The document discusses the results of a study on the impact of climate change on global wheat production. Researchers found that rising temperatures will significantly reduce wheat yields across different regions of the world by the end of the century. Under a high emissions scenario, the study projects a global average decrease in wheat production of 6% by 2050, and a 17% decrease by 2100, threatening global food security.
Las estrellas del universo son realmente fantasticas al mirar, nos deleitamos con este tipo de maravillas que suceden en el universo, por eso es tan importante informarnos sobre ellas.
Monitoring Apache Kafka with Confluent Control Center confluent
Presentation by Nick Dearden, Direct, Product and Engineering, Confluent
It’s 3 am. Do you know how your Kafka cluster is doing?
With over 150 metrics to think about, operating a Kafka cluster can be daunting, particularly as a deployment grows. Confluent Control Center is the only complete monitoring and administration product for Apache Kafka and is designed specifically for making the Kafka operators life easier.
Join Confluent as we cover how Control Center is used to simplify deployment, operability, and ensure message delivery.
Watch the recording: https://www.confluent.io/online-talk/monitoring-and-alerting-apache-kafka-with-confluent-control-center/
Lessons learned while taking Presto from alpha to production at Twitter. Presented at the Presto meetup at Facebook on 2015.03.22.
Video: https://www.facebook.com/prestodb/videos/531276353732033/
Las estrellas del universo son realmente fantasticas al mirar, nos deleitamos con este tipo de maravillas que suceden en el universo, por eso es tan importante informarnos sobre ellas.
Monitoring Apache Kafka with Confluent Control Center confluent
Presentation by Nick Dearden, Direct, Product and Engineering, Confluent
It’s 3 am. Do you know how your Kafka cluster is doing?
With over 150 metrics to think about, operating a Kafka cluster can be daunting, particularly as a deployment grows. Confluent Control Center is the only complete monitoring and administration product for Apache Kafka and is designed specifically for making the Kafka operators life easier.
Join Confluent as we cover how Control Center is used to simplify deployment, operability, and ensure message delivery.
Watch the recording: https://www.confluent.io/online-talk/monitoring-and-alerting-apache-kafka-with-confluent-control-center/
Lessons learned while taking Presto from alpha to production at Twitter. Presented at the Presto meetup at Facebook on 2015.03.22.
Video: https://www.facebook.com/prestodb/videos/531276353732033/
Slides from a Heron tech talk by Karthik Ramasamy, Maosong Fu and Bill Graham at the Hive in August 2016. The presentation includes an overview of the Heron architecture, how Heron is used at Twitter and how to install Heron and run an example topology.
A video of the talk can be found at https://www.youtube.com/watch?v=FRvmeoJCZKU.
Best Digital Marketing Companies-Services in Pune | 3DOT TechnologiesShrikant Ingle
3DOT Technologies is one of the Leading brand in Digital Marketing Services in Pune, It provides budgeted
packages for Digital Marketing like SEO, SMO and SEM
Stephan Ewen - Stream Processing as a Foundational Paradigm and Apache Flink'...Ververica
Stream Processing is emerging as a popular paradigm for data processing architectures, because it handles the continuous nature of most data and computation and gets rid of artificial boundaries and delays.
The fact that stream processing is gaining rapid adoption is also due to more powerful and maturing technology (much of it open source at the ASF) that has solved many of the hard technical challenges.
We discuss Apache Flink's approach to high performance stream processing with state, strong consistency, low latency, and sophisticated handling of time. With such building blocks, Apache Flink can handle classes of problems previously considered out of reach for stream processing. We also take a sneak preview at the next steps for Flink.
Stream Analytics with SQL on Apache FlinkFabian Hueske
This presentation describes the semantics of Flink's relational APIs (SQL & Table API) on data streams. The core concept are "Dynamic Tables" which can be queried with regular SQL queries and are constantly and automatically updated.
Getting started with Azure Event Hubs and Stream Analytics servicesVladimir Bychkov
The total amount of data in the world almost doubles every 2 years. Storing data for offline processing is no longer a viable business model. In the past few years, new technologies for real-time data processing emerged. Microsoft Azure offers a comprehensive set of tools to ingest and process data in motion. In this presentation we will go over and learn how to collect data from devices, how to process data in real time using Azure Stream Analytic jobs, and how to produce and handle actionable insights.
Landoop presenting how to simplify your ETL process using Kafka Connect for (E) and (L). Introducing KCQL - the Kafka Connect Query Language & how it can simplify fast-data (ingress & egress) pipelines. How KCQL can be used to set up Kafka Connectors for popular in-memory and analytical systems and live demos with HazelCast, Redis and InfluxDB. How to get started with a fast-data docker kafka development environment. Enhance your existing Cloudera (Hadoop) clusters with fast-data capabilities.
