In the first half, we give an introduction to modern serialization systems, Protocol Buffers, Apache Thrift and Apache Avro. Which one does meet your needs?
In the second half, we show an example of data ingestion system architecture using Apache Avro.
In the first half, we give an introduction to modern serialization systems, Protocol Buffers, Apache Thrift and Apache Avro. Which one does meet your needs?
In the second half, we show an example of data ingestion system architecture using Apache Avro.
Beginner must-see! A future that can be opened by learning HadoopDataWorks Summit
What is "Hadoop" now? It is difficult to hear ... But those who are interested, those who are thinking about the future as active as a data engineer, those who are new to the first time, through introductions of Hadoop and the surrounding ecosystem, introducing merits and examples, "What now Should I learn? "And I will introduce the future spreading through learning Hadoop and the surrounding ecosystem.
Smart data integration to hybrid data analysis infrastructureDataWorks Summit
To improve customer value and corporate competitiveness, it is necessary to deal with advanced analysis using big data, including data of core systems, and digital transformation.
At the same time, examples of hybrid construction of on-premise clouds are also spreading.
In this session, we will introduce the technology and the latest case examples of applying real-time replication utilized in the backbone system (RDBMS) to the Hadoop data analysis infrastructure (Hadoop Data Lake) of the hybrid configuration.
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.
With AR and VR technologies, it’s the first time that data collection has been part of the front-end strategy vs back-end process. As companies compete to create new, interactive experiences, data is the tool of choice to measure all aspects of player engagement and marketing effectiveness. In this webinar, two industry experts, Nicolas Nadeau and Andrew Mayer, will talk about the trends driving AR and VR markets today, and what data-driven approaches companies need to think about to compete in these markets tomorrow.
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
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
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.
Migrate your semi-structured data from MySQL to Amazon Redshift in as few steps as possible. From Amazon Web Services Bay Area meetup @ Sumo Logic, December 3, 2015.
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.
人的資本経営[1]を実現するには,生産性とQoW(Quality of Work,働き方の質)を同時に改善し続けていくことが有効である.そのための課題は多岐に渡るため,DX(Digital Transformation)的発想が求められる。一方、情報の約60~80%が位置情報に関連していることが報告されている.本稿では,地理空間情報と他の情報とを連携させて課題解決を支援する地理空間インテリジェンス(GSI)でDXを促進し,製造現場やサービス現場で人的資本経営を支援することに資する筆者らの一連の取り組みについて紹介する.
7. HDFS
Hive
PostgreSQL, etc.
Daily/Hourly Batch
Interactive query
Dashboard
Commercial
BI Tools
Batch analysis platform Visualization platform
8. HDFS
Hive
PostgreSQL, etc.
Daily/Hourly Batch
Interactive query
✓ Less scalable
✓ Extra cost
Dashboard
Commercial
BI Tools
✓ Can’t query against
“live” data directly
Batch analysis platform Visualization platform
✓ More work to manage
2 platforms
25. Presto
HDFS
Hive
Dashboard
Daily/Hourly Batch
Interactive query
SQL on any data sets Commercial
Cassandra MySQL Commertial DBs
BI Tools
✓ Tableau
✓ ChartIO
✓ ...
Data analysis platform