Tokyo Azure Meetup #6 - Azure Machine Learning with Microsoft DynamicsTokyo Azure Meetup
We have new format from this time:
1. Azure Monthly Update:
Check what happened in Azure in June, 2016.
2. Azure Machine Learning with Microsoft Dynamics:
Microsoft Dynamics is great for collecting enterprise intelligence in real-time. Azure Machine Learning is the easiest tool to start predicting data. So what if we combine these two systems together?
Dynamics製品は、経営判断が求められる情報がリアルタイムで管理できる、優れたシステムです。 Azure Machine Learningはデータの予測などが簡単に行えるツールです。 この勉強会ではこれら2つのツールを活用して、どんなことができるかをご説明します。
This document summarizes an interview with sound designer Jeff Largent about how he marries sound to visuals. It discusses how sound design connects audio and visual elements to tell a story. As technology has advanced, sound design has become more accessible as a profession. However, what makes a professional stand out is design. The article highlights Largent's work on Braveheart, where he added ambient crowd sounds to scenes to further immerse viewers in the story. It also notes the collaborative nature of sound design work.
This document is a resume for Jessica L. Latimer. It summarizes her education and experience. She has a Certificate in Graphic Design from Boston University and bachelor's degrees in Communications and Creative Writing from Roger Williams University. Her experience includes owning her own creative boutique firm since 2007 where she provides services such as branding, design, and writing. She has held various editorial roles for Grace Ormonde Wedding Style magazine since 2003, managing editorial teams and content. She was also the managing editor of The Hawk's Eye student newspaper and completed an editorial internship at Rhode Island Monthly. Her skills include proficiency with Adobe and Microsoft Office programs as well as excellent writing and communication abilities.
Tokyo Azure Meetup #6 - Azure Machine Learning with Microsoft DynamicsTokyo Azure Meetup
We have new format from this time:
1. Azure Monthly Update:
Check what happened in Azure in June, 2016.
2. Azure Machine Learning with Microsoft Dynamics:
Microsoft Dynamics is great for collecting enterprise intelligence in real-time. Azure Machine Learning is the easiest tool to start predicting data. So what if we combine these two systems together?
Dynamics製品は、経営判断が求められる情報がリアルタイムで管理できる、優れたシステムです。 Azure Machine Learningはデータの予測などが簡単に行えるツールです。 この勉強会ではこれら2つのツールを活用して、どんなことができるかをご説明します。
This document summarizes an interview with sound designer Jeff Largent about how he marries sound to visuals. It discusses how sound design connects audio and visual elements to tell a story. As technology has advanced, sound design has become more accessible as a profession. However, what makes a professional stand out is design. The article highlights Largent's work on Braveheart, where he added ambient crowd sounds to scenes to further immerse viewers in the story. It also notes the collaborative nature of sound design work.
This document is a resume for Jessica L. Latimer. It summarizes her education and experience. She has a Certificate in Graphic Design from Boston University and bachelor's degrees in Communications and Creative Writing from Roger Williams University. Her experience includes owning her own creative boutique firm since 2007 where she provides services such as branding, design, and writing. She has held various editorial roles for Grace Ormonde Wedding Style magazine since 2003, managing editorial teams and content. She was also the managing editor of The Hawk's Eye student newspaper and completed an editorial internship at Rhode Island Monthly. Her skills include proficiency with Adobe and Microsoft Office programs as well as excellent writing and communication abilities.
The document discusses the design process. It describes investigating the problem by discovering user needs and creating a design brief. The design cycle begins with creating potential solutions, evaluating them, and revising as needed. The process repeats, iterating from creation to evaluation to revision until the design is complete.
The document discusses realistic UI design for touch devices. It argues that while some level of realism can aid credibility and leverage mental models, an overzealous application of realism that mimics analog forms can actually impair usability and innovation. Realistic UIs are prone to inheriting outdated interface patterns and behaviors from their analog ancestors. They also often contradict the realities of digital and touch-based interactions by consuming excessive screen space. The document advocates for a thoughtful, restrained use of realism that augments usability rather than hindering it.
