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Osacon 2021 hello hydrate! from stream to clickhouse with apache pulsar and...
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Since April 2016, Spark-as-a-service has been available to researchers in Sweden from the Swedish ICT SICS Data Center at www.hops.site. Researchers work in an entirely UI-driven environment on a platform built with only open-source software. Spark applications can be either deployed as jobs (batch or streaming) or written and run directly from Apache Zeppelin. Spark applications are run within a project on a YARN cluster with the novel property that Spark applications are metered and charged to projects. Projects are also securely isolated from each other and include support for project-specific Kafka topics. That is, Kafka topics are protected from access by users that are not members of the project. In this talk we will discuss the challenges in building multi-tenant Spark streaming applications on YARN that are metered and easy-to-debug. We show how we use the ELK stack (Elasticsearch, Logstash, and Kibana) for logging and debugging running Spark streaming applications, how we use Graphana and Graphite for monitoring Spark streaming applications, and how users can debug and optimize terminated Spark Streaming jobs using Dr Elephant. We will also discuss the experiences of our users (over 120 users as of Sept 2016): how they manage their Kafka topics and quotas, patterns for how users share topics between projects, and our novel solutions for helping researchers debug and optimize Spark applications. To conclude, we will also give an overview on our course ID2223 on Large Scale Learning and Deep Learning, in which 60 students designed and ran SparkML applications on the platform.
Spark summit-east-dowling-feb2017-full
Spark summit-east-dowling-feb2017-full
Jim Dowling
Kafka is the basis for Modern Data Integration infrastructure and KafkaConnect makes it much better
Kafka connect-london-meetup-2016
Kafka connect-london-meetup-2016
Gwen (Chen) Shapira
PortoTechHub - Hail Hydrate! From Stream to Lake with Apache Pulsar and Friends https://portotechhub.com/conference-2021/ Timothy Spann Developer Advocate StreamNative A cloud data lake that is empty is not useful to anyone. How can you quickly, scalably and reliably fill your cloud data lake with diverse sources of data you already have and new ones you never imagined you needed. Utilizing open source tools from Apache, the FLiP stack enables any data engineer, programmer or analyst to build reusable modules with low or no code. FLiP utilizes Apache NiFi, Apache Pulsar, Apache Flink and MiNiFi agents to load CDC, Logs, REST, XML, Images, PDFs, Documents, Text, semistructured data, unstructured data, structured data and a hundred data sources you could never dream of streaming before. I will teach you how to fish in the deep end of the lake and return a data engineering hero. Let's hope everyone is ready to go from 0 to Petabyte hero. TRACK RIBEIRA Fri 07:00 — 50 min 19-Nov-2021
PortoTechHub - Hail Hydrate! From Stream to Lake with Apache Pulsar and Friends
PortoTechHub - Hail Hydrate! From Stream to Lake with Apache Pulsar and Friends
Timothy Spann
Spark optimization techniques
Spark optimization
Spark optimization
Ankit Beohar
Suppose you want to know analytics on your Pulsar topics, or you want to debug those hard corner cases that fail to be sent, or even you want to monitor your Pulsar deployment: how do you do it? A tool exists to do this and more: Pulsar SQL. Since the 2.2.0 release, Pulsar SQL provides an abstraction layer to run any SQL query we may want against Pulsar effortlessly and without affecting performance. There is nothing like it on the pub-sub ecosystem. In this short session, we will revisit what Pulsar SQL is, how to make the best out of it, how to deploy it, and how to use it!
Interactive Analytics on Pulsar with Pulsar SQL - Pulsar Virtual Summit Europ...
Interactive Analytics on Pulsar with Pulsar SQL - Pulsar Virtual Summit Europ...
StreamNative
After a quick overview and introduction of Apache Kafka, this session cover two components which extend the core of Apache Kafka: Kafka Connect and Kafka Streams/KSQL. Kafka Connects role is to access data from the out-side-world and make it available inside Kafka by publishing it into a Kafka topic. On the other hand, Kafka Connect is also responsible to transport information from inside Kafka to the outside world, which could be a database or a file system. There are many existing connectors for different source and target systems available out-of-the-box, either provided by the community or by Confluent or other vendors. You simply configure these connectors and off you go. Kafka Streams is a light-weight component which extends Kafka with stream processing functionality. By that, Kafka can now not only reliably and scalable transport events and messages through the Kafka broker but also analyse and process these event in real-time. Interestingly Kafka Streams does not provide its own cluster infrastructure and it is also not meant to run on a Kafka cluster. The idea is to run Kafka Streams where it makes sense, which can be inside a “normal” Java application, inside a Web container or on a more modern containerized (cloud) infrastructure, such as Mesos, Kubernetes or Docker. Kafka Streams has a lot of interesting features, such as reliable state handling, queryable state and much more. KSQL is a streaming engine for Apache Kafka, providing a simple and completely interactive SQL interface for processing data in Kafka.
