Real time DQMM on Flink
•Download as PPTX, PDF•
0 likes•32 views
My use case is to provide monitoring, and improving the overall search data quality, also to find the unusual patterns of user’s search behavior, and notifying the intent on-site back to the respective business stakeholders. To achieve the same, I explored various big data processing engines, which can process huge data with complex business logic in real time. Eventually, I used Flink Stream processing. This talk will showcase how I used Flink to accomplish my goal.
Report
Share
Report
Share
Recommended
Real time data quality on Flink
My use case is to provide monitoring, and improving the overall search data quality, also to find the unusual patterns of user’s search behavior, and notifying the intent on-site back to the respective business stakeholders. To achieve the same, I explored various big data processing engines, which can process the huge data with complex business logic in real time. Eventually, I used Flink Stream processing. This talk will showcase how I used Flink to accomplish my goal.
Spring Cloud Kubernetes
Spring Cloud Kubernetes provides building blocks for developing cloud native applications on Kubernetes, including service registry, distributed configuration, distributed messaging, logging and monitoring, gateway capabilities, and integration with Netflix components like circuit breakers and fallbacks. It aims to simplify the development of applications targeting Kubernetes and cloud platforms by abstracting away common patterns for microservices running in containers.
Which watcher watches CloudWatch
Product comparison of services that consume CloudWatch data and create dashboards. A talk at the AWS Melbourne user group February 2014.
ASP.NET Scalability - WebDD
This document discusses techniques for writing scalable ASP.NET applications, including caching output and objects to improve performance, using paging to reduce database loads, and minimizing network traffic by managing viewstate and compressing content. It provides an overview of various caching strategies like output caching, donut caching, and object caching using the caching API. It also covers reducing viewstate size and compressing content and JavaScript to reduce page size.
MongoDB @ Pango
Pango has been using MongoDB since 2007 to store transaction and parking data, serving millions of customers. They previously used PHP and PostgreSQL but found MongoDB to be more flexible, scalable, and performant for their needs. Pango migrated their database to MongoDB Atlas for the advantages of a cloud database-as-a-service including easy maintenance, high availability, security features, and scalability. They demonstrated how application logs are stored polymorphically in MongoDB and how Atlas Live Migrate allowed upgrading their cluster to a new major version with minimal downtime.
Cloudcamp Chicago Nov 2104 Fintech - John Downey's "A Hypothetical Public Clo...
"A Hypothetical Public Cloud Do Over" - John Downey, Product Developer and Security Lead at Braintree @jtdwney
Inside election night at The New York Times | Altitude NYC
Over the past two decades, The New York Times has successfully made the transition to a digital-first company while maintaining its reputation as one of the most trusted news sources in the world. CTO Nick Rockwell discusses the latest steps in the Times’ journey: implementing Fastly in preparation for record traffic during the 2016 presidential election. He covers the impact the NYT saw to backend load and to global performance, as well as the long-term implications for their infrastructure. And of course, he also discusses the timeline of election night, and how surprise and unpredictability led to rapid shifts in reader behavior and the NYT’s response.
Building large scalable mission critical business applications on the web
Building large scalable mission critical business applications on the web presentaion for React Remote Conf 2016
Recommended
Real time data quality on Flink
My use case is to provide monitoring, and improving the overall search data quality, also to find the unusual patterns of user’s search behavior, and notifying the intent on-site back to the respective business stakeholders. To achieve the same, I explored various big data processing engines, which can process the huge data with complex business logic in real time. Eventually, I used Flink Stream processing. This talk will showcase how I used Flink to accomplish my goal.
Spring Cloud Kubernetes
Spring Cloud Kubernetes provides building blocks for developing cloud native applications on Kubernetes, including service registry, distributed configuration, distributed messaging, logging and monitoring, gateway capabilities, and integration with Netflix components like circuit breakers and fallbacks. It aims to simplify the development of applications targeting Kubernetes and cloud platforms by abstracting away common patterns for microservices running in containers.
Which watcher watches CloudWatch
Product comparison of services that consume CloudWatch data and create dashboards. A talk at the AWS Melbourne user group February 2014.
ASP.NET Scalability - WebDD
This document discusses techniques for writing scalable ASP.NET applications, including caching output and objects to improve performance, using paging to reduce database loads, and minimizing network traffic by managing viewstate and compressing content. It provides an overview of various caching strategies like output caching, donut caching, and object caching using the caching API. It also covers reducing viewstate size and compressing content and JavaScript to reduce page size.
MongoDB @ Pango
Pango has been using MongoDB since 2007 to store transaction and parking data, serving millions of customers. They previously used PHP and PostgreSQL but found MongoDB to be more flexible, scalable, and performant for their needs. Pango migrated their database to MongoDB Atlas for the advantages of a cloud database-as-a-service including easy maintenance, high availability, security features, and scalability. They demonstrated how application logs are stored polymorphically in MongoDB and how Atlas Live Migrate allowed upgrading their cluster to a new major version with minimal downtime.
