PowerPoint from the Nebraska and Iowa Splunk User Group by Al Liebl.
Collect, process and distribute data to Splunk and other destinations in milliseconds with real-time stream processing.
Continuously collect high-velocity, high-volume data from diverse sources and distribute insights to multiple destinations in milliseconds
Empower your security practitioners with the Elastic StackElasticsearch
How does your organization detect and respond to cyber threats? Learn how the latest security capabilities in the Elastic Stack enable interactive exploration and automated analysis with speed and at scale.
As the number of systems within an IT infrastructure increases, the number of integrations needed by enterprises also multiplies. Recognizing that the old times of overnight file exchanges are no longer meeting real-time demands, a well-organized enterprise integration strategy is a critical success factor when your systems need to be connected all day.
In this webinar with Enno Runne, Tech Lead for Alpakka at Lightbend, Inc., we’ll look at why integrations should be viewed as streams of data, and how Alpakka—a Reactive Enterprise Integration library for Java and Scala based on Reactive Streams and Akka—fits perfectly for today’s demands on system integrations. Specifically, we will review:
How Alpakka brings streaming data flows directly to the surface, utilizing the features of Akka to tame the complexity of streams.
Supported connectors for Amazon Web Services, Microsoft Azure, and Google Cloud, as well as others for event sourcing/persistence/DB technologies and traditional interfaces like FTP, HTTP, etc.
A deeper look into the use cases for Alpakka’s most utilized interfaces to popular technologies like Apache Kafka, MQTT, and MongoDB.
https://info.lightbend.com/webinar-pakk-your-alpakka-reactive-streams-integrations-for-aws-azure-google-cloud-recording.html
Pakk Your Alpakka: Reactive Streams Integrations For AWS, Azure, & Google CloudLightbend
As the number of systems within an IT infrastructure increases, the number of integrations needed by enterprises also multiplies. Recognizing that the old times of overnight file exchanges are no longer meeting real-time demands, a well-organized enterprise integration strategy is a critical success factor when your systems need to be connected all day.
In this webinar with Enno Runne, Tech Lead for Alpakka at Lightbend, Inc., we’ll look at why integrations should be viewed as streams of data, and how Alpakka—a Reactive Enterprise Integration library for Java and Scala based on Reactive Streams and Akka—fits perfectly for today’s demands on system integrations. Specifically, we will review:
* How Alpakka brings streaming data flows directly to the surface, utilizing the features of Akka to tame the complexity of streams.
* Supported connectors for Amazon Web Services, Microsoft Azure, and Google Cloud, as well as others for event sourcing/persistence/DB technologies and traditional interfaces like FTP, HTTP, etc.
* A deeper look into the use cases for Alpakka’s most utilized interfaces to popular technologies like Apache Kafka, MQTT, and MongoDB.
PowerPoint from the Nebraska and Iowa Splunk User Group by Al Liebl.
Collect, process and distribute data to Splunk and other destinations in milliseconds with real-time stream processing.
Continuously collect high-velocity, high-volume data from diverse sources and distribute insights to multiple destinations in milliseconds
Empower your security practitioners with the Elastic StackElasticsearch
How does your organization detect and respond to cyber threats? Learn how the latest security capabilities in the Elastic Stack enable interactive exploration and automated analysis with speed and at scale.
As the number of systems within an IT infrastructure increases, the number of integrations needed by enterprises also multiplies. Recognizing that the old times of overnight file exchanges are no longer meeting real-time demands, a well-organized enterprise integration strategy is a critical success factor when your systems need to be connected all day.
In this webinar with Enno Runne, Tech Lead for Alpakka at Lightbend, Inc., we’ll look at why integrations should be viewed as streams of data, and how Alpakka—a Reactive Enterprise Integration library for Java and Scala based on Reactive Streams and Akka—fits perfectly for today’s demands on system integrations. Specifically, we will review:
How Alpakka brings streaming data flows directly to the surface, utilizing the features of Akka to tame the complexity of streams.
Supported connectors for Amazon Web Services, Microsoft Azure, and Google Cloud, as well as others for event sourcing/persistence/DB technologies and traditional interfaces like FTP, HTTP, etc.
A deeper look into the use cases for Alpakka’s most utilized interfaces to popular technologies like Apache Kafka, MQTT, and MongoDB.
https://info.lightbend.com/webinar-pakk-your-alpakka-reactive-streams-integrations-for-aws-azure-google-cloud-recording.html
Pakk Your Alpakka: Reactive Streams Integrations For AWS, Azure, & Google CloudLightbend
As the number of systems within an IT infrastructure increases, the number of integrations needed by enterprises also multiplies. Recognizing that the old times of overnight file exchanges are no longer meeting real-time demands, a well-organized enterprise integration strategy is a critical success factor when your systems need to be connected all day.
