日本語：開発者向けのMongo dbオヘ?レーションカ?イト?
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This document discusses MongoDB and replica sets. It provides an overview of MongoDB's features and benefits including scalability, high availability, and flexibility in schema design. It also explains how replica sets work, including generating the set, initializing replicas, handling failures, failover, and recovery. Replica sets allow for continuous availability and redundancy of data.
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{
first_name: ‘Paul’,
surname: ‘Miller’,
city: ‘London’,
location: [45.123,47.232],
cars: [
{ model: ‘Bentley’,
year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
}
}](https://image.slidesharecdn.com/mongodb-141126180544-conversion-gate01/85/Mongo-db-7-320.jpg)
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{
first_name: ‘Paul’,
surname: ‘Miller’,
cell: ‘+447557505611’
city: ‘London’,
location: [45.123,47.232],
Profession: [banking, finance, trader],
cars: [
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year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
}
}
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AI VIDEO MAGAZINE - June 2025 - r/aivideo1pcity Studios, Inc
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AI VIDEO MAGAZINE - r/aivideo community newsletter – Exclusive Tutorials: How to make an AI VIDEO from scratch, PLUS: How to make AI MUSIC, Hottest ai videos of 2025, Exclusive Interviews, New Tools, Previews, and MORE - JUNE 2025 ISSUE -OpenACC and Open Hackathons Monthly Highlights June 2025
OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC
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The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software
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Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection.
To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projectsFME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)
FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)Safe Software
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Peoples Gas in Chicago, IL has changed to a new Distribution & Transmission Integrity Management Program (DIMP & TIMP) software provider in recent years. In order to successfully deploy the new software we have created a series of ETL processes using FME Form to transform our gas facility data to meet the required DIMP & TIMP data specifications. This presentation will provide an overview of how we used FME to transform data from ESRI’s Utility Network and several other internal and external sources to meet the strict data specifications for the DIMP and TIMP software solutions.Artificial Intelligence in the Nonprofit Boardroom.pdf
Artificial Intelligence in the Nonprofit Boardroom.pdfOnBoard
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OnBoard recently partnered with Microsoft Tech for Social Impact on the AI in the Nonprofit Boardroom Survey, an initiative designed to uncover the current and future role of artificial intelligence in nonprofit governance. Supporting the NextGen 911 Digital Transformation with FME
Supporting the NextGen 911 Digital Transformation with FMESafe Software
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Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams.
This presentation will focus on how FME has supported NG911 transformations to date, and how we are positioning FME to support the enhanced capabilities to come. This session will be of interest to emergency services, municipalities and anyone who may be interested to know more about how emergency services are being improved to provide more accurate, localized information in order to improve the speed and relevance of emergency response and ultimately save more lives and provide better outcomes for those in need.FIDO Seminar: Perspectives on Passkeys & Consumer Adoption.pptx
FIDO Seminar: Perspectives on Passkeys & Consumer Adoption.pptxFIDO Alliance
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FIDO Seminar: Perspectives on Passkeys & Consumer AdoptionFME for Good: Integrating Multiple Data Sources with APIs to Support Local Ch...
FME for Good: Integrating Multiple Data Sources with APIs to Support Local Ch...Safe Software
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Have-a-skate-with-Bob (HASB-KC) is a local charity that holds two Hockey Tournaments every year to raise money in the fight against Pancreatic Cancer. The FME Form software is used to integrate and exchange data via API, between Google Forms, Google Sheets, Stripe payments, SmartWaiver, and the GoDaddy email marketing tools to build a grass-roots Customer Relationship Management (CRM) system for the charity. The CRM is used to communicate effectively and readily with the participants of the hockey events and most importantly the local area sponsors of the event. Communication consists of a BLOG used to inform participants of event details including, the ever-important team rosters. Funds raised by these events are used to support families in the local area to fight cancer and support PanCan research efforts to find a cure against this insidious disease. FME Form removes the tedium and error-prone manual ETL processes against these systems into 1 or 2 workbenches that put the data needed at the fingertips of the event organizers daily freeing them to work on outreach and marketing of the events in the community.FIDO Seminar: Targeting Trust: The Future of Identity in the Workforce.pptx
FIDO Seminar: Targeting Trust: The Future of Identity in the Workforce.pptxFIDO Alliance
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FIDO Seminar: Targeting Trust: The Future of Identity in the WorkforceProviding an OGC API Processes REST Interface for FME Flow
Providing an OGC API Processes REST Interface for FME FlowSafe Software
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This presentation will showcase an adapter for FME Flow that provides REST endpoints for FME Workspaces following the OGC API Processes specification. The implementation delivers robust, user-friendly API endpoints, including standardized methods for parameter provision. Additionally, it enhances security and user management by supporting OAuth2 authentication. Join us to discover how these advancements can elevate your enterprise integration workflows and ensure seamless, secure interactions with FME Flow.“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...
“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...Edge AI and Vision Alliance
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/key-requirements-to-successfully-implement-generative-ai-in-edge-devices-optimized-mapping-to-the-enhanced-npx6-neural-processing-unit-ip-a-presentation-from-synopsys/
Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit.
In this talk, Cooper discusses emerging trends in generative AI for edge devices and the key role of transformer-based neural networks. He reviews the distinct attributes of transformers, their advantages over conventional convolutional neural networks and how they enable generative AI.