Cloudcamp Chicago Nov 2104 Fintech - John Downey's "A Hypothetical Public Clo...
"A Hypothetical Public Cloud Do Over" - John Downey, Product Developer and Security Lead at Braintree @jtdwney
Inside election night at The New York Times | Altitude NYC
Over the past two decades, The New York Times has successfully made the transition to a digital-first company while maintaining its reputation as one of the most trusted news sources in the world. CTO Nick Rockwell discusses the latest steps in the Times’ journey: implementing Fastly in preparation for record traffic during the 2016 presidential election. He covers the impact the NYT saw to backend load and to global performance, as well as the long-term implications for their infrastructure. And of course, he also discusses the timeline of election night, and how surprise and unpredictability led to rapid shifts in reader behavior and the NYT’s response.
Building large scalable mission critical business applications on the web
Building large scalable mission critical business applications on the web presentaion for React Remote Conf 2016
Supporting large scale React applications
- The document discusses best practices for supporting large scale React apps, including handling HTTP requests, scaling out to multiple servers, programming language and code quality tools, optimizing Webpack builds, and logging errors.
- It recommends using middleware like Chaos Monkey to simulate failing HTTP requests during development, retrying requests on errors after a pause, and caching static data while handling cache invalidation.
- For scaling, it suggests planning for multiple servers from the start and using a tool like Chaos Monkey to randomly route requests during development.
Monitoring with Stackdriver
A presentation on how we came to find Stackdriver for system and service monitoring, how we implemented it and how we use it on a day to day basis.
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk, we’ll mention all of the aspects that you should take into consideration when monitoring a distributed system using tools like Web Services, Spark, Cassandra, MongoDB, AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
ASP.NET Scalability - VBUG London
This document discusses techniques for writing scalable ASP.NET applications, including caching output, objects, and data; managing paging; reducing network loads by optimizing viewstate and using compression; and distributed caching options like Velocity, NCache, and memcached. It provides an overview of these techniques and resources for further information.
Maintaining Consistency for a Financial Event-Driven Architecture (Iago Borge...
Nubank is leading financial technology in Latin America with a 100% digital banking experience, being recognized as the fastest growing digital banking outside of Asia. Our business aims at fighting the complexity we see in Brazilian banking and empowering people towards their money once again. To successfully deliver an amazing experience for more than 5 million credit card customers and 2.5 million checking account customers, we created a software platform composed by more than a hundred microsservices that are fast and reliable, even when facing unpredictable failures. Everyday we accomplish this goal with Apache Kafka as our communication backbone. This talk will detail how we are able to successfully run our platform by applying different patterns and development techniques to create a consistent event-driven design, capable of correcting data processing failures as fast as our business needs to be. We’ll show how patterns like dead letter queue, circuit breakers and back off are applied into the architecture to ensure that failures can be handled as consistently and transparently as possible by engineers across the company . Finally, the talk will also show the set of tools that were created on this architecture to address the concerns about quick fixes of failed events, such as a home grown CLI capable of inspecting failed events and reprocessing them as needed, all built on top of Apache Kafka.
Living on the Edge (Service): Bundling Microservices to Optimize Consumption ...
Devices (phones, tablets, etc.) already consume most services/data, but they have to get those services somewhere! In the session that accompanies this presentation, Mark shows how to use proven patterns & open source software to quickly and effectively build edge services - API gateways - that marshal & streamline communication between your key services and end-users with devices in hand. Mark also demonstrates how to develop & manage microservices & expose them via an edge service, securely, using OSS tools employed by Netflix to keep movies streaming globally 24x7.
TDC2016SP - Living on the Edge (Service): Bundling Microservices to Optimize ...
Living on the Edge (Service): Bundling Microservices to Optimize Consumption for Devices with Spring Cloud & Netflix OSS
Lessons Learned: Spring Cloud -> Docker -> Kubernetes
This presentations covers our journey to cloud native architectures and the bit lessons that we learned while transitioning to distributed infrastructures.
Service Fabric
Microsoft Azure Service Fabric is a distributed systems platform for building and managing microservices and containerized applications. It allows building reliable, scalable, and manageable distributed applications. Service Fabric handles tasks like resource management, failover, load balancing, service placement, and upgrades. It supports building stateful and stateless microservices that can be deployed to public or private clouds, VMs, or containers. Service Fabric has been battle-tested for over 5 years at Microsoft.
How to adopt React for moving fast startup
The document discusses how a startup has adopted new technologies and scaled rapidly over 10 months. It overhauled its web platform and launched a new product using React Native by focusing on engineering culture, adopting modern tools, and understanding requirements from a business perspective. Continuous delivery of new code, processing over 120 million numbers daily, and rewriting the platform with their own UI library helped the startup scale quickly while improving quality.
NoSQL at Gumtree
Presentation on the usage of NoSQL technologies at Gumtree.com
Covers experiences of using Riak, Redis and MongoDB
Leonard Austin (Ravelin) - DevOps in a Machine Learning World
As machine learning moves from niche to mainstream tech stacks how do DevOps engineers prepare for a very different set of problems. A brief look at the new issues that arise from machine learning, an overview of cutting-edge "old school" solutions and how to drag data science (kicking and screaming) into a world of automation.