Talk at RubyKaigi 2015.
Plugin architecture is known as a technique that brings extensibility to a program. Ruby has good language features for plugins. RubyGems.org is an excellent platform for plugin distribution. However, creating plugin architecture is not as easy as writing code without it: plugin loader, packaging, loosely-coupled API, and performance. Loading two versions of a gem is a unsolved challenge that is solved in Java on the other hand.
I have designed some open-source software such as Fluentd and Embulk. They provide most of functions by plugins. I will talk about their plugin-based architecture.
The 'Aha' Moment: How Great Designs Play With Our Psychology?Logo Design Guru
We, as humans, respond differently to different elements of design. Different colors, shapes, typefaces – all create an interaction of association that is individual. Thus, a skilled designer is one who can employ each of these elements effectively, playing into the psychology of it’s viewers, and infer particular characteristics of a brand, to the target audience.
The document provides details about Tanvi Olivia Singh's portfolio. She has a bachelor's degree in mechanical engineering and has worked as a designer for an automobile company for 2 years. She is interested in pursuing design as a career and improving her skills. Her portfolio includes details and photos of various mechanical design projects she has worked on, such as a photo-luminescent explosive detection bug, sketches of her workplace, a mechanical arm can crusher, stackable screw stools, a DIY refrigerator, warm jackets for street dogs with social messages, a key stand called "Attitude Dude", a piano composition table, a steampunk ant sculpture, a pepper spray bangle for women's safety, a pillar light
Illustration and Graphic Design PortfolioJoy Hallare
Joy Marie Hallare is a graphic designer and illustrator who earned a BFA in graphic design with an emphasis in illustration in 2012 and an AA in graphic design in 2009. She provides illustration, graphic design, and photography services for friends, families, and businesses alike, as shown on her online portfolio at www.jomairestudio.com.
The document appears to be a portfolio and resume for Sumita Ghorpade containing examples of her graphic design work for various events and companies including designs for access passes, tickets, advertisements and information graphics for the "Women's Tennis Finals 2014" event hosted by World Sports Group, as well as branding collaterals and designs for companies like "Enavose", "Bellewave", "Celblos", "Jeune Lavoss" and more. It provides visual samples of her work and qualifications as a graphic designer.
This document provides tips for creating an effective portfolio to help land a job. It recommends including 2-3 projects that show your full process and best work. The portfolio should be tailored to the intended audience or employer and highlight your skills, thought process, and interests. Visual design is also important - the portfolio should use a clear hierarchy, 2 fonts at most, impactful imagery, and start and end with strong pieces. It's advised to get feedback and improve the portfolio at every opportunity before submitting it.
This document summarizes Amir Khella's work as a user experience designer. It describes several companies he has worked with, including DocVerse, a document collaboration app; ClerkDogs, a movie recommendation app; Colligent, a social media analytics platform; and Blist, a consumer database. For each company, it provides a brief description of the work and positive quotes from CEOs praising Amir's work.
Graphic design is meant to make the ordinary extraordinary through thoughtful planning and allowing creativity to happen organically. Good designers find inspiration in nature's divine perfection yet remain mysterious to understand fully. The best designers have clients who appreciate great design emerging from a collaborative process.
Embulk, an open-source plugin-based parallel bulk data loaderSadayuki Furuhashi
The document discusses Embulk, an open-source parallel bulk data loader that uses plugins. Embulk loads records from various sources ("A") to various targets ("B") using plugins for different source and target types. This makes the painful process of data integration more relaxed. Embulk executes in parallel, validates data, handles errors, behaves deterministically, and allows for idempotent retries of bulk loads.
The document appears to be a portfolio belonging to Sean Carnell showcasing various design projects. It includes designs for packaging, medical orthopedics, automotive wheels, sunglass cases, medical neonatal products, homeware, molded pulp, handles, automotive artwork, and bathroom products. For each design, it mentions they were modeled and tooled in Unigraphics and rendered using HDR environment maps.
This document summarizes Astha Goel's fashion design portfolio including 5 projects from her BA in Fashion Design & Technology. The projects cover themes of pop art, a graduation fashion show, art deco, an Indian wedding, and vampires. Each project includes mood boards, research, sketches, and 2-5 designs. The portfolio demonstrates Astha's creative exploration of themes and development of her design skills.
DB TechShowcase Tokyo - Intelligent Data PlatformDaiyu Hatakeyama
AI (Artificial Intelligence) が様々なアプリケーション/サービスに組み込まれ始めて、それをうみだす原動力ともいえるデータプラットフォームもその立ち位置を変えてきています。次期SQL Server 2017には、Machine Learning Servicesが同梱され、まさに次世代のデータプラットフォームの一つの形といえるでしょう。このセッションでは、System of Record から、System of Insight へとその価値を変えていく最新のData Platformの世界をご紹介します。
SQL Server 使いのための Azure Synapse Analytics - Spark 入門Daiyu Hatakeyama
Japan SQL Server Users Group - 第35回 SQL Server 2019勉強会 - Azure Synapese Analytics - SQL Pool 入門 のセッション資料です。
Spark の位置づけ。Synapse の中での入門編の使い方。そして、Synapse ならではの価値について触れてます。
The new GDPR regulation went into effect on May 25th. While a majority of conversations have revolved around the security and IT aspects of the law, marketing teams will play a crucial role in helping organizations meet GDPR standards and playing a strategic role across the organization . Join us to learn more, engage with your peers and get prepared.
This webinar will cover:
- How complying with the GDPR will drive better marketing and raise the standard of the quality of your customer engagement
- The GDPR elements marketers must know about
- The elements of PII that will be affected and what marketers need to do about it
- A deep dive on how GDPR regulations will affect your marketing channels - email, programmatic advertising, cold calls, etc.
- Tactical marketing updates needed to meet GDPR guidelines
AR and VR by the Numbers: A Data First Approach to the Technology and MarketTreasure Data, Inc.
The document discusses trends in the augmented reality (AR) and virtual reality (VR) markets. It notes that the combined AR and VR market is estimated to reach $120 billion by 2020, with AR's market estimated at $89.9 billion and VR's at $29.9 billion. While VR growth is clear, the exact size is unclear. The document outlines challenges like the need for improved headsets and continued developer investment outside of mobile. It emphasizes that AR currently focuses on using data to project context and enable interaction with the real world, and that collecting user data is important for defining the experience.
An overview of Customer Data Platforms (CDP) with the industry leader who coined the term, David Raab. Find out how to use Live Customer Data to create a better customer experience and how Live Data Management can give you a competitive edge with a 360 degree view of your clients.
Learn:
- The definition and requirements for Customer Data Platforms
- The differences between Customer Data Platforms and comparative technologies such as Data Warehousing and Marketing Automation
- Reference architectures/approaches to building CDP
- How Treasure Data is used to build Customer Data Platforms
And here's the song: https://youtu.be/RalMozVq55A
In this hands-on webinar we will cover how to leverage the Treasure Data Javascript SDK library to ensure user stitching of web data into the Treasure Data Customer Data Platform to provide a holistic view of prospects and customers.
We will demo the native SDK, as well as deploying the SDK inside of Adobe DTM and Google Tag Manager.
Hands-On: Managing Slowly Changing Dimensions Using TD WorkflowTreasure Data, Inc.
In this hands-on webinar we'll explore the data warehousing concept of Slowly Changing Dimensions (SCDs) and common use cases for managing SCDs when dealing with customer data. This webinar will demonstrate different methods for tracking SCDs in a data warehouse, and how Treasure Data Workflow can be used to create robust data pipelines to handle these processes.
Brand Analytics Management: Measuring CLV Across Platforms, Devices and AppsTreasure Data, Inc.
Gaming companies with multiple products often struggle to calculate accurate Customer Lifetime Value (CLTV) across their portfolio. This is because user data is often analyzed in silos so companies are unable to get a clear picture of ROI and CLTV across platforms, devices and apps.
