer the data analytics solution and make better games with data insights.
So you want to build a mobile app - HTML5 vs. Native @ the Boston Mobile Expe...Yottaa
The document provides guidance and best practices for developing mobile apps. It discusses prioritizing platforms based on usage share, targeting the needs and behaviors of different user groups, and the advantages of native apps over HTML5 for user experience. It also covers tools for testing across browsers and devices, such as Ringmark, Modernizr, and network monitoring with ARO. Thorough testing on real networks is emphasized to ensure apps degrade gracefully on unstable connections.
Stream processing in Mercari - Devsumi 2015 autumn LTMasahiro Nagano
This document discusses Mercari's use of stream processing to monitor logs and metrics. It describes how Mercari previously used scripts to parse logs periodically, which was inefficient. Mercari now uses Norikra, an open source stream processing tool, to ingest logs and metrics in real-time and perform analytics using SQL queries. Norikra provides benefits over their previous approach like no need to restart processes and the ability for any engineer to write SQL queries. The results are then sent to monitoring tools like Mackerel for alerting and graphing.
In this talk from DevCon TLV we covered:
● The power of HTML5 APIs and how you can use them in your next modern Web Apps.
● On the server side how you can use: Google Cloud Endpoints to scale your API and gain more productivity.
● We did some live Demos and talked about Big Query interfaces.
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data.
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data
A web perf dashboard up & running in 90 minutes presentationJustin Dorfman
A Web Performance Dashboard can be set up and running in 90 minutes using freely available tools. The summary collects performance data from real users using boomerang.js and synthetic data from WebPagetest. The data is processed and stored using StatsD and Graphite. Finally, the dashboard is built by pulling the data into Piwik for visualization and monitoring.
Learn what is happening in Silicon Valley regarding advances in Artificial Intelligence through this presentation. We shared this presentation with the AI expo visitors.
Good practices for debugging Selenium and Appium testsAbhijeet Vaikar
We often come across situations when:
> We cannot figure out why our Selenium/Appium scripts fail during execution either locally or on CI.
> We need to debug scripts locally while writing them but find debugging painful and slow
Debugging the scripts is often the approach to fix them. What all different ways we can do it?
I shared about some of the good practices I have used for debugging Selenium and Appium scripts
The tools used by the CRO masters round the world to optimise analytics, UX, VOC,insight and testing - all to optimise your insight or conversion figures.
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
This document contains an agenda and summaries of presentations for a MuleSoft meetup event on Women Who APAC/Bangalore. The agenda includes introductions, presentations on Anypoint Code Builder, Google Pub/Sub Connector, and RPA. Speakers will discuss Code Builder features and a demo, use cases and a demo of Google Pub/Sub and the connector, and the RPA lifecycle and components with a demo. Time is allocated at the end for questions and networking.
Extended edition: How to speed up .NET and SQL Server web apps (2 x 45 mins w...Bart Read
This talk describes the tools and techniques I use to diagnose performance problems in .NET and SQL Server web apps. The talk is based on a series of real world examples that allow you to build a picture of the sort of outside-in approach that works well for figuring out performance bottlenecks.
Often, once you've isolated the problem, the fix is fairly simple. Where I tend to find people struggle is in isolating problems in the first place so my aim here is to equip you to understand why your app is performing poorly.
Increasingly applications are becoming more complex with dependencies not just on the database (or several databases), but often other services. Infrastructure, networking, storage, and the client also increasingly have an impact nowadays, and this is something I try to emphasise throughout, giving you an overview of which tools to use in each case.
This is a longer version of the talk than I usually give so I take advantage of the extra time available to discuss an issue that many developers struggle with: memory management. Normally I have to skim over this but in this case I've gone into some depth about how memory is managed in runtimes such as the .NET CLR, the JVM, and JavaScript works. This will help you write code that works with the garbage collector rather than against it.
Velocity building a performance lab for mobile apps in a day - finalAshray Mathur
This document discusses building a mobile app performance lab in a day. It covers three essential steps: 1) instrumenting apps to collect key performance metrics, 2) setting up mobile infrastructure to run automated tests on real devices, and 3) establishing a continuous integration process to repeatedly test, measure, analyze, fix, and retest performance. Specific techniques covered include using boomerang.js for app instrumentation, WebDriver for automation, and collecting metrics on both iOS and Android platforms. The document emphasizes establishing an automated testing process to iteratively improve mobile app performance.
This document summarizes a presentation about mastering Azure Monitor. It introduces Azure Monitor and its components, including metrics, logs, dashboards, alerts, and workbooks. It provides a brief history of how Azure Monitor was developed. It also explains the different data sources that can be monitored like the Azure platform, Application Insights, and Log Analytics. The presentation encourages attendees to navigate the "maze" of Azure Monitor and provides resources to help learn more, including an upcoming virtual event and blog post series on monitoring.