Video: https://www.youtube.com/watch?v=KHxZCRajRiA
Join DevOps Exchange London here: http://meetup.com/DevOps-Exchange-London/
Follow DOXLON on twitter http://www.twitter.com/doxlon
Nunca digas nunca: La nube y algunos principios que no pensabas que llegaría...
The document discusses some principles for using cloud computing that were previously unexpected. It notes the massive amounts of data, users, transactions, and features that cloud services must support. Some key principles highlighted include relying on elasticity and pay-as-you-go models, designing for continuous delivery, handling faults and failures gracefully, automating everything possible, and testing in production environments. The document concludes by inviting interested parties to a hands-on lab for Windows Azure.
How Do you Scale for both Predictable and Unpredictable Events on such a Larg...
The Canadian Broadcasting Corporation is Canada's national public broadcaster. Our website, www.cbc.ca, is one of the largest and most visited in the country, delivering 700 million hits per day on an origin infrastructure composed of only six web servers.
With the right combination of publishing methods, content delivery networks and fine-tuned caching rules, the CBC’s infrastructure has enough headroom to handle spikes of 40x normal traffic during major news events.
How do you scale to almost infinite capacity when you can't predict the world’s events? It's impossible to prepare for that influx of visitors when a celebrity dies, a natural disaster occurs or for other breaking news. Scaling for predictable events is easier, but although we know when the next Federal Election, Olympics Games or FIFA Cup is scheduled, these events present different challenges. Balancing the architecture for both scenarios is important.
CloudCamp London 3 - NT/e - Matthew Fowler
CloudSave is an object-relational mapping tool for the cloud that provides distributed transactions and optimal data placement across cloud resources while reducing unintended consequences, aiming to be as safe as a traditional database but as fast as the cloud. It is being designed and built using the GigaSpaces application platform to enable big and fast data applications to run reliably at cloud speeds. A demonstration of CloudSave is planned for April.
Event-Sourcing your React-Redux applications
The document discusses event sourcing, which is an approach to storing data in a database by recording the full history of events that caused the data to change state. It describes how event sourcing can be used with React and Redux applications by having command services generate events from user actions, storing those events in a database, and using projection services to transform the events into data views. Projection services update the Redux store, which then updates the React components to display the new state to the user.
Event-Sourcing your React-Redux applications at HolyJS 2016
This document discusses event sourcing for React-Redux applications. It introduces event sourcing as an architecture where commands trigger events that are stored in an event log, and views are updated by processing the event log through projections. It provides examples of using event sourcing with React-Redux, including storing events in a database, using command and query services, and updating views through projections driven by pushed events.
Mistakes - I’ve made a few. Blunders in event-driven architecture | Simon Aub...
Simon Aubury shares lessons he has learned from mistakes made with event-driven architecture (EDA). Some key lessons include: 1) Messages are not the same as events and have different purposes; 2) Rules for asynchronous communication differ within versus across service boundaries; and 3) It is important to understand event types and boundaries before implementing EDA. He emphasizes starting with EDA now to gain experience and avoid overengineering solutions.
Servers? Where we're going we don't need servers.
Real-time data is becoming ubiquitous. Mobile apps, Internet of Things, connected cars, and JavaScript-based desktop apps are relying more and more on real-time data and events. In this short talk, we’ll dive into how to add real-time functionality to your HTML5 apps and ways to build out back-end infrastructure.
Alternatives to REST
Hosted Real-time networks
Chrome developer tools
Node.js, Faye and Socket.io
Event-Sourcing your React-Redux applications
This document discusses event sourcing for React-Redux applications. It introduces event sourcing and how it can be used to store application data and commands. Events are stored in a database and then projected from those events to build up current application state. This allows reconstructing state by replaying the sequence of events from the beginning. It provides an example of drafting a permit using commands, events and projections to update the UI through Redux state changes.
Real time dqmm on flink
My use case is to provide monitoring, and improving the overall search data quality, also to find the unusual patterns of user’s search behavior, and notifying the intent on-site back to the respective business stakeholders. To achieve the same, I explored various big data processing engines, which can process huge data with complex business logic in real time. Eventually, I used Flink Stream processing. This talk will showcase how I used Flink to accomplish my goal.
Aljoscha Krettek - Apache Flink® and IoT: How Stateful Event-Time Processing ...
This document discusses Apache Flink and how it enables accurate analytics for Internet of Things (IoT) applications through stateful event-time stream processing. It begins by defining IoT and event-time stream processing, explaining that IoT data is continuously generated and has timestamps. It then discusses challenges like time mismatches between event time and processing time. The document also covers Flink's capabilities for stateful stream processing including failure handling through checkpoints, updating applications using savepoints, and high availability of the JobManager. It positions Flink as a stateful stream processor well-suited for IoT use cases.