Kafka Connect & Streams - the ecosystem around Kafka
Kafka Connect & Streams - the ecosystem around Kafka
Guido Schmutz
FLiP Into Trino FLiP into Trino. Flink Pulsar Trino Pulsar SQL (Trino/Presto) Remember the days when you could wait until your batch data load was done and then you could run some simple queries or build stale dashboards? Those days are over, today you need instant analytics as the data is streaming in real-time. You need universal analytics where that data is. I will show you how to do this utilizing the latest cloud native open source tools. In this talk we will utilize Trino, Apache Pulsar, Pulsar SQL and Apache Flink to analyze instantly data from IoT, sensors, transportation systems, Logs, REST endpoints, XML, Images, PDFs, Documents, Text, semistructured data, unstructured data, structured data and a hundred data sources you could never dream of streaming before. I will teach how to use Pulsar SQL to run analytics on live data. Tim Spann Developer Advocate StreamNative David Kjerrumgaard Developer Advocate StreamNative https://www.starburst.io/info/trinosummit/ https://github.com/tspannhw/FLiP-Into-Trino/blob/main/README.md https://github.com/tspannhw/StreamingAnalyticsUsingFlinkSQL/tree/main/src/main/java select * from pulsar."public/default"."weather"; Apache Pulsar plus Trio = fast analytics at scale
FLiP Into Trino
FLiP Into Trino
Timothy Spann
Using Apache Spark with IBM SPSS Modeler with Dr. Steve Poulin. An introduction to Apache Spark and its relevant integration with IBM SPSS Modeler. Why integrate? What type of benefits? A review the integration process high level and advise which enhanced features to pay attention to, and common pitfalls to avoid.
Using Apache Spark with IBM SPSS Modeler
Using Apache Spark with IBM SPSS Modeler
Global Knowledge Training
It was talked on QCon Tokyo 2013.
fluentd -- the missing log collector
fluentd -- the missing log collector
Muga Nishizawa
Automation + dev ops summit hail hydrate! from stream to lake 2021 Apache Pulsar, APache NiFi, Apache Flink StreamNative https://sessionize.com/app/speaker/session/265189 Tim Spann, Developer Advocate
Automation + dev ops summit hail hydrate! from stream to lake
Automation + dev ops summit hail hydrate! from stream to lake
Timothy Spann
https://www.meetup.com/new-york-city-apache-pulsar-meetup/events/283837865/ Learn how to use Apache Pulsar and Apache NiFi to Stream to your Data Lake Discover how to stream data to and from your data lake or data mart using Apache Pulsar™ and Apache NiFi®. Learn how these cloud-native, scalable open-source projects built for streaming data pipelines work together to enable you to quickly build applications with minimal coding. |WHAT THE SESSION WILL COVER| Best Practices for using Pulsar and NiFi A deep dive on Apache NiFi's Pulsar connector and demos Building an End-to-End Application in the Hybrid Cloud Attend for a chance to win a We <3 Pulsar t-shirt! The first 50 registrants who register through here [https://hubs.ly/Q013LTpn0] will be entered in a drawing! —------------------------ |AGENDA| 6:00 - 7:00 PM EST: Presentation - Tim Spann, StreamNative Developer Advocate 7:00 - 8:00 PM EST: Presentation - John Kuchmek, Cloudera Principal Solutions Engineer 8:00 - 8:30 PM EST: Q&A + Networking —------------------------ |ABOUT THE SPEAKERS| John Kuchmek is a Principal Solutions Engineer for Cloudera. Before joining Cloudera, John transitioned to the Autonomous Intelligence team where he was in charge of integrating the platforms to allow data scientists to work with various types of data. Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar™, Apache Flink®, Flink® SQL, Big Data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, messaging, streaming technologies, and Java programming. Previously, he was a Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Engineer at Hortonworks, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on Big Data, Cloud, IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as ApacheCon, DeveloperWeek, Pulsar Summit and many more. He holds a BS and MS in computer science. He is currently working on a book about the FLiP Stack.
[March sn meetup] apache pulsar + apache nifi for cloud data lake
[March sn meetup] apache pulsar + apache nifi for cloud data lake
Timothy Spann
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Using FLiP with influxdb for edgeai iot at scale 2022
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Using the FLiPN stack for edge ai (flink, nifi, pulsar)
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Osacon 2021 hello hydrate! from stream to clickhouse with apache pulsar and...
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Spark summit-east-dowling-feb2017-full
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PortoTechHub - Hail Hydrate! From Stream to Lake with Apache Pulsar and Friends
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Interactive Analytics on Pulsar with Pulsar SQL - Pulsar Virtual Summit Europ...
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Kafka Connect & Streams - the ecosystem around Kafka
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fluentd -- the missing log collector
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Automation + dev ops summit hail hydrate! from stream to lake
Automation + dev ops summit hail hydrate! from stream to lake
[March sn meetup] apache pulsar + apache nifi for cloud data lake
[March sn meetup] apache pulsar + apache nifi for cloud data lake
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Videoguy
This presentation will look at the current limitations of campus networks. It will outline the possible building blocks required to modernise the campus network infrastructure, and support new deployment methods and management paradigms, enabling customers to implement and benefit from the same automation and scale that data centres and cloud based environments utilise today.