This document provides an overview of PredictionIO, an open source machine learning server. It discusses what PredictionIO is, how it works, and how to set it up and build a movie recommendation engine on it. PredictionIO is built on Apache Spark and MLlib and uses HBase for data storage. It allows importing data, building models, training, evaluating, and deploying machine learning engines. The document demonstrates how to create a movie recommendation engine using PredictionIO's template, import movie rating data, train and deploy the engine, and test it by sending queries.
Apache Kafka in Gaming Industry (Games, Mobile, Betting, Gambling, Bookmaker,...Kai Wähner
Use Cases and Architectures for Apache Kafka and Event Streaming in the Gaming Industry
The gaming industry must process billions of events per day in real-time and ensure consistent and reliable data processing and correlation across gameplay interactions and backend analytics. Deployments must run globally and work for millions of users 24/7 on 365 days a year.
These requirements are true for hardcore games and blockbusters including massively multiplayer online role-playing games (MMORPG), first-person shooters, and multiplayer online battle arenas (MOBA), but also for mid-core and casual games. Reliable and scalable real-time integration with consumer devices like smartphones and game consoles is as important as cooperating with online streaming services like Twitch and betting providers.
Learn how event streaming with Apache Kafka and Confluent Cloud provides a scalable, reliable, and efficient infrastructure to make gamers happy and gaming companies successful.
The session will discuss use cases and architectures for various scenarios, including
- Real-time analytics and data correlation of Game Telemetry
- Monetization network for real-time advertising and in-app purchases
- Payment engine for betting
- Detection of financial fraud and cheating
- Chat function in games and cross-games
- Monitor the results of live operations like weekend events or limited time offers
- Real-time analytics on metadata and chat data for marketing campaigns
Video recording of this presentation:
https://www.confluent.io/online-talks/kafka-and-big-data-streaming-use-cases-in-the-gaming-industry/
The Busy Bee Platform allows users to write business logic once using simple XML and JavaScript and automatically generates apps for multiple platforms. It handles all the complexities of application development across devices and interfaces, including security, scalability, database management, and analytics. Case studies demonstrate how modules can be added and synced across devices for applications like a connected fork, quadcopter, mobile sales app, and smart car. The platform offers flexible pricing plans tailored for individuals, small/medium enterprises, and large enterprises.
Screencast on YouTube: https://www.youtube.com/watch?v=GJ_5JKG4nFI
Firefox OS is a new operating system aimed at emerging markets to replace feature phones with HTML5 based Smartphones whilst still being affordable. In this talk you'll see its architecture, how to take part in it and what it means to the evolution of HTML5 as a platform. A lot of promises have been made, here you can see HTML5 working without having to jump through hoops and abstractions.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
1. #dataplay | The #doombuggy project
Steven Watson Buehler
http://www.swbuehler.com
@stevenwatsonb
2. about me
● Data (Reporting) Analyst/Salesforce Admin, Helios (formerly PMSI/PMI).
● Microsoft Office VBA Developer (SQL Server).
● Automation: Automator, AppleScript, PHP, VBScript, Windows Script.
● Legacy Product Reporting, AT&T Global Network Services (2003-2007).
● Diagnosed as High-Functioning Autistic/Asperger in 2005.
● I play with data for fun.
7. Automatic
Vehicle Sensor
http://www.automatic.com
● Measures miles driven, fuel
consumed, fuel efficiency.
● Notes hard braking and hard
acceleration, and minutes over
70/75/80 MPH.
● Notifies when “Check Engine”
light trips with interpretation of
codes.
● Notifies emergency services
and others after a crash.
● Access to data via web site
and API.
9. IFTTT
“If This, Then That” Automation
http://www.ifttt.com
● Make “recipes” to perform
actions on a service’s API
based on input from another
service’s API.
● Works with 225+ “channels”
(APIs).
● Pulls Automatic/Swarm data,
inserts as rows into Google
Sheets.
10. Google Drive
Office Software/Online Storage
http://drive.google.com
● Provides online office software
including Docs, Sheets, Slides,
Draw, Fusion Tables.
● Remote storage of files.
● Sync files with your computer.
● Google Sheets stores data
pushed from IFTTT.
11. Google Apps Script
Scripting Engine
http://script.google.com
● JavaScript-based scripting
engine.
● Connects to Google APIs and
other services that use OAuth2.
● Useful for trigger-based
automation.
● Script runs daily to pull data
from Google Sheets and insert
into public Google Calendar.