In this webinar with Enno Runne, Tech Lead for Alpakka at Lightbend, Inc., we’ll look at why integrations should be viewed as streams of data, and how Alpakka—a Reactive Enterprise Integration library for Java and Scala based on Reactive Streams and Akka—fits perfectly for today’s demands on system integrations. Specifically, we will review:
* How Alpakka brings streaming data flows directly to the surface, utilizing the features of Akka to tame the complexity of streams.
* Supported connectors for Amazon Web Services, Microsoft Azure, and Google Cloud, as well as others for event sourcing/persistence/DB technologies and traditional interfaces like FTP, HTTP, etc.
* A deeper look into the use cases for Alpakka’s most utilized interfaces to popular technologies like Apache Kafka, MQTT, and MongoDB.
Openstack - An introduction/Installation - Presented at Dr Dobb's conference...Rahul Krishna Upadhyaya
Slide was presented at Dr. Dobb's Conference in Bangalore.
Talks about Openstack Introduction in general
Projects under Openstack.
Contributing to Openstack.
This was presented jointly by CB Ananth and Rahul at Dr. Dobb's Conference Bangalore on 12th Apr 2014.
https://www.reactivesummit.org/2018/schedule/from-overnight-to-always-on
Systems integration is everywhere, not because we want it, but because we need it.
It's the download of exchange rates, the list of yesterday's orders and the latest inventory. Not long time ago, we'd pull this kind of information in overnight batches and every system had something to work on. That was the age where we had printed newspapers.
Today, data needs to be there. Instantaneously. Or 'as fast as possible'. We don't want to transfer huge piles of data once every night but have the updates coming by - just after the change happened. We want streaming data.
In this talk, we exemplify the path to move from overnight file exchanges to streaming data by using Alpakka, which is an integration library based on Reactive Streams and Akka.
Always on.
Slack Bot: upload NUGET package to ArtifactorySergey Dzyuban
What it Jenkins CI automation to upload file to Artifactory failed? And users need some quick and safe mechanism do do upload manually ? Slack Bot will help to archive user experience and will add a bit of automation.
In my talk I will discuss and show examples of using Apache Hadoop, Apache Hive, Apache MXNet, Apache OpenNLP, Apache NiFi and Apache Spark for deep learning applications. This is the follow up to last years Apache Deep Learning 101 that was done at Dataworks Summit and ApacheCon.
As part of my talk I will walk through using Apache NXNet Pre-Built Models, MXNet's New Model Server with Apache NiFi, executing MXNet with Apache NiFi and running Apache MXNet on edge nodes utilizing Python and Apache MiniFi.
This talk is geared towards Data Engineers interested in the basics of Deep Learning with open source Apache tools in a Big Data environment. I will walk through source code examples available in github and run the code live on an Apache Hadoop / YARN / Apache Spark cluster.
This will be an introduction to executing Deep Learning Pipelines in an Apache Big Data environment.
My talk at Data Works Summit Sydney was listed in top 7 -> https://hortonworks.com/blog/7-sessions-dataworks-summit-sydney-see/
Also have speak at and run Future of Data Princeton and at Oracle Code NYC.
https://www.slideshare.net/oom65/hadoop-security-architecture?next_slideshow=1
https://community.hortonworks.com/articles/83100/deep-learning-iot-workflows-with-raspberry-pi-mqtt.html
https://community.hortonworks.com/articles/146704/edge-analytics-with-nvidia-jetson-tx1-running-apac.html
https://dzone.com/refcardz/introduction-to-tensorflow
OpenStack documentation has a series of documents for administrators and API users. All these documents need to be translated. The continuous development of documents brings difficulties to the translation management, but the process can be automated with continuous integration. This slide deck introduces the process and the technologies used in the translation management during OpenStack document internationalization. It also includes a demo for creating a Chinese version of manuals.
(Live) Annotopia Overview by Paolo Ciccarese (Architect and principal developer)Paolo Ciccarese
Annotopia is a Universal Annotation Hub that provides you with back-end technology so that you can focus on the user interface and the knowledge creation process. Annotopia talk at 'I Annotate 2014': https://www.youtube.com/watch?v=UGvUbFv0Zl8
Apache Deep Learning 101 - ApacheCon Montreal 2018 v0.31Timothy Spann
Apache Deep Learning 101 - ApacheCon Montreal 2018 v0.31
An overview for Big Data Engineers on how one could use Apache projects to run deep learning workflows with Apache NiFi, YARN, Spark, Kafka and many other Apache projects.
OpenStack Summit 2015 Tokyo Heat-Translator and TOSCA vbrownbagme_slideshare_2
Charts were used during the technical talk on the latest of Heat-Translator and TOSCA-Parser and how they can be used to deploy TOSCA workloads in OpenStack. The location of talk was OpenStack Summit 2015 Tokyo.
OpenStack Summit 2015 Tokyo Heat-Translator and TOSCA vbrownbagme_slideshare_2
Charts were used during the technical talk on the latest of Heat-Translator and TOSCA-Parser and how they can be used to deploy TOSCA workloads in OpenStack. The location of talk was OpenStack Summit 2015 Tokyo.
Writing Apache Spark and Apache Flink Applications Using Apache BahirLuciano Resende
Big Data is all about being to access and process data in various formats, and from various sources. Apache Bahir provides extensions to distributed analytic platforms providing them access to different data sources. In this talk we will introduce you to Apache Bahir and its various connectors that are available for Apache Spark and Apache Flink. We will also go over the details of how to build, test and deploy an Spark Application using the MQTT data source for the new Apache Spark 2.0 Structure Streaming functionality.
Open stack tokyo summit heat-translator vbrownbagSahdev Zala
Charts were used during the technical talk on the latest of Heat-Translator and TOSCA-Parser and how they can be used to deploy TOSCA workloads in OpenStack. The location of talk was OpenStack Summit 2015 Tokyo.
1. Quick overview about how events role plays in Big Data world via Apache Kafka and Nifi.
2. Discuss Kafka usage for real-time features in apps like Hotstar, Uber.
3. Demo - 1:
a. Setup Apache Kafka in Windows machine.
b. Configure Kafka cluster components - Broker, Producer, Consumer.
c. Understand how Push and Pull messages happen between Topic in a Kafka cluster.
4. Demo - 2: Real-time data pipeline demo,
a. Stream raw data into Apache Kafka.
b. From Kafka, stream the data into Data Integration tool - Nifi for processing.
c. Store the processed data into Azure SQL database.
d. Visualize and get insights about processed data in Bold BI.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Openstack - An introduction/Installation - Presented at Dr Dobb's conference...Rahul Krishna Upadhyaya
Slide was presented at Dr. Dobb's Conference in Bangalore.
Talks about Openstack Introduction in general
Projects under Openstack.
Contributing to Openstack.
This was presented jointly by CB Ananth and Rahul at Dr. Dobb's Conference Bangalore on 12th Apr 2014.
https://www.reactivesummit.org/2018/schedule/from-overnight-to-always-on
Systems integration is everywhere, not because we want it, but because we need it.
It's the download of exchange rates, the list of yesterday's orders and the latest inventory. Not long time ago, we'd pull this kind of information in overnight batches and every system had something to work on. That was the age where we had printed newspapers.
Today, data needs to be there. Instantaneously. Or 'as fast as possible'. We don't want to transfer huge piles of data once every night but have the updates coming by - just after the change happened. We want streaming data.
In this talk, we exemplify the path to move from overnight file exchanges to streaming data by using Alpakka, which is an integration library based on Reactive Streams and Akka.
Always on.
Slack Bot: upload NUGET package to ArtifactorySergey Dzyuban
What it Jenkins CI automation to upload file to Artifactory failed? And users need some quick and safe mechanism do do upload manually ? Slack Bot will help to archive user experience and will add a bit of automation.
In my talk I will discuss and show examples of using Apache Hadoop, Apache Hive, Apache MXNet, Apache OpenNLP, Apache NiFi and Apache Spark for deep learning applications. This is the follow up to last years Apache Deep Learning 101 that was done at Dataworks Summit and ApacheCon.
As part of my talk I will walk through using Apache NXNet Pre-Built Models, MXNet's New Model Server with Apache NiFi, executing MXNet with Apache NiFi and running Apache MXNet on edge nodes utilizing Python and Apache MiniFi.
This talk is geared towards Data Engineers interested in the basics of Deep Learning with open source Apache tools in a Big Data environment. I will walk through source code examples available in github and run the code live on an Apache Hadoop / YARN / Apache Spark cluster.
This will be an introduction to executing Deep Learning Pipelines in an Apache Big Data environment.