The simplification of the campus network Juniper - Networkshop44
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Jisc
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EQR Reporting: Rails + Amazon EC2
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jeperkins4
GLOBECOM 2012 Video streaming traffic of both VoD (Video on Demand) and Live is exploding. Various types of businesses and many people are relying on video streaming to attract customers/users and for other purposes. Given the vast number of video stream formats (e.g., MP4, FLV) and transmission protocols (e.g., HTTP, RTMP, RTSP) for supporting varying types of playback terminals (particularly mobile devices such as iphone/ipad and Android phones), video content providers often need to transcode videos to multiple formats in order to stream to different types of users. Being time-sensitive and requiring high bandwidth, video streaming exerts high pressure on underlying delivery networks. Content Delivery Network (CDN) providers can help their customers quickly and reliably distribute stream contents to end users. In addition to distributing video streams, CDN providers typically allow their customers to perform video transcoding on CDN platforms. With the high volume of video streams and the bursty transcoding workload, CDN providers are eager to deploy elastic and optimized cloud-based transcoding platforms.
Building Cloud-ready Video Transcoding System for Content Delivery Networks (...
Building Cloud-ready Video Transcoding System for Content Delivery Networks (...
Zhenyun Zhuang
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Partner spotlight: Empress
Partner spotlight: Empress
FileCatalyst
Dev@Pulse 2014 Lightning Talk. Focused on how to use the IBM Cloud and NetflixOSS for high availability/automatic recovery, elastic and web scale, and high velocity continuous delivery. The talk also includes a live demo of chaos testing (Chaos Gorilla specifically) where the application was shown to have enough high availability to survive an entire datacenter / availability zone outage.
Going Cloud Native with IBM Cloud and NetflixOSS for Dev@Pulse
Going Cloud Native with IBM Cloud and NetflixOSS for Dev@Pulse
aspyker
Cloud computing architecture
Cloud computing architecture
Cloud computing architecture
V.V.Vanniapermal College for Women
Sommarkollo 2013 Lync server 2013 design worksop
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Sommarkollo 2013 lync workshop
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Encoding Video for Microsoft Silverlight
Encoding Video for Microsoft Silverlight
goodfriday
Track 2, session 4, data protection and disaster recovery with riverbed
Track 2, session 4, data protection and disaster recovery with riverbed
EMC Forum India
CtrlS: Cloud Solutions for Retail & eCommerce
CtrlS: Cloud Solutions for Retail & eCommerce
eTailing India
Data Center Transformation Virtualization By CISCO
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20th March Session Three by Prosenjit Bhattacharjee
Sharath Kumar
2009 Web 2.0 Happy Hour Presentation sponsored by Neustar and Rackspace discussing DNS-based traffic management solutions
Traffic Management in the Cloud - Web2.0
Traffic Management in the Cloud - Web2.0
jamwill1972
Silver Peak presentation used during the SWITCHPOINT NV/SA Quarterly Experience Day on 7th June 2016.
Silver Peak presentation used during the SWITCHPOINT NV/SA Quarterly Experien...
Silver Peak presentation used during the SWITCHPOINT NV/SA Quarterly Experien...
SWITCHPOINT NV/SA
This is the presentation given at Cloud Expo Europe 2013 with Databarracks
Databarracks & SolidFire - How to run tier 1 applications in the cloud
Databarracks & SolidFire - How to run tier 1 applications in the cloud
NetApp
Fernando Loureiro Presentation / CloudViews.Org - Cloud Computing Conference ...
Fernando Loureiro Presentation / CloudViews.Org - Cloud Computing Conference ...
EuroCloud
Video available here: http://www.citrix.com/tv/#videos/12787 Join technology experts Lee Bushen and Patrick Irwin as they discuss and demonstrate a step-by-step move from XenApp 6.5 to XenApp 7.6. With this live demo, we’ll take a user-centric approach and transition across to a new XenApp 7.6 environment with minimal disruption and retraining. We’ll be showing best-practice methods such as consolidating your old and new system with StoreFront, testing for application compatibility with AppDNA and upgrading a server live into the new XenDesktop 7.6 system.
Citrix Master Class - Live Upgrade from XenApp 6.5 to 7.6
Citrix Master Class - Live Upgrade from XenApp 6.5 to 7.6
Lee Bushen
The enterprise WAN is adapting to address the pervasive availability of broadband Internet, the shift of applications to the cloud and the increasing demands for real-time, online and critical applications in the branch office. At the same time enterprises have made significant investments in their existing WAN architecture infrastructure network equipment and WAN services. Many enterprises are evaluating an SD-WAN solution as a way to address the changing enterprise landscape without decommissioning their existing WAN any time soon. This webinar guides you through various flexible architectures and transition steps for SD-WAN that target maximum return while minimizing disruption and risk. Examples of how a cloud-delivered SD-WAN enables flexible transition and deployment in both hybrid and Internet only branches will be shared.
SD-WAN for Public & Private Clouds - VeