20120211_chugokugtug_icscalendar
•Download as KEY, PDF•
0 likes•237 views
This document provides information about Android 4.0 APIs and the CalendarContract content provider for accessing calendar data on Android devices. It outlines the key calendar tables and columns for querying events, calendars, and reminders, as well as details for creating calendar events that comply with iCalendar standards.
Report
Share
Report
Share
Recommended
THE BEATLES
The Beatles were a popular rock band formed in 1960 in Liverpool, England, consisting of John Lennon, Paul McCartney, George Harrison, and Ringo Starr. They gained fame playing in small pubs in Liverpool before performing in larger venues internationally. Some of their most famous albums include Please Please Me, Sgt. Pepper's Lonely Hearts Club Band, and Abbey Road. They broke up in 1970 to pursue solo careers, and John Lennon and George Harrison later passed away in 1980 and 2001, respectively, while Ringo Starr and Paul McCartney continue their music careers.
Finding common ground: integrating the eagle-i and VIVO ontologies
The document discusses integrating the eagle-i and VIVO ontologies into a single Integrated Semantic Framework (ISF) ontology to represent clinical and research expertise. It describes merging the ontologies by identifying overlapping entities and addressing representation issues like modeling people and their roles over time. The ontology merging process involved referencing existing entities from the source ontologies and incorporating external vocabularies while proposing new design patterns. The goal is to develop a standardized ontology and research profiling data exchange for connecting clinicians and researchers across institutions.
A merger of multi-species anatomy ontologies
Biocuration presentation of Uberon anatomy ontology merge with TAO, VSAO, and AAO; and the history of anatomy ontologies.
Enabling semantic search in a bio-specimen repository - ICBO 2013
This document describes enabling semantic search of bio-specimen data from multiple repositories at OHSU. It discusses using entity recognition and mapping to SNOMED-CT to semantically annotate pathology reports. An OWL ontology was developed with subclass and part-of relationships to support description logic queries over the annotated concepts. This allows searching for anatomical sites associated with specific pathologies or diseases. Challenges include the structured-text format of reports and limitations of current natural language processing and ontology techniques.
eScience Institute presentation on eagle-i
Presentation at the eScience Institute on eagle-i and identification of research resources. http://nnlm.gov/2013escience/
On the reproducibility of science
Presented at Beyond the PDF2 in Amsterdam 2013 http://www.force11.org/beyondthepdf2. This talk describes preliminary data showing the lack of scientific reproducibility solely based on an inability to identify the material resources used in the research. Final work to be published soon!
Recommended
THE BEATLES
The Beatles were a popular rock band formed in 1960 in Liverpool, England, consisting of John Lennon, Paul McCartney, George Harrison, and Ringo Starr. They gained fame playing in small pubs in Liverpool before performing in larger venues internationally. Some of their most famous albums include Please Please Me, Sgt. Pepper's Lonely Hearts Club Band, and Abbey Road. They broke up in 1970 to pursue solo careers, and John Lennon and George Harrison later passed away in 1980 and 2001, respectively, while Ringo Starr and Paul McCartney continue their music careers.
Finding common ground: integrating the eagle-i and VIVO ontologies
The document discusses integrating the eagle-i and VIVO ontologies into a single Integrated Semantic Framework (ISF) ontology to represent clinical and research expertise. It describes merging the ontologies by identifying overlapping entities and addressing representation issues like modeling people and their roles over time. The ontology merging process involved referencing existing entities from the source ontologies and incorporating external vocabularies while proposing new design patterns. The goal is to develop a standardized ontology and research profiling data exchange for connecting clinicians and researchers across institutions.
A merger of multi-species anatomy ontologies
Biocuration presentation of Uberon anatomy ontology merge with TAO, VSAO, and AAO; and the history of anatomy ontologies.