More Related Content
What's hot
Supporting large scale React applications
- The document discusses best practices for supporting large scale React apps, including handling HTTP requests, scaling out to multiple servers, programming language and code quality tools, optimizing Webpack builds, and logging errors.
- It recommends using middleware like Chaos Monkey to simulate failing HTTP requests during development, retrying requests on errors after a pause, and caching static data while handling cache invalidation.
- For scaling, it suggests planning for multiple servers from the start and using a tool like Chaos Monkey to randomly route requests during development.
Monitoring with Stackdriver
A presentation on how we came to find Stackdriver for system and service monitoring, how we implemented it and how we use it on a day to day basis.
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk, we’ll mention all of the aspects that you should take into consideration when monitoring a distributed system using tools like Web Services, Spark, Cassandra, MongoDB, AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing, that it comes not from an Ops Guy.
ASP.NET Scalability - VBUG London
This document discusses techniques for writing scalable ASP.NET applications, including caching output, objects, and data; managing paging; reducing network loads by optimizing viewstate and using compression; and distributed caching options like Velocity, NCache, and memcached. It provides an overview of these techniques and resources for further information.
Maintaining Consistency for a Financial Event-Driven Architecture (Iago Borge...
Nubank is leading financial technology in Latin America with a 100% digital banking experience, being recognized as the fastest growing digital banking outside of Asia. Our business aims at fighting the complexity we see in Brazilian banking and empowering people towards their money once again. To successfully deliver an amazing experience for more than 5 million credit card customers and 2.5 million checking account customers, we created a software platform composed by more than a hundred microsservices that are fast and reliable, even when facing unpredictable failures. Everyday we accomplish this goal with Apache Kafka as our communication backbone. This talk will detail how we are able to successfully run our platform by applying different patterns and development techniques to create a consistent event-driven design, capable of correcting data processing failures as fast as our business needs to be. We’ll show how patterns like dead letter queue, circuit breakers and back off are applied into the architecture to ensure that failures can be handled as consistently and transparently as possible by engineers across the company . Finally, the talk will also show the set of tools that were created on this architecture to address the concerns about quick fixes of failed events, such as a home grown CLI capable of inspecting failed events and reprocessing them as needed, all built on top of Apache Kafka.
Living on the Edge (Service): Bundling Microservices to Optimize Consumption ...
Devices (phones, tablets, etc.) already consume most services/data, but they have to get those services somewhere! In the session that accompanies this presentation, Mark shows how to use proven patterns & open source software to quickly and effectively build edge services - API gateways - that marshal & streamline communication between your key services and end-users with devices in hand. Mark also demonstrates how to develop & manage microservices & expose them via an edge service, securely, using OSS tools employed by Netflix to keep movies streaming globally 24x7.
TDC2016SP - Living on the Edge (Service): Bundling Microservices to Optimize ...
Living on the Edge (Service): Bundling Microservices to Optimize Consumption for Devices with Spring Cloud & Netflix OSS
Lessons Learned: Spring Cloud -> Docker -> Kubernetes
This presentations covers our journey to cloud native architectures and the bit lessons that we learned while transitioning to distributed infrastructures.
Service Fabric
Microsoft Azure Service Fabric is a distributed systems platform for building and managing microservices and containerized applications. It allows building reliable, scalable, and manageable distributed applications. Service Fabric handles tasks like resource management, failover, load balancing, service placement, and upgrades. It supports building stateful and stateless microservices that can be deployed to public or private clouds, VMs, or containers. Service Fabric has been battle-tested for over 5 years at Microsoft.
How to adopt React for moving fast startup
The document discusses how a startup has adopted new technologies and scaled rapidly over 10 months. It overhauled its web platform and launched a new product using React Native by focusing on engineering culture, adopting modern tools, and understanding requirements from a business perspective. Continuous delivery of new code, processing over 120 million numbers daily, and rewriting the platform with their own UI library helped the startup scale quickly while improving quality.
NoSQL at Gumtree
Presentation on the usage of NoSQL technologies at Gumtree.com
Covers experiences of using Riak, Redis and MongoDB
Leonard Austin (Ravelin) - DevOps in a Machine Learning World
As machine learning moves from niche to mainstream tech stacks how do DevOps engineers prepare for a very different set of problems. A brief look at the new issues that arise from machine learning, an overview of cutting-edge "old school" solutions and how to drag data science (kicking and screaming) into a world of automation.
Video: https://www.youtube.com/watch?v=KHxZCRajRiA
Join DevOps Exchange London here: http://meetup.com/DevOps-Exchange-London/
Follow DOXLON on twitter http://www.twitter.com/doxlon
Nunca digas nunca: La nube y algunos principios que no pensabas que llegaría...
The document discusses some principles for using cloud computing that were previously unexpected. It notes the massive amounts of data, users, transactions, and features that cloud services must support. Some key principles highlighted include relying on elasticity and pay-as-you-go models, designing for continuous delivery, handling faults and failures gracefully, automating everything possible, and testing in production environments. The document concludes by inviting interested parties to a hands-on lab for Windows Azure.
How Do you Scale for both Predictable and Unpredictable Events on such a Larg...