Cooper then covers key requirements that must be met for neural processing units (NPU) to support transformers and generative AI in edge device applications. He uses transformer-based generative AI examples to illustrate the efficient mapping of these workloads onto the enhanced Synopsys ARC NPX NPU IP family.National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
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The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.MuleSoft for AgentForce : Topic Center and API Catalog
MuleSoft for AgentForce : Topic Center and API Catalogshyamraj55
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This presentation dives into how MuleSoft empowers AgentForce with organized API discovery and streamlined integration using Topic Center and the API Catalog. Learn how these tools help structure APIs around business needs, improve reusability, and simplify collaboration across teams. Ideal for developers, architects, and business stakeholders looking to build a connected and scalable API ecosystem within AgentForce.OWASP Barcelona 2025 Threat Model Library
OWASP Barcelona 2025 Threat Model LibraryPetraVukmirovic
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Threat Model Library Launch at OWASP Barcelona 2025
https://owasp.org/www-project-threat-model-library/“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...
“Key Requirements to Successfully Implement Generative AI in Edge Devices—Opt...Edge AI and Vision Alliance
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日本語：開発者向けのMongo dbオヘ?レーションカ?イト?
- 2. ????? ? MongoDB?????? ? ?????? ? ????????????????? ? ?????????????? ? MongoDB???????????????? ?????
- 4. MongoDB????????IT?????? ???? ???????? CRM, ERP, ????????, ????, BI ???????? ???????? Hadoop EDW ???┘ど ???????┘? ????? RDBMS RDBMS ???? OS & ???, CPU,?????, ??????
- 6. ??????
- 7. ???????????? RDB MongoDB { first_name: ‘Paul’, surname: ‘Miller’, city: ‘London’, location: [45.123,47.232], cars: [ { model: ‘Bentley’, year: 1973, value: 100000, … }, { model: ‘Rolls Royce’, year: 1965, value: 330000, … } } }
- 8. ???????????????? { first_name: ‘Paul’, surname: ‘Miller’, cell: ‘+447557505611’ city: ‘London’, location: [45.123,47.232], Profession: [banking, finance, trader], cars: [ ??????? { model: ‘Bentley’, year: 1973, value: 100000, … }, { model: ‘Rolls Royce’, year: 1965, value: 330000, … } } } ????????????????? ??????? ?????? ????????? ?????????? ? ??? ?? ????
- 9. ???????????? ? ?????????????? – ???????????????????? – ???せ???????????? ? ????グ?????????????? – ORM??????せ???? – ????????????????? ? ?????????????????せ – ????????????? – ?つ???????????????????
- 11. ????????????せ?? ? ????????????? ? ???????????????????????? ?????????? ? ???????????????????????? ? ? ???????????? – ???????? – ????????
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- 13. ???? ???? ???? レプリカセットの生成
- 14. ???? ????? ???? ????? レプリカセットの初期化 ???? ????? ?????? ???????? ????????
- 15. ???? ????? ???????????? レプリカセットの障害 ???? ????? ??????
- 16. ???? ????? ???? ????? ???????? ?????? レプリカセットのフェールオーバー
- 17. ???? ????? ???????? ?????? Replica Set – Recovery ???? ????? ???? ???? ????????
- 18. ???? ????? ???????? ?????? レプリカセットの回復 ???? ????? ???????? ???? ?????
- 20. Working Set Exceeds Physical Memory
- 22. Deployment Architectures & Operations
- 23. ????????????? ? ?????????? ? ?????????? ? ??????????? ? ???????????? ??????????? ????? – A ????? – B ????? – C ????? – B ????? – A ????? – A ????? – C ????? – C ????? – B
- 24. ?????/???????????? ????? – A ????? – B ????? – C ????? – B ????? – C ????? – A ???????す?? ????? – B ????? – C ????? – A ????? – A ????? – B ????? – C ?????????? ? ???????????????? ? ????????????????
- 25. ?????/???????????? Primary – A Primary – B Primary – C Secondary – C Secondary – A Secondary – B Data Center - West Secondary – A Secondary – B Secondary – C Secondary – B Secondary – C Secondary – A Data Center - East Arbiter – A Arbiter – B Arbiter – C Data Center - Central ? Tolerates server, rack, data center failures, network partitions
- 26. ???????????????? ?????:NYC ?????:LON ?????:NYC ?????:SYD ?????:LON ?????:NYC ?????:SYD ?????:LON ?????:SYD
- 27. ?????????? ?????? ?????? ?????? ?????? ?????? ?????? ?????? ????? ????? ????? ????? ????? ????? ????? ?????
- 29. MongoDB Management Service MongoDB????????MongoDB????? ? ???????????????? ????????????? ? ???????????????? ?┘ど??????100??? ?????? ? ???????????????? ??????????????? ??????
- 30. ??????
- 32. ???????????????? ????せ? ????????????? ㄆド ?????????ㄆド????? LDAP* Kerberos* x.509 ド??* ㄆ? (?????????) ?????????RBAC????? ???タ???????????? ??????????????タ? ┘? ?????* ???┘?せ?????(HIPAA,?) (????? ???????) ??? ??????: SSL (FIPS 140-2)* ?????: ???????????? *MongoDB Enterprise???
- 33. ??????????
- 34. ???ヲ???????????ㄒ? Resource ???? ?? Location MongoDB ?????? mongodb.com/download ↓????????????? education.mongodb.com ???????????? mongodb.com/events ???????? mongodb.com/white-papers ???????????? mongodb.com/customers ?????????? mongodb.com/presentations ??????? docs.mongodb.org