Enabling semantic search in a bio-specimen repository - ICBO 2013
This document describes enabling semantic search of bio-specimen data from multiple repositories at OHSU. It discusses using entity recognition and mapping to SNOMED-CT to semantically annotate pathology reports. An OWL ontology was developed with subclass and part-of relationships to support description logic queries over the annotated concepts. This allows searching for anatomical sites associated with specific pathologies or diseases. Challenges include the structured-text format of reports and limitations of current natural language processing and ontology techniques.
eScience Institute presentation on eagle-i
Presentation at the eScience Institute on eagle-i and identification of research resources. http://nnlm.gov/2013escience/
On the reproducibility of science
Presented at Beyond the PDF2 in Amsterdam 2013 http://www.force11.org/beyondthepdf2. This talk describes preliminary data showing the lack of scientific reproducibility solely based on an inability to identify the material resources used in the research. Final work to be published soon!
Getting (and giving) credit for all that we do
This document discusses the need to give proper attribution and credit to all contributions in the research process, not just authorship of publications. It notes that many roles and outputs are not adequately recognized currently. It introduces the open Research Information Framework (openRIF) which aims to develop ontologies and tools to connect people to their diverse research outputs and roles through interoperable systems in order to ensure proper attribution for all.
Quesa el de verdad
Quesa is a small village located in the mountains of Valencia, Spain, with around 743 inhabitants, mostly men. The village is surrounded by lakes and rivers and known for its scenic natural areas like Los Charcos. In August, the main festivities take place with firecrackers, music, and celebrations.
Creating presentations that don't suck
This talks gives some basic pointers on how to give power point presentations that are effective and get your point across. Great for young scientists, or really any academic field.
Envisioning a world where everyone helps solve disease
Keynote presented at the Semantic Web for Life Sciences conference in Cambridge, UK, December 9th, 2015
http://www.swat4ls.org/
The talk focuses on the use of ontologies for data integration to support rare disease diagnostics, and how so very many people unbeknownst to the patient or even to the researchers creating the data are involved in a diagnosis.
On the frontier of genotype-2-phenotype data integration
Presented at AMIA TBI 2016 BD2K Panel. A description of the Monarch Initiative's efforts to perform deep phenotyping data integration across species, facilitate exchange, and build computable G2P evidence modesl to aid variant interpretation.
Use of semantic phenotyping to aid disease diagnosis
This document discusses using semantic phenotyping to aid disease diagnosis. It outlines using ontologies to semantically annotate phenotypes seen in patients, animal models, and genes. This allows computation of semantic similarity between phenotypes to identify potential disease candidates. The document also discusses challenges such as uneven phenotype data distribution and differences in how phenotypes are described across species. It proposes building an integrated cross-species semantic framework called Uberpheno to address these challenges and better leverage animal models for diagnosing rare diseases.
Why the world needs phenopacketeers, and how to be one
Keynote presented at the the Ninth International Biocuration Conference Geneva, Switzerland, April 10-14, 2016
The health of an individual organism results from complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient disease features, variation across biodiversity) or environmental factors that may influence such phenotypic outcomes. Phenotypic features of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, museum collections, and even social media. In these contexts, biocuration has been pivotal to obtaining a computable representation, but is still deeply challenged by the lack of standardization, accessibility, persistence, and computability among these contexts. How can we help all phenotype data creators contribute to this biocuration effort when the data is so distributed across so many communities, sources, and scales? How can we track contributions and provide proper attribution? How can we leverage phenotypic data from the model organism or biodiversity communities to help diagnose disease or determine evolutionary relatedness? Biocurators unite in a new community effort to address these challenges.
Isf vivo2013
A talk about the merger and refactoring of the eagle-i and VIVO ontologies presented by myself, Brian Lowe, Janos Hajagos, and Erich Bremer at the VIVO2013 conference in St. Louis
Containerless in the Cloud with AWS Lambda
Slides from ConFoo (confoo.ca) 2017 presentation on Amazon Lambda. Covers AWS Lambda, AWS Cognito, and AWS API-Gateway.
Usable APIs at Scale
This half-day tutorial introduces Protocol Buffers, gRPC, and the open source tools that Google uses to publish and support some of the world's biggest APIs. We'll show how the Protocol Buffer language allows APIs to be described, reviewed, and implemented in a programming-language independent way, how gRPC enables high-performance streaming APIs, and how \ a few simple conventions can enable related tools to serve robust REST APIs and generate production-quality client libraries in seven popular programming languages. This is API publishing the Google way, but large teams aren't required. With shared open-source tooling, even the smallest developer can build scalable, usable APIs that delight.
https://apistrat18.sched.com/event/FTR3/usable-apis-at-scale-with-protocol-buffers-and-grpc-tim-burks-andrew-gunsch-google
Google+ API (2012)
this is last year my presentation last year (2012).
I presented on GDG DevFest Jakarta 2012.
(Google Day in g|indonesia 2012).
this year (2013) I will present for the same GDG DevFest event, I will bring the same topic, keep it updates with the latest version, and add some comparison with other Social Network.
Master a Cloud Native Standard - MicroProfile.pptx
Emily Jiang gave a presentation on MicroProfile, a set of lightweight, open source APIs for Java microservices. She began with an overview of MicroProfile's history and community-driven development process. She then provided a deep dive on various MicroProfile specifications, including Config, REST Client, OpenAPI, JWT Auth, Fault Tolerance, Health, Metrics, Telemetry, and more. Finally, she discussed the future of MicroProfile, including upcoming versions that will adopt OpenTelemetry Metrics and make other updates.
Eric Lafortune - Fighting application size with ProGuard and beyond
The document discusses various techniques for reducing Android application size, including compressing resources and assets, trimming unused resources and assets, splitting APK files, shrinking libraries, shrinking the application bytecode, and splitting dex files. It provides examples of using tools like ProGuard, DexGuard, and the Android Gradle plugin to apply these techniques at build time in order to reduce the overall size of the packaged Android application.
Eric Lafortune - Fighting application size with ProGuard and beyond
The document discusses various techniques for reducing Android application size, including compressing resources and assets, trimming unused resources and assets, splitting APK files, shrinking libraries, shrinking the application bytecode, and splitting dex files. It provides examples of using tools like ProGuard, DexGuard, and the Android Gradle plugin to apply these techniques at build time in order to reduce the overall size of the packaged Android application.
Monitorama 2019 PDX - Martin Mao
This document discusses strategies for monitoring high-cardinality time series data efficiently. It begins by describing the cardinality problem, where tagging metrics at a granular level can result in too many individual time series to store and query effectively. It then presents several solutions to optimize for both efficient storage and query performance, including asynchronously downsampling and aggregating data over time at ingest using a centralized aggregation tier, and allowing dynamic creation of aggregates tailored to different use cases and levels of detail. The goal is to store only the necessary data per use case while enabling flexible querying.
Android chat in the cloud
This document discusses building an Android chat app using Google Cloud Platform services including Cloud Datastore, authentication, and push notifications. It provides steps to create a backend using Mobile Backend Starter, generate client IDs, access APIs with and without authentication, add push notifications using Google Cloud Messaging, and discusses app architecture considerations.
Consumer centric api design v0.4.0
This document provides a summary of the key points from the document "Consumer-Centric API Design".
1. The document discusses best practices for designing APIs that are consumer-centric and easy for developers to use. It emphasizes data abstraction, using common HTTP methods and patterns, and focusing on the needs of API consumers.
2. The author advocates designing APIs around core CRUD concepts to abstract complex business logic and data structures. Real-world examples show both good and bad approaches to data abstraction.
3. Additional chapters will cover topics like HTTP requests and responses, API versioning, authentication, permissions, documentation and testing. The goal is for readers to understand how to build APIs that third-party developers will enjoy
GDG Kuwait - Modern android development
In this event we will walk you through best practices and the practical Implementation of the following topics:
Advantage of Kotlin over Java, Kotlin Coroutines .
What’s new in Android Studio, How to use Motion Layout Editor
NaviGation Architecture component, Vivewmodel, Livedata, Room database, Jetpack Compose,
Material Design Library...etc
App Distribution - Android App bundle over an APK
The Future of Sharding
The document discusses different approaches to scaling databases, including sharding and partitioning. It provides examples of sharding data across multiple tables based on a hashed key. It also demonstrates range partitioning a single table into multiple sub-tables based on time intervals, using PostgreSQL's native partitioning. The document inserts sample data and runs queries to showcase these different scaling techniques.