The Canadian Broadcasting Corporation is Canada's national public broadcaster. Our website, www.cbc.ca, is one of the largest and most visited in the country, delivering 700 million hits per day on an origin infrastructure composed of only six web servers.
With the right combination of publishing methods, content delivery networks and fine-tuned caching rules, the CBC’s infrastructure has enough headroom to handle spikes of 40x normal traffic during major news events.
How do you scale to almost infinite capacity when you can't predict the world’s events? It's impossible to prepare for that influx of visitors when a celebrity dies, a natural disaster occurs or for other breaking news. Scaling for predictable events is easier, but although we know when the next Federal Election, Olympics Games or FIFA Cup is scheduled, these events present different challenges. Balancing the architecture for both scenarios is important.
CloudCamp London 3 - NT/e - Matthew Fowler
CloudSave is an object-relational mapping tool for the cloud that provides distributed transactions and optimal data placement across cloud resources while reducing unintended consequences, aiming to be as safe as a traditional database but as fast as the cloud. It is being designed and built using the GigaSpaces application platform to enable big and fast data applications to run reliably at cloud speeds. A demonstration of CloudSave is planned for April.
Event-Sourcing your React-Redux applications
The document discusses event sourcing, which is an approach to storing data in a database by recording the full history of events that caused the data to change state. It describes how event sourcing can be used with React and Redux applications by having command services generate events from user actions, storing those events in a database, and using projection services to transform the events into data views. Projection services update the Redux store, which then updates the React components to display the new state to the user.
Event-Sourcing your React-Redux applications at HolyJS 2016
This document discusses event sourcing for React-Redux applications. It introduces event sourcing as an architecture where commands trigger events that are stored in an event log, and views are updated by processing the event log through projections. It provides examples of using event sourcing with React-Redux, including storing events in a database, using command and query services, and updating views through projections driven by pushed events.
Mistakes - I’ve made a few. Blunders in event-driven architecture | Simon Aub...
Simon Aubury shares lessons he has learned from mistakes made with event-driven architecture (EDA). Some key lessons include: 1) Messages are not the same as events and have different purposes; 2) Rules for asynchronous communication differ within versus across service boundaries; and 3) It is important to understand event types and boundaries before implementing EDA. He emphasizes starting with EDA now to gain experience and avoid overengineering solutions.
Servers? Where we're going we don't need servers.
Real-time data is becoming ubiquitous. Mobile apps, Internet of Things, connected cars, and JavaScript-based desktop apps are relying more and more on real-time data and events. In this short talk, we’ll dive into how to add real-time functionality to your HTML5 apps and ways to build out back-end infrastructure.
Alternatives to REST
Hosted Real-time networks
Chrome developer tools
Node.js, Faye and Socket.io
Event-Sourcing your React-Redux applications
This document discusses event sourcing for React-Redux applications. It introduces event sourcing and how it can be used to store application data and commands. Events are stored in a database and then projected from those events to build up current application state. This allows reconstructing state by replaying the sequence of events from the beginning. It provides an example of drafting a permit using commands, events and projections to update the UI through Redux state changes.
What's hot (20)
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Maintaining Consistency for a Financial Event-Driven Architecture (Iago Borge...
Maintaining Consistency for a Financial Event-Driven Architecture (Iago Borge...
Living on the Edge (Service): Bundling Microservices to Optimize Consumption ...
Living on the Edge (Service): Bundling Microservices to Optimize Consumption ...
TDC2016SP - Living on the Edge (Service): Bundling Microservices to Optimize ...
TDC2016SP - Living on the Edge (Service): Bundling Microservices to Optimize ...
Lessons Learned: Spring Cloud -> Docker -> Kubernetes
Lessons Learned: Spring Cloud -> Docker -> Kubernetes
Leonard Austin (Ravelin) - DevOps in a Machine Learning World
Leonard Austin (Ravelin) - DevOps in a Machine Learning World
Nunca digas nunca: La nube y algunos principios que no pensabas que llegaría...
Nunca digas nunca: La nube y algunos principios que no pensabas que llegaría...
How Do you Scale for both Predictable and Unpredictable Events on such a Larg...
How Do you Scale for both Predictable and Unpredictable Events on such a Larg...
Event-Sourcing your React-Redux applications at HolyJS 2016
Event-Sourcing your React-Redux applications at HolyJS 2016
Mistakes - I’ve made a few. Blunders in event-driven architecture | Simon Aub...
Mistakes - I’ve made a few. Blunders in event-driven architecture | Simon Aub...
Similar to Real time DQMM on Flink
Real time dqmm on flink
My use case is to provide monitoring, and improving the overall search data quality, also to find the unusual patterns of user’s search behavior, and notifying the intent on-site back to the respective business stakeholders. To achieve the same, I explored various big data processing engines, which can process huge data with complex business logic in real time. Eventually, I used Flink Stream processing. This talk will showcase how I used Flink to accomplish my goal.
Aljoscha Krettek - Apache Flink® and IoT: How Stateful Event-Time Processing ...
This document discusses Apache Flink and how it enables accurate analytics for Internet of Things (IoT) applications through stateful event-time stream processing. It begins by defining IoT and event-time stream processing, explaining that IoT data is continuously generated and has timestamps. It then discusses challenges like time mismatches between event time and processing time. The document also covers Flink's capabilities for stateful stream processing including failure handling through checkpoints, updating applications using savepoints, and high availability of the JobManager. It positions Flink as a stateful stream processor well-suited for IoT use cases.
Getting started with caliburn.micro and windows phone 7
On Saturday 13th October 2012, I did a talk entitled “Getting Started with Caliburn.Micro and Windows Phone 7″.
In-Stream Processing Service Blueprint, Reference architecture for real-time ...
What is it about? In-Stream Event Processing is a new approach for building near real time big data systems with rapidly growing user base and applications like clickstream analytics, preventive maintenance or fraud detection. Maturity of some open source projects enables building an enterprise grade In-Stream Processing service in-house. However the open source world comprises of many competing projects of different maturity, having different perspectives so the task to select effective and efficient projects is not straightforward. In the talk I’ll present a blueprint of an In-Stream Processing Service, enterprise grade reliable and scalable, cloud ready, build from 100% open source components.
TidalScale Slides
The document discusses the need for flexible data centers to efficiently manage unpredictable workloads and increasing data volumes. It introduces software-defined servers as the next step after software-defined storage and networks. Software-defined servers allow a single virtual machine to span multiple physical servers, enabling thousands of configurations. They provide an easy and affordable way to right-size applications using commodity hardware that scales flexibly in size. An industry legend has said that software-defined servers will be how all servers are built in the future.
A Trifecta of Real-Time Applications: Apache Kafka, Flink, and Druid
"The data coming into Kafka is fresh and hot. And you can deliver a new level of operational visibility and intelligence fueling applications with it. But streaming data is no longer real-time when the sink is batch. So the challenge is processing it and analyzing it at scale and extracting those insights - before they go stale.
So what’s the right architecture? Should you ingest streams into a data warehouse or data lake? Maybe use a stream processor or a database? Engineering teams love using Apache Flink, but they also love using Apache Druid, a popular real-time analytics database used by 1000s of companies like Confluent and Netflix. Do you need Flink and Druid? When does it make sense vs when does it not?
Join this session to learn about Apache Druid and why companies use it in combination with Kafka and Flink for real-time applications. Learn how Apache Druid complements Flink and Kafka - and what makes it purpose-built for analyzing streams and events. This talk shows real-world examples from companies that use Apache Druid with Kafka and Flink in production today and the best-practices that every dev can take advantage of."
Building real-time data analytics on Google Cloud
Presented at the 25th Data Science Leuven meetup on 2020/03/11
Jonny Daenen explains the steps they took at Selligent to create a multi-tenant real-time data pipeline. He discusses all challenges the team encountered as well as the tools they used. The benefits of using Google Cloud Platform to remove operational hurdles when moving data pipelines to production are demonstrated.
Silverlight vs HTML5 - Lessons learned from the real world...
Peter tells us from his last project: building a better EBay in Silverlight and shows us his view on this topic.
Big server-is-watching-you
The document summarizes a presentation about using Zend Server's monitoring and profiling features to diagnose performance problems in applications. It begins with an introduction to the speaker and an overview of the session. It then discusses common issues like slow performance, errors and high memory usage that are difficult to reproduce. The presentation demonstrates how to use Zend Server's monitoring and code tracing to diagnose examples of these types of problems in a sample BeerIOU application. It also covers the performance impact and advantages of Zend Server's monitoring features.
AWS Security in Your Sleep: Build End-to-End Automation for IR Workflows (SEC...
In previous years, we introduced and explored AWS-oriented intrusion detection and incident response. We also presented a variety of related idea-to-code demonstrations, from automating penetration testing using IoT buttons to force-multiplying your security team with Alexa. We are back with new tips, tricks, and demos that you will love, of course, but this time, you will learn about turning off your pager and getting a full night's sleep while the machines do all your incident response work.
Потоковая обработка больших данных
Эталонная архитектура сервиса из компонентов со 100% открытым исходным кодом, готового к развертыванию в облаках, с масштабируемостью и надежностью уровня предприятия.
Антон Овчинников, Grid Dynamics
Enterprise Cloud Governance: A Frictionless Approach
As enterprise IT teams become a broker of cloud services, they need to embrace a new approach to cloud governance. Frictionless governance embeds and automates necessary controls to drive delays to zero by offering developers and business units cloud resources as quickly as teams can obtain them directly from cloud providers.
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
Last week SnapLogic sponsored partner event Splunk Worldwide Users' Conference in Las Vegas. The theme of the conference was "Your Data, No Limits." In keeping with this theme, SnapLogic helps Splunk customers access more comprehensive analytics by integrating as much data as possible from as many sources as possible, and by streamlining the business process of loading data in Splunk, detecting problems, and facilitating actions that result in a prompt resolution.