In this webinar we’ll look at how you can apply a holistic and complete approach to your CLTV and ROI through the lens of gaming companies, though this technique is applicable for any company who has products spanning platforms.
We’ll also explore:
How the integral power of data in business has shifted over the past 10 years.
Discover the current technologies and processes used to analyze data across different platforms by combining multiple data streams, looking at examples in brand and portfolio-based LTV.
How to process and centralize dozens of varying data streams.
Nicolas Nadeau will speak from his extensive experience and show how leveraging data from multiple product strategies spanning many platforms can be highly beneficial for your company.
Do you know what your top ten 'happy' customers look like? Would you like to find ten more just like them? Come learn how to leverage 1st & 3rd party data to map your customer journey and drive users down a path where every interaction is personalized, fun, & data-driven. No more detractors, power your Customer Experience with data!
In this webinar you will learn:
-When, why, and how to leverage 1st, 2nd, and 3rd party data
-Tips & Tricks for marketers to become more data driven when launching their campaigns
-Why all marketers needs a 360 degree customer view
The reality is virtual, but successful VR games still require cold, hard data. For wildly popular games like Survios’ Raw Data, the first VR-exclusive game to reach #1 on Steam’s Global Top Sellers list, data and analytics are the key to success.
And now online gaming companies have the full-stack analytics infrastructure and tools to measure every aspect of a virtual reality game and its ecosystem in real time. You can keep tabs on lag, which ruins a VR experience, improve gameplay and identify issues before they become showstoppers, and create fully personalized, completely immersive experiences that blow minds and boost adoption, and more. All with the right tools.
Make success a reality: Register now for our latest interactive VB Live event, where we’ll tap top experts in the industry to share insights into turning data into winning VR games.
Attendees will:
* Understand the role of VR in online gaming
* Find out how VR company Survios successfully leverages the Exostatic analytics infrastructure for commercial and gaming success
* Discover how to deploy full-stack analytics infrastructure and tools
Speakers:
Nicolas Nadeau, President, Exostatic
Kiyoto Tamura, VP Marketing, Treasure Data
Ben Solganik, Producer, Survios
Stewart Rogers, Director of Marketing Technology, VentureBeat
Wendy Schuchart, Moderator, VentureBeat
The document discusses how marketers can better leverage customer data to improve the customer experience. It provides tips from various experts on developing a robust data strategy, asking the right questions of data to uncover insights, owning customer data to stay compliant with regulations, and how IoT can be used to inform and deploy customer experience solutions. The overall message is that marketers need to stop data from being fragmented and better connect customer touchpoints to deliver personalized experiences.
Harnessing Data for Better Customer Experience and Company SuccessTreasure Data, Inc.
As big data has exploded, the ability for companies to easily leverage it has imploded. Organizations are drowning in their own information, unable to see the forest through the trees, while the big players consistently outperform in their ability to deliver a great customer experience, faster, cheaper…As a result, the vast majority of companies are scrambling to catch up and become more agile, data-driven, to use their data more effectively so they can attract and retain their elusive customers...
In this joint deck by 451 Research and Treasure Data, you will learn how to enable your line of business team to own their own data (instead of relying on IT) to be able to:
- deliver a single, persistent view of your customer based on behavior data
- make that data accessible to the right people at the right time
- Increase organizational effectiveness by (finally) breaking down silos with data
- enable powerful marketing tools to enhance the customer experience
How to make your open source project MATTER
Let’s face it: most open source projects die. “For every Rails, Docker and React, there are thousands of projects that never take off. They die in the lonely corners of GitHub, only to be discovered by bots scanning for SSH private keys.
Over the last 5 years, I worked on and off on marketing a piece of infrastructure middleware called Fluentd. We tried many things to ensure that it did not die: From speaking at events, speaking to strangers, giving away stickers, making people install Fluentd on their laptop. Most everything I tried had a small, incremental effect, but there were several initiatives/hacks that raised Fluentd’s awareness to the next level. As I listed up these “ideas that worked”, I noticed the common thread: they all brought Fluentd into a new ecosystem via packaging.”