Goa tutorial
OAuth2 Goa library for Apps Script tutorial including how to use the Google Developer console dashboard. Handles Google and other providers as well as Service accounts.
The State of the Developer Ecosystem - .NET Conf Madrid 2018
This document contains information about various programming languages and technologies:
- JavaScript, Python, Java, and other languages are among the most popular according to a 2018 developer skills report.
- AWS, Azure, and Google Cloud are the top three cloud platforms based on a 2018 cloud adoption report.
- The document includes code samples for a .NET Core web API, unit tests, Dockerfile, Azure Pipelines configuration, Ansible playbook, and Helm charts - demonstrating the use of various technologies in a sample application.
Living with Garbage by Gregg Donovan at LuceneSolr Revolution 2013
Understanding the impact of garbage collection, both at a single node and a cluster level, is key to developing high-performance, high-availability Solr and Lucene applications. After a brief overview of garbage collection theory, we will review the design and use of the various collectors in the JVM.
At a single-node level, we will explore GC monitoring -- how to understand GC logs, how to monitor what % of your Solr request time is spend on GC, how to use VisualGC, YourKit, and other tools, and what to log and monitor. We will review GC tuning and how to measure success.
At a cluster-level, we will review how to design for partial availability -- how to avoid sending requests to a GCing node and how to be resilient to mid-request GC pauses.For application development, we will review common memory leak scenarios in custom Solr and Lucene application code and how to detect them.
More Related Content
Viewers also liked
Getting (and giving) credit for all that we do
This document discusses the need to give proper attribution and credit to all contributions in the research process, not just authorship of publications. It notes that many roles and outputs are not adequately recognized currently. It introduces the open Research Information Framework (openRIF) which aims to develop ontologies and tools to connect people to their diverse research outputs and roles through interoperable systems in order to ensure proper attribution for all.
Quesa el de verdad
Quesa is a small village located in the mountains of Valencia, Spain, with around 743 inhabitants, mostly men. The village is surrounded by lakes and rivers and known for its scenic natural areas like Los Charcos. In August, the main festivities take place with firecrackers, music, and celebrations.
Creating presentations that don't suck
This talks gives some basic pointers on how to give power point presentations that are effective and get your point across. Great for young scientists, or really any academic field.
Envisioning a world where everyone helps solve disease
Keynote presented at the Semantic Web for Life Sciences conference in Cambridge, UK, December 9th, 2015
http://www.swat4ls.org/
The talk focuses on the use of ontologies for data integration to support rare disease diagnostics, and how so very many people unbeknownst to the patient or even to the researchers creating the data are involved in a diagnosis.
On the frontier of genotype-2-phenotype data integration
Presented at AMIA TBI 2016 BD2K Panel. A description of the Monarch Initiative's efforts to perform deep phenotyping data integration across species, facilitate exchange, and build computable G2P evidence modesl to aid variant interpretation.
Use of semantic phenotyping to aid disease diagnosis
This document discusses using semantic phenotyping to aid disease diagnosis. It outlines using ontologies to semantically annotate phenotypes seen in patients, animal models, and genes. This allows computation of semantic similarity between phenotypes to identify potential disease candidates. The document also discusses challenges such as uneven phenotype data distribution and differences in how phenotypes are described across species. It proposes building an integrated cross-species semantic framework called Uberpheno to address these challenges and better leverage animal models for diagnosing rare diseases.
Why the world needs phenopacketeers, and how to be one
Keynote presented at the the Ninth International Biocuration Conference Geneva, Switzerland, April 10-14, 2016
The health of an individual organism results from complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient disease features, variation across biodiversity) or environmental factors that may influence such phenotypic outcomes. Phenotypic features of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, museum collections, and even social media. In these contexts, biocuration has been pivotal to obtaining a computable representation, but is still deeply challenged by the lack of standardization, accessibility, persistence, and computability among these contexts. How can we help all phenotype data creators contribute to this biocuration effort when the data is so distributed across so many communities, sources, and scales? How can we track contributions and provide proper attribution? How can we leverage phenotypic data from the model organism or biodiversity communities to help diagnose disease or determine evolutionary relatedness? Biocurators unite in a new community effort to address these challenges.