To learn more, visit: http://www.snaplogic.com/.
Real Time Business Platform by Ivan Novick from Pivotal
This document discusses Pivotal's real time business platform for maximizing the value of data investments. It recommends identifying business problems with high ROI potential, then focusing data solutions on high-speed ingestion, consolidation, real-time queries, and analytics to drive real-time insights. The platform combines Gemfire for fast transactions with Greenplum for analytics. Use cases discussed include predictive maintenance, fraud detection, and recommendation engines. The platform provides a complete solution from data capture and analytics to application integration.
How Precisely and Splunk Can Help You Better Manage Your IBM Z and IBM i Envi...
Splunk, an industry leader in IT operations and security analytics, is moving to the cloud. Adopting Splunk in the cloud can help you make better, faster decisions with real-time visibility across the enterprise. That said, if your critical business services rely on the IBM Z or IBM i, including these systems is a must in your new Splunk environment.
Having these systems in your Splunk environment helps remove a significant blind spot in your modernization efforts - avoiding security risks, failed audits, downtime, and escalating costs.
Join this discussion with presenters Brady Moyer from Splunk and Ian Hartley from Precisely to learn how to seamlessly integrate IBM Z and IBM i into Splunk for a true enterprise-wide view of your IT landscape.
During this on-demand webinar, you will hear:
• How Precisely Ironstream provides integration with Splunk without the need for mainframe or IBM i expertise
• The different types of data that can be collected and forwarded to Splunk
• Example use cases for events, security, and performance data
Automated Asset Tracking in the Data Center: How IBM Reduced the Time/Cost of...
This document discusses how IBM reduced the time and costs of tracking assets in their data centers by implementing an automated asset tracking system using RFID technology. It outlines the high costs of manual asset tracking processes, such as inventory collection, reconciliation of inaccurate records, and time spent locating misplaced assets. It then describes how IBM piloted an RFID-based solution across several of their data centers, which improved inventory accuracy from 71.8% to 99.7% and reduced reconciliation times by 80%. The system provided full asset visibility and analytics capabilities, and helped IBM optimize environmental monitoring to save $10,000 annually. IBM plans to deploy the smarter asset management solution across all of their global data centers over the next two years.
Stream Processing @ Lyft
Lyft's streaming platform uses Apache Flink for stream processing and Apache Kafka for messaging. Flink was chosen for its capabilities around state management, exactly-once processing, and flexible APIs. Kafka was chosen for its durability, low latency, and consumer fanout. However, open problems remain around rescaling Kafka while preserving per-key ordering, enabling dynamic stream computations, long-term event storage, and zero downtime deployments. Lyft is working to solve these challenges as it builds out its next generation streaming platform.
Rich, Real-time Mobile User Experiences @Devoxx UK
Rich, Real-time Mobile User Experiences @Devoxx UK
My presentation at Devoxx UK on some ways to increase interactivty in mobile applications. Many of these techniques are embodied in Diffusion, Push Technology's premier data-distribution engine.
Stream processing for the practitioner: Blueprints for common stream processi...
Aljoscha Krettek offers an overview of the modern stream processing space, details the challenges posed by stateful and event-time-aware stream processing, and shares core archetypes ("application blueprints”) for stream processing drawn from real-world use cases with Apache Flink.
Topics include:
* Aggregating IoT event data, in which event-time-aware processing, handling of late data, and state are important
* Data enrichment, in which a stream of real-time events is “enriched” with data from a slowly changing database of supplemental data points
* Dynamic stream processing, in which a stream of control messages and dynamically updated user logic is used to process a stream of events for use cases such as alerting and fraud detection
Micrometrics to forecast performance tsunamis
Tsunami waves travel at the speed of 500 - 600 miles/hr. Normal waves travel at the speed of 5 - 60 miles/hr. Due to technical limitations, even massive Tsunamis are hard to forecast and detect beforehand. In recent times, hyper sensitive micro-metrics measuring technologies are employed to forecast Tsunamis. Similarly, it’s hard to forecast production performance problems beforehand. In this session you will learn the micro-metrics to be measured in dev/test environments that can forecast production performance problems with a fair level of accuracy.
Similar to Real time DQMM on Flink (20)
Aljoscha Krettek - Apache Flink® and IoT: How Stateful Event-Time Processing ...
Aljoscha Krettek - Apache Flink® and IoT: How Stateful Event-Time Processing ...
Getting started with caliburn.micro and windows phone 7
Getting started with caliburn.micro and windows phone 7
In-Stream Processing Service Blueprint, Reference architecture for real-time ...
In-Stream Processing Service Blueprint, Reference architecture for real-time ...
A Trifecta of Real-Time Applications: Apache Kafka, Flink, and Druid
A Trifecta of Real-Time Applications: Apache Kafka, Flink, and Druid
Silverlight vs HTML5 - Lessons learned from the real world...
Silverlight vs HTML5 - Lessons learned from the real world...
AWS Security in Your Sleep: Build End-to-End Automation for IR Workflows (SEC...