Querying your database in natural language by Daniel Moisset PyData SV 2014PyData
Most end users can't write a database query, and yet, they often have the need to access information that keyword-based searches can't retrieve precisely. Lately, there's been an explosion of proprietary Natural Language Interfaces to knowledge databases, like Siri, Google Now and Wolfram Alpha. On the open side, huge knowledge bases like DBpedia and Freebase exists, but access to them is typically limited to using formal database query languages. We implemented Quepy as an approach to provide a solution for this problem. Quepy is an open source framework to transform Natural Language questions into semantic database queries that can be used with popular knowledge databases like, for example, DBPedia and Freebase. So instead of requiring end users to learn to write some query language, a Quepy Application can fills the gap, allowing end users to make their queries in "plain English". In this talk we would discuss the techniques used in Quepy, what additional work can be done, and its limitations.
Strata+Hadoop 2017 San Jose: Lessons from a year of supporting Apache Kafkaconfluent
The number of deployments of Apache Kafka at enterprise scale has greatly increased in the years since Kafka’s original development in 2010. Along with this rapid growth has come a wide variety of use cases and deployment strategies that transcend what Kafka’s creators imagined when they originally developed the technology. As the scope and reach of streaming data platforms based on Apache Kafka has grown, the need to understand monitoring and troubleshooting strategies has as well.
Dustin Cote and Ryan Pridgeon share their experience supporting Apache Kafka at enterprise-scale and explore monitoring and troubleshooting techniques to help you avoid pitfalls when scaling large-scale Kafka deployments.
Topics include:
- Effective use of JMX for Kafka
- Tools for preventing small problems from becoming big ones
- Efficient architectures proven in the wild
- Finding and storing the right information when it all goes wrong
Visit www.confluent.io for more information.
Apache Kafka is a distributed streaming platform that forms a key part of the infrastructure at many companies including Uber, Netflix and LinkedIn. In this talk, Matt gave a technical overview of Apache Kafka, discussed practical use cases of Kafka for IoT data and demonstrated how to ingest data from an MQTT server using Kafka Connect.
Scalability, fault tolerance, distributed log…these are terms which we hear more and more these days. Make them happen is quite a challenge sometimes especially if our business need to be data intensive, agile and fast to market.
One way to answer to this challenge is microservices. These are small services that communicate to each other to deliver business value. The key word here is _communication_. Without communication all the power of microservices falls apart. And communication is not a trivial fact when involves systems with multiple data systems that are talking to one another over many channels. Each of the channel requiring their own protocol and communication methods. This is where communication can become a bottleneck if not handled properly.
One answer to this problem is Kafka, a distributed messaging system providing fast, highly scalable and redundant message exchange using a publish-subscribe model. And when we talk about fast we talk about one of the fastest messaging systems out there.
This presentation will show you an alternative way of doing microservices with event-driven architecture through Kafka.
Presenters:
Laszlo-Robert Albert (albertlaszlorobert [at] gmail [dot] com)
Dan Balescu (dfbalescu [at] gmail [dot] com)
Explore IoT in Big Data while brewing beer. All verticals are instrumenting devices to learn more about their process to help cut costs or improve efficiency.
Slides from a Heron tech talk by Karthik Ramasamy, Maosong Fu and Bill Graham at the Hive in August 2016. The presentation includes an overview of the Heron architecture, how Heron is used at Twitter and how to install Heron and run an example topology.
A video of the talk can be found at https://www.youtube.com/watch?v=FRvmeoJCZKU.
Best Digital Marketing Companies-Services in Pune | 3DOT TechnologiesShrikant Ingle
3DOT Technologies is one of the Leading brand in Digital Marketing Services in Pune, It provides budgeted
packages for Digital Marketing like SEO, SMO and SEM
Stephan Ewen - Stream Processing as a Foundational Paradigm and Apache Flink'...Ververica
Stream Processing is emerging as a popular paradigm for data processing architectures, because it handles the continuous nature of most data and computation and gets rid of artificial boundaries and delays.
The fact that stream processing is gaining rapid adoption is also due to more powerful and maturing technology (much of it open source at the ASF) that has solved many of the hard technical challenges.
We discuss Apache Flink's approach to high performance stream processing with state, strong consistency, low latency, and sophisticated handling of time. With such building blocks, Apache Flink can handle classes of problems previously considered out of reach for stream processing. We also take a sneak preview at the next steps for Flink.
Stream Analytics with SQL on Apache FlinkFabian Hueske
This presentation describes the semantics of Flink's relational APIs (SQL & Table API) on data streams. The core concept are "Dynamic Tables" which can be queried with regular SQL queries and are constantly and automatically updated.
Getting started with Azure Event Hubs and Stream Analytics servicesVladimir Bychkov
The total amount of data in the world almost doubles every 2 years. Storing data for offline processing is no longer a viable business model. In the past few years, new technologies for real-time data processing emerged. Microsoft Azure offers a comprehensive set of tools to ingest and process data in motion. In this presentation we will go over and learn how to collect data from devices, how to process data in real time using Azure Stream Analytic jobs, and how to produce and handle actionable insights.