Isf vivo2013
A talk about the merger and refactoring of the eagle-i and VIVO ontologies presented by myself, Brian Lowe, Janos Hajagos, and Erich Bremer at the VIVO2013 conference in St. Louis
Viewers also liked (8)
Envisioning a world where everyone helps solve disease
Envisioning a world where everyone helps solve disease
On the frontier of genotype-2-phenotype data integration
On the frontier of genotype-2-phenotype data integration
Use of semantic phenotyping to aid disease diagnosis
Use of semantic phenotyping to aid disease diagnosis
Why the world needs phenopacketeers, and how to be one
Why the world needs phenopacketeers, and how to be one
Similar to 20120211_chugokugtug_icscalendar
Containerless in the Cloud with AWS Lambda
Slides from ConFoo (confoo.ca) 2017 presentation on Amazon Lambda. Covers AWS Lambda, AWS Cognito, and AWS API-Gateway.
Usable APIs at Scale
This half-day tutorial introduces Protocol Buffers, gRPC, and the open source tools that Google uses to publish and support some of the world's biggest APIs. We'll show how the Protocol Buffer language allows APIs to be described, reviewed, and implemented in a programming-language independent way, how gRPC enables high-performance streaming APIs, and how \ a few simple conventions can enable related tools to serve robust REST APIs and generate production-quality client libraries in seven popular programming languages. This is API publishing the Google way, but large teams aren't required. With shared open-source tooling, even the smallest developer can build scalable, usable APIs that delight.
https://apistrat18.sched.com/event/FTR3/usable-apis-at-scale-with-protocol-buffers-and-grpc-tim-burks-andrew-gunsch-google
Google+ API (2012)
this is last year my presentation last year (2012).
I presented on GDG DevFest Jakarta 2012.
(Google Day in g|indonesia 2012).
this year (2013) I will present for the same GDG DevFest event, I will bring the same topic, keep it updates with the latest version, and add some comparison with other Social Network.
Master a Cloud Native Standard - MicroProfile.pptx
Emily Jiang gave a presentation on MicroProfile, a set of lightweight, open source APIs for Java microservices. She began with an overview of MicroProfile's history and community-driven development process. She then provided a deep dive on various MicroProfile specifications, including Config, REST Client, OpenAPI, JWT Auth, Fault Tolerance, Health, Metrics, Telemetry, and more. Finally, she discussed the future of MicroProfile, including upcoming versions that will adopt OpenTelemetry Metrics and make other updates.
Eric Lafortune - Fighting application size with ProGuard and beyond
The document discusses various techniques for reducing Android application size, including compressing resources and assets, trimming unused resources and assets, splitting APK files, shrinking libraries, shrinking the application bytecode, and splitting dex files. It provides examples of using tools like ProGuard, DexGuard, and the Android Gradle plugin to apply these techniques at build time in order to reduce the overall size of the packaged Android application.
Eric Lafortune - Fighting application size with ProGuard and beyond
The document discusses various techniques for reducing Android application size, including compressing resources and assets, trimming unused resources and assets, splitting APK files, shrinking libraries, shrinking the application bytecode, and splitting dex files. It provides examples of using tools like ProGuard, DexGuard, and the Android Gradle plugin to apply these techniques at build time in order to reduce the overall size of the packaged Android application.
Monitorama 2019 PDX - Martin Mao
This document discusses strategies for monitoring high-cardinality time series data efficiently. It begins by describing the cardinality problem, where tagging metrics at a granular level can result in too many individual time series to store and query effectively. It then presents several solutions to optimize for both efficient storage and query performance, including asynchronously downsampling and aggregating data over time at ingest using a centralized aggregation tier, and allowing dynamic creation of aggregates tailored to different use cases and levels of detail. The goal is to store only the necessary data per use case while enabling flexible querying.