AWS Security in Your Sleep: Build End-to-End Automation for IR Workflows (SEC...
Enterprise Cloud Governance: A Frictionless Approach
Enterprise Cloud Governance: A Frictionless Approach
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
Real Time Business Platform by Ivan Novick from Pivotal
Real Time Business Platform by Ivan Novick from Pivotal
How Precisely and Splunk Can Help You Better Manage Your IBM Z and IBM i Envi...
How Precisely and Splunk Can Help You Better Manage Your IBM Z and IBM i Envi...
Automated Asset Tracking in the Data Center: How IBM Reduced the Time/Cost of...
Automated Asset Tracking in the Data Center: How IBM Reduced the Time/Cost of...
Rich, Real-time Mobile User Experiences @Devoxx UK
Rich, Real-time Mobile User Experiences @Devoxx UK
Stream processing for the practitioner: Blueprints for common stream processi...
Stream processing for the practitioner: Blueprints for common stream processi...
Recently uploaded
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
原版办【微信号:BYZS866】【兰加拉学院毕业证(Langara毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
原版办【微信号:BYZS866】【英属哥伦比亚大学毕业证(UBC毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
一比一原版(CU毕业证)卡尔顿大学毕业证如何办理
原件一模一样【微信：95270640】【卡尔顿大学毕业证CU学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理卡尔顿大学毕业证本科学位证成绩单CU学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理卡尔顿大学毕业证CU学位证本科学位证成绩单【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理卡尔顿大学毕业证本科学位证成绩单CU学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理卡尔顿大学毕业证本科学位证成绩单CU学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版制作【微信:41543339】【弗林德斯大学毕业证(Flinders毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
University of New South Wales degree offer diploma Transcript
澳洲UNSW毕业证书制作新南威尔士大学假文凭定制Q微168899991做UNSW留信网教留服认证海牙认证改UNSW成绩单GPA做UNSW假学位证假文凭高仿毕业证申请新南威尔士大学University of New South Wales degree offer diploma Transcript
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
学校原件一模一样【微信：741003700 】《(unimelb毕业证书)墨尔本大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
一比一原版(UO毕业证)渥太华大学毕业证如何办理
原件一模一样【微信：95270640】【渥太华大学毕业证UO学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理渥太华大学毕业证UO学位证毕业证offer【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Build applications with generative AI on Google Cloud
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Recently uploaded (20)
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
Monthly Management report for the Month of May 2024
Monthly Management report for the Month of May 2024
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Build applications with generative AI on Google Cloud
Build applications with generative AI on Google Cloud
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
Real time DQMM on Flink
- 1. Real Time DQMM on Flink Jaydeep Staff Engineer in Search Team @ WalmartLabs Apache Oozie Committer June, 2019
- 2. Table of Contents 2 • What is Real Time Aggregation? • Use Cases • Processing engine • Flink vs Spark • Flink on Yarn • Real Time DQMM Architecture • 100% data completeness • Demo • What Next • Open Items
- 3. What is Real Time Aggregation? 3 • What is real time ? • What is the processing delay today? • What real time offering? • Why do we need it?
- 4. Use Cases 4 • Release with Beacon Bugs • Item Catalogue health • Item out of stock (specially on event days) • Best seller item tracking • Top query monitoring • Top item tracking • Category performance
- 5. Processing Engine 5 • Support for Real-time processing. • Support to track the events. • Easy to recover from failure. • Exactly once processing • Backpressure handling • Support for Event based, Time based and Dynamic Window • Highly Available
- 6. Flink vs Spark 6 • Event Processing Model • Data Shuffling Mode • Window Function • Memory management • State Storage • Recovery • Re-utilization and Iterations
- 8. Real Time DQMM Architecture 8
- 9. 100% Data Completeness 9 Event Arrival Time Actual Event Time Clicks 2019-06-01 10:01:00 2019-06-01 10:01:00 3 2019-06-01 10:02:00 2019-06-01 10:02:00 1 2019-06-01 10:04:00 2019-06-01 10:03:00 4 2019-06-01 10:06:00 2019-06-01 10:04:00 5 2019-06-01 10:08:00 2019-06-01 10:04:00 1 Processed Time Event time Window Clicks 2019-06-01 10:05:00 2019-06-01 10:05:00 8 2019-06-01 10:10:00 2019-06-01 10:10:00 6
- 10. 100% Data Completeness 10 • Event Time data processing • Handling the delayed event • Prevent false anomaly detection • Probability based Model for data completeness
- 11. What we deal with? 11 ~4 Billion logs ~8 million records per minutes ~600 GB Records Yarn HA cluster 14 Nodes clusters 1.12 GB memory 112 cores
- 12. Demo Walmart Labs PPT Timesaver – Privileged and Confidential12
- 13. What next 13 • Page Type Onboarding • Category Onboarding • Mobile App Onboarding • Best Seller Onboarding • Improvement on Notification layer
- 14. Open Items 14 • Real time Model training • Handling Seasonality while detecting Anomaly
- 15. Walmart Labs – Privileged and Confidential15