Landoop presenting how to simplify your ETL process using Kafka Connect for (E) and (L). Introducing KCQL - the Kafka Connect Query Language & how it can simplify fast-data (ingress & egress) pipelines. How KCQL can be used to set up Kafka Connectors for popular in-memory and analytical systems and live demos with HazelCast, Redis and InfluxDB. How to get started with a fast-data docker kafka development environment. Enhance your existing Cloudera (Hadoop) clusters with fast-data capabilities.
Querying your database in natural language by Daniel Moisset PyData SV 2014PyData
Most end users can't write a database query, and yet, they often have the need to access information that keyword-based searches can't retrieve precisely. Lately, there's been an explosion of proprietary Natural Language Interfaces to knowledge databases, like Siri, Google Now and Wolfram Alpha. On the open side, huge knowledge bases like DBpedia and Freebase exists, but access to them is typically limited to using formal database query languages. We implemented Quepy as an approach to provide a solution for this problem. Quepy is an open source framework to transform Natural Language questions into semantic database queries that can be used with popular knowledge databases like, for example, DBPedia and Freebase. So instead of requiring end users to learn to write some query language, a Quepy Application can fills the gap, allowing end users to make their queries in "plain English". In this talk we would discuss the techniques used in Quepy, what additional work can be done, and its limitations.
Strata+Hadoop 2017 San Jose: Lessons from a year of supporting Apache Kafkaconfluent
The number of deployments of Apache Kafka at enterprise scale has greatly increased in the years since Kafka’s original development in 2010. Along with this rapid growth has come a wide variety of use cases and deployment strategies that transcend what Kafka’s creators imagined when they originally developed the technology. As the scope and reach of streaming data platforms based on Apache Kafka has grown, the need to understand monitoring and troubleshooting strategies has as well.
Dustin Cote and Ryan Pridgeon share their experience supporting Apache Kafka at enterprise-scale and explore monitoring and troubleshooting techniques to help you avoid pitfalls when scaling large-scale Kafka deployments.
Topics include:
- Effective use of JMX for Kafka
- Tools for preventing small problems from becoming big ones
- Efficient architectures proven in the wild
- Finding and storing the right information when it all goes wrong
Visit www.confluent.io for more information.
Apache Kafka is a distributed streaming platform that forms a key part of the infrastructure at many companies including Uber, Netflix and LinkedIn. In this talk, Matt gave a technical overview of Apache Kafka, discussed practical use cases of Kafka for IoT data and demonstrated how to ingest data from an MQTT server using Kafka Connect.
Scalability, fault tolerance, distributed log…these are terms which we hear more and more these days. Make them happen is quite a challenge sometimes especially if our business need to be data intensive, agile and fast to market.
One way to answer to this challenge is microservices. These are small services that communicate to each other to deliver business value. The key word here is _communication_. Without communication all the power of microservices falls apart. And communication is not a trivial fact when involves systems with multiple data systems that are talking to one another over many channels. Each of the channel requiring their own protocol and communication methods. This is where communication can become a bottleneck if not handled properly.
One answer to this problem is Kafka, a distributed messaging system providing fast, highly scalable and redundant message exchange using a publish-subscribe model. And when we talk about fast we talk about one of the fastest messaging systems out there.
This presentation will show you an alternative way of doing microservices with event-driven architecture through Kafka.
Presenters:
Laszlo-Robert Albert (albertlaszlorobert [at] gmail [dot] com)
Dan Balescu (dfbalescu [at] gmail [dot] com)
Explore IoT in Big Data while brewing beer. All verticals are instrumenting devices to learn more about their process to help cut costs or improve efficiency.
Welcome to the Program Your Destiny course. In this course, we will be learning the technology of personal transformation, neuroassociative conditioning (NAC) as pioneered by Tony Robbins. NAC is used to deprogram negative neuroassociations that are causing approach avoidance and instead reprogram yourself with positive neuroassociations that lead to being approach automatic. In doing so, you change your destiny, moving towards unlocking the hypersocial self within, the true self free from fear and operating from a place of personal power and love.
https://bit.ly/BabeSideDoll4u Babeside is a company that specializes in creating handcrafted reborn dolls. These dolls are designed to be incredibly lifelike, with realistic skin tones and hair, and they have become increasingly popular among collectors and those who use them for therapeutic purposes. At Babeside, we believe that our reborn dolls can provide comfort and healing to anyone who needs it.
The Healing Power of Babeside's Handcrafted Creations
Our reborn dolls are more than just beautiful pieces of art - they can also help alleviate stress, anxiety, depression, and other mental health conditions. Studies have shown that holding or cuddling a soft object like a stuffed animal or a reborn doll can release oxytocin, which is often referred to as the "love hormone." This hormone helps us feel calm and relaxed, reducing feelings of stress and anxiety.
In addition to their physical benefits, reborn dolls can also offer emotional support. For many people, having something to care for and nurture can bring a sense of purpose and fulfillment. Reborn dolls can also serve as a reminder of happy memories or loved ones who have passed away.
