スマートコントラクトによってもたらされる共生社会とビジネス展開

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Wataru Fukatsu

九州大学先端技術分析講座 12月15日開催スマートコントラクトによってもたらされる共生社会とビジネス展開

Education

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50© 2018 Scalar, Inc.
http://scalar-labs.com/
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A connected city brings benefits to the residents and the municipal agencies and departments that serve them. For instance, smart lighting is more efficient, saving substantial costs to the city which can be passed down to the residents, and it also provides added safety and security. Connected cars and street lights can enable traffic managers to control traffic lights to optimize the flow of traffic in the most congested areas. From services to safety a smart, connected city, will be a successful and economically sound city.

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We presented Gimel at Dataworks Summit in San Jose. Gimel is the open source unified data API which enables connectivity to any data store with a single API. Along with the API which works with Scala and Python, we are also surfacing a SQL interface to access any data store with just SQL. Now data scientists and analysts can directly consume data from big data platforms like Kafka for real-time streaming data access or Elastic for search-related data all with SQL just like they can access Oracle or Teradata. On the other hand, data engineers can relax now with this abstracted API since it isolates the ever-changing world of big data infrastructure from their code. No longer do they need to worry about API versions, connector versions, data store-specific semantics, or compute engine and version. Gimel is also tightly integrated with Jupyter notebooks so all of the power is now available to anyone with a browser. gimel.io unifieddatacatalog.io ppextensions.io Ping me on LinkedIn for more info!

Dataworks | 2018-06-20 | Gimel data platform

Deepak Chandramouli

https://dataworkssummit.com/san-jose-2018/expo-theatre/gimel-paypals-analytics-data-platform/ At PayPal, data engineers, analysts, and data scientists work with a variety of data sources (Messaging, NoSQL, RDBMS, Documents, TSDB), compute engines (Spark, Flink, Beam, Hive), languages (Scala, Python, SQL) and execution models (stream, batch, interactive). Due to this complex matrix of technologies and thousands of datasets, engineers spend considerable time learning about different data sources, formats, programming models, APIs, optimizations, etc. which impacts time-to-market (TTM). To solve this problem and to make product development more effective, PayPal Data Platform developed “Gimel”, a unified analytics data platform which provides access to any storage through a single unified data API and SQL, that is powered by a centralized data catalog. In this session, we will introduce you to the various components of Gimel – Compute Platform, Data API, PCatalog, GSQL, and Notebooks. We will provide a demo depicting how Gimel reduces TTM by helping our engineers write a single line of code to access any storage without knowing the complexity behind the scenes.

Case Study: ParkMobile Builds for Scale with Kubernetes, Gloo and AWS Cloud

Solo.io

ParkMobile is the leading provider of parking solutions in the US with a mission to power smart mobility for every driver and vehicle, everywhere. Located in 7 cities across the country, ParkMobile helps their 16M+ customers park smarter every year. Join the discussion with the ParkMobile team on how they are building for scale by going cloud-native with Kubernetes, Gloo, Service Mesh, GitOps and more. This session will cover: * Technical challenges and needs to address ParkMobile’s growth over the last decade * The evaluation criteria, process and results leading to new platform technology * Lessons learned (surprises too!), how they adjusted and what’s next On-Demand video here https://www.youtube.com/watch?v=0Vq0gvxSbow&feature=youtu.be Learn more: https://www.parkmobile.io https://www.solo.io/products/gloo https://slack.solo.io #Gloo #Gloo-Enterprise

Leveraging Multiple Cloud Orchestration

DOCOMO Innovations, Inc.

Stanford WebCamp 2019: https://stanford.io/30vXNRp Overview We are now living in Cloud era. Therefore, we are managing AWS by developing our own AWS Portal | Cloud Orchestrator by Drupal 8. We'll introduce our solution (Cloud project) including its requirements and the goal, the value proposition. We would like to show how Drupal 8 can define to manage multiple Cloud infrastructure and why Drupal 8 can be used as Web Application Framework. Key Points Covered - Requirements and the Goal: Cloud Governance, Cost Management, Multiple Cloud Orchestration and Workflow Automation - Value Proposition - A Self-Service Portal Intended audience People who are interested in everything about Cloud Computing, who want to manage public cloud based on AWS, who want to build private cloud based on OpenStack, Docker and Kubernetes. Slides

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