* 행사 정보 :2016년 10월 14일 MARU180 에서 진행된 '데이터야 놀자' 1day 컨퍼런스 발표 자료
* 발표자 : Dylan Ko (고영혁) Data Scientist / Data Architect at Treasure Data
* 발표 내용
- 데이터사이언티스트 고영혁 소개
- Treasure Data (트레저데이터) 소개
- 데이터로 돈 버는 글로벌 사례 #1
>> MUJI : 전통적 리테일에서 데이터 기반 O2O
- 데이터로 돈 버는 글로벌 사례 #2
>> WISH : 개인화&자동화를 통한 쇼핑 최적화
- 데이터로 돈 버는 글로벌 사례 #3
>> Oisix : 머신러닝으로 이탈고객 예측&방지
- 데이터로 돈 버는 글로벌 사례 #4
>> 워너브로스 : 프로세스 자동화로 시간과 돈 절약
- 데이터로 돈 버는 글로벌 사례 #5
>> Dentsu 등의 애드테크(Adtech) 회사들
- 데이터로 돈을 벌고자 할 때 반드시 체크해야 하는 것
Keynote on Fluentd Meetup Summer
Related Slide
- Fluentd ServerEngine Integration & Windows Support http://www.slideshare.net/RittaNarita/fluentd-meetup-2016-serverengine-integration-windows-support
- Fluentd v0.14 Plugin API Details http://www.slideshare.net/tagomoris/fluentd-v014-plugin-api-details
This document provides an introduction and overview of Hivemall, an open source machine learning library built as a collection of Hive UDFs. It begins with background on the presenter, Makoto Yui, and then covers the following key points:
- What Hivemall is and its vision of bringing machine learning capabilities to SQL users
- Popular algorithms supported in current and upcoming versions, such as random forest, factorization machines, gradient boosted trees
- Real-world use cases at companies such as for click-through rate prediction, user profiling, and churn detection
- How to use algorithms like random forest, matrix factorization, and factorization machines from Hive queries
- The development roadmap, with plans to support NLP
This document summarizes Johan Gustavsson's presentation on scalable Hadoop in the cloud. It discusses (1) replacing an on-premise Hadoop cluster with Plazma storage on S3 and job execution in containers, (2) how jobs are isolated either through individual JobClients or resource pools, and (3) ongoing architecture changes through the Patchset Treasure Data initiative to support multiple Hadoop versions and improve high availability of job submission services.
Muga Nishizawa discusses Embulk, an open-source bulk data loader. Embulk loads records from various sources to various targets in parallel using plugins. Treasure Data customers use Embulk to upload different file formats and data sources to their TD database. While Embulk is focused on bulk loading, TD also develops additional tools to generate Embulk configurations, manage loads over time, and scale Embulk using a MapReduce executor on Hadoop clusters for very large data loads.
John Hammink's Talk at Great Wide Open 2016. We discuss: 1.) the need for data analytics infrastructure that can scale exponentially and 2.) what such an infrastructure must contain and finally 3.) the need for an infrastructure to be able to handle un - and semi-structured data.
Treasure Data: Move your data from MySQL to Redshift with (not much more tha...Treasure Data, Inc.
This document discusses migrating data from MySQL to Amazon Redshift. It describes MySQL and Redshift, and some of the challenges of migrating between the two systems, such as incompatible schemas and manual processes. The proposed solution is to use a cloud data lake with schema-on-read to store JSON event data, which can then be loaded into Redshift, a cloud data warehouse with schema-on-write, providing an automated way to migrate data between different systems and schemas.
This document discusses migrating data from MySQL to Amazon Redshift. It describes MySQL and Redshift, and some of the challenges of migrating between the two systems, such as incompatible schemas and manual processes. The proposed solution is to use a cloud data lake with schema-on-read to store JSON event data, which can then be loaded into Redshift, a cloud data warehouse with schema-on-write, providing an automated way to migrate data between different systems and schemas.
This presentation describes the common issues when doing application logging and introduce how to solve most of the problems through the implementation of an unified logging layer with Fluentd.