Android chat in the cloud
This document discusses building an Android chat app using Google Cloud Platform services including Cloud Datastore, authentication, and push notifications. It provides steps to create a backend using Mobile Backend Starter, generate client IDs, access APIs with and without authentication, add push notifications using Google Cloud Messaging, and discusses app architecture considerations.
Consumer centric api design v0.4.0
This document provides a summary of the key points from the document "Consumer-Centric API Design".
1. The document discusses best practices for designing APIs that are consumer-centric and easy for developers to use. It emphasizes data abstraction, using common HTTP methods and patterns, and focusing on the needs of API consumers.
2. The author advocates designing APIs around core CRUD concepts to abstract complex business logic and data structures. Real-world examples show both good and bad approaches to data abstraction.
3. Additional chapters will cover topics like HTTP requests and responses, API versioning, authentication, permissions, documentation and testing. The goal is for readers to understand how to build APIs that third-party developers will enjoy
GDG Kuwait - Modern android development
In this event we will walk you through best practices and the practical Implementation of the following topics:
Advantage of Kotlin over Java, Kotlin Coroutines .
What’s new in Android Studio, How to use Motion Layout Editor
NaviGation Architecture component, Vivewmodel, Livedata, Room database, Jetpack Compose,
Material Design Library...etc
App Distribution - Android App bundle over an APK
The Future of Sharding
The document discusses different approaches to scaling databases, including sharding and partitioning. It provides examples of sharding data across multiple tables based on a hashed key. It also demonstrates range partitioning a single table into multiple sub-tables based on time intervals, using PostgreSQL's native partitioning. The document inserts sample data and runs queries to showcase these different scaling techniques.
Goa tutorial
OAuth2 Goa library for Apps Script tutorial including how to use the Google Developer console dashboard. Handles Google and other providers as well as Service accounts.
The State of the Developer Ecosystem - .NET Conf Madrid 2018
This document contains information about various programming languages and technologies:
- JavaScript, Python, Java, and other languages are among the most popular according to a 2018 developer skills report.
- AWS, Azure, and Google Cloud are the top three cloud platforms based on a 2018 cloud adoption report.
- The document includes code samples for a .NET Core web API, unit tests, Dockerfile, Azure Pipelines configuration, Ansible playbook, and Helm charts - demonstrating the use of various technologies in a sample application.
Living with Garbage by Gregg Donovan at LuceneSolr Revolution 2013
Understanding the impact of garbage collection, both at a single node and a cluster level, is key to developing high-performance, high-availability Solr and Lucene applications. After a brief overview of garbage collection theory, we will review the design and use of the various collectors in the JVM.
At a single-node level, we will explore GC monitoring -- how to understand GC logs, how to monitor what % of your Solr request time is spend on GC, how to use VisualGC, YourKit, and other tools, and what to log and monitor. We will review GC tuning and how to measure success.
At a cluster-level, we will review how to design for partial availability -- how to avoid sending requests to a GCing node and how to be resilient to mid-request GC pauses.For application development, we will review common memory leak scenarios in custom Solr and Lucene application code and how to detect them.
The Ring programming language version 1.5.1 book - Part 178 of 180
This document provides summaries of various topics related to the Ring programming language and its documentation:
- It discusses classes, functions, libraries, and other features included in the Ring language and documentation.
- Examples are provided for common tasks like working with files, dates, strings, lists, objects, and more.
- Guidance is given for developing desktop and mobile applications using RingQt, and for embedding Ring in other languages.
- FAQs address frequent questions about Ring's features, capabilities, and how to accomplish common programming tasks.
ql.io at NodePDX
This document discusses the ql.io open source project, which provides a domain specific language (DSL) for making HTTP requests. The DSL allows HTTP resources to be treated like database tables, enabling CRUD operations on those resources with a SQL-like syntax. Ql.io can be used as an HTTP gateway and allows parallelizing and joining requests. It aims to simplify writing code for making API calls. The document provides examples of using the ql.io DSL and discusses how it can be used as a Node.js module.
Gene Presentation For Android
The document discusses Android, ZXing, and how they can be combined with Amazonca's barcode database to create a mobile barcode scanning application. Android is an open source mobile platform, ZXing is an open source barcode scanning library, and Amazonca makes their barcode data available through an API under a Creative Commons license. By leveraging these existing open components, a developer can easily build an application that allows mobile users to scan product barcodes and link to additional information on Amazonca.com.
The Great and Mighty C++
Are С and C++ Alive? Even More, IBM RPG Is! C and C++ Are Not Just for Old Systems. Are С and C++ Alive? Summary for C, C++. Embedded: C and С++ Are on the Rise.
Power your apps with Gmail, Google Drive, Calendar, Sheets, Slides & more
This is a ~90-minute technical introduction to G Suite/Google Apps developer tools, platforms, and APIs. Code samples are in Python+JS. Motivation: encourage developers to write apps integrating with G Suite APIs so they can monetize, taking advantage of the many schools & enterprises that are G Suite users. Delivered sessions at ISTE (Jun 2019), Google Cloud NEXT (Jul 2018), Google Cloud Summit - São Paulo (Nov 2017), DevFest DC (May 2017), DevFest NYC (Nov 2016), and GDG LA DevFest (Dec 2016).
Aws Quick Dirty Hadoop Mapreduce Ec2 S3
This document discusses using Amazon Web Services (AWS) and Hadoop MapReduce for quick and dirty parallel processing on the cloud. It provides an overview of AWS tools like EC2, S3, and Elastic MapReduce that can be used to launch and manage Hadoop clusters in the cloud. It also summarizes how MapReduce works and gives an example of analyzing Wikipedia page view logs with Hadoop Streaming and S3 for storage. The document concludes that Hadoop MapReduce provides an easy way to do distributed computing in the cloud.
Similar to 20120211_chugokugtug_icscalendar (20)
Master a Cloud Native Standard - MicroProfile.pptx
Master a Cloud Native Standard - MicroProfile.pptx
Eric Lafortune - Fighting application size with ProGuard and beyond
Eric Lafortune - Fighting application size with ProGuard and beyond
Eric Lafortune - Fighting application size with ProGuard and beyond
Eric Lafortune - Fighting application size with ProGuard and beyond
The State of the Developer Ecosystem - .NET Conf Madrid 2018
The State of the Developer Ecosystem - .NET Conf Madrid 2018
Living with Garbage by Gregg Donovan at LuceneSolr Revolution 2013
Living with Garbage by Gregg Donovan at LuceneSolr Revolution 2013
The Ring programming language version 1.5.1 book - Part 178 of 180
The Ring programming language version 1.5.1 book - Part 178 of 180
Power your apps with Gmail, Google Drive, Calendar, Sheets, Slides & more
Power your apps with Gmail, Google Drive, Calendar, Sheets, Slides & more
Recently uploaded
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Northern Engraving | Nameplate Manufacturing Process - 2024
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Recently uploaded (20)
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
20120211_chugokugtug_icscalendar
- 1. Android 4.0 api kotanin
- 2. kotanin Androider ArmoredCore
- 4. 2.3 3.0 api
- 6. 1
- 7. 1 Android
- 9. Android Git http:// source.android.com/ Python source/ downloading.html repo linux mac ( ω )
- 10. API
- 11. Android4.0
- 12. API API
- 14. CalendarContract
- 15. android.provider.CalendarContract Calendars( ) Events( ) Reminders( ) Instances( )( ) and more...
- 16. android.provider.CalendarContract new! Calendars( ) Events( ) Reminders( ) Instances( )( ) and more...
- 17. 1( ) ID DTSTART( ) DTEND( )orDURATION( ) RFC5445(iCalendar RFC2445)
- 18. 2( ) m(ry ACCOUNT_NAME “hogehigefuga@gmail.com” ACCOUNT_TYPE “com.google” NAME CALENDAR_DISPLAY_NAME CALENDAR_COLOR CALENDAR_ACCESS_LEVEL OWNER_ACCOUNT
- 19. 3( ) (ry EVENT_ID ID MINUTES ( ) METHOD ( )
- 20. ()
Editor's Notes
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n