My talk at Data Works Summit Sydney was listed in top 7 -> https://hortonworks.com/blog/7-sessions-dataworks-summit-sydney-see/
Also have speak at and run Future of Data Princeton and at Oracle Code NYC.
https://www.slideshare.net/oom65/hadoop-security-architecture?next_slideshow=1
https://community.hortonworks.com/articles/83100/deep-learning-iot-workflows-with-raspberry-pi-mqtt.html
https://community.hortonworks.com/articles/146704/edge-analytics-with-nvidia-jetson-tx1-running-apac.html
https://dzone.com/refcardz/introduction-to-tensorflow
OpenStack documentation has a series of documents for administrators and API users. All these documents need to be translated. The continuous development of documents brings difficulties to the translation management, but the process can be automated with continuous integration. This slide deck introduces the process and the technologies used in the translation management during OpenStack document internationalization. It also includes a demo for creating a Chinese version of manuals.
(Live) Annotopia Overview by Paolo Ciccarese (Architect and principal developer)Paolo Ciccarese
Annotopia is a Universal Annotation Hub that provides you with back-end technology so that you can focus on the user interface and the knowledge creation process. Annotopia talk at 'I Annotate 2014': https://www.youtube.com/watch?v=UGvUbFv0Zl8
Apache Deep Learning 101 - ApacheCon Montreal 2018 v0.31Timothy Spann
Apache Deep Learning 101 - ApacheCon Montreal 2018 v0.31
An overview for Big Data Engineers on how one could use Apache projects to run deep learning workflows with Apache NiFi, YARN, Spark, Kafka and many other Apache projects.
OpenStack Summit 2015 Tokyo Heat-Translator and TOSCA vbrownbagme_slideshare_2
Charts were used during the technical talk on the latest of Heat-Translator and TOSCA-Parser and how they can be used to deploy TOSCA workloads in OpenStack. The location of talk was OpenStack Summit 2015 Tokyo.
OpenStack Summit 2015 Tokyo Heat-Translator and TOSCA vbrownbagme_slideshare_2
Charts were used during the technical talk on the latest of Heat-Translator and TOSCA-Parser and how they can be used to deploy TOSCA workloads in OpenStack. The location of talk was OpenStack Summit 2015 Tokyo.
Writing Apache Spark and Apache Flink Applications Using Apache BahirLuciano Resende
Big Data is all about being to access and process data in various formats, and from various sources. Apache Bahir provides extensions to distributed analytic platforms providing them access to different data sources. In this talk we will introduce you to Apache Bahir and its various connectors that are available for Apache Spark and Apache Flink. We will also go over the details of how to build, test and deploy an Spark Application using the MQTT data source for the new Apache Spark 2.0 Structure Streaming functionality.
Open stack tokyo summit heat-translator vbrownbagSahdev Zala
Charts were used during the technical talk on the latest of Heat-Translator and TOSCA-Parser and how they can be used to deploy TOSCA workloads in OpenStack. The location of talk was OpenStack Summit 2015 Tokyo.
1. Quick overview about how events role plays in Big Data world via Apache Kafka and Nifi.
2. Discuss Kafka usage for real-time features in apps like Hotstar, Uber.
3. Demo - 1:
a. Setup Apache Kafka in Windows machine.
b. Configure Kafka cluster components - Broker, Producer, Consumer.
c. Understand how Push and Pull messages happen between Topic in a Kafka cluster.
4. Demo - 2: Real-time data pipeline demo,
a. Stream raw data into Apache Kafka.
b. From Kafka, stream the data into Data Integration tool - Nifi for processing.
c. Store the processed data into Azure SQL database.
d. Visualize and get insights about processed data in Bold BI.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2024.06.01 Introducing a competency framework for languag learning materials ...
Test.pdf
1. Apache Tika - Apache Tika http://incubator.apache.org/tika/
1 of 1 15.9.2007 11:02
Tika - Content Analysis Toolkit
Apache Tika is a toolkit for detecting and extracting metadata and structured text content
from various documents using existing parser libraries.
Apache Tika is an effort undergoing incubation at The Apache Software Foundation (ASF),
sponsored by the Apache Lucene PMC. Incubation is required of all newly accepted projects
until a further review indicates that the infrastructure, communications, and decision making
process have stabilized in a manner consistent with other successful ASF projects. While
incubation status is not necessarily a reflection of the completeness or stability of the code, it
does indicate that the project has yet to be fully endorsed by the ASF.
See the Apache Tika Incubation Status page for the current incubation status.
Latest News
March 22nd, 2007: Apache Tika project started
The Apache Tika project was formally started when the Tika proposal was accepted by the Apache
Incubator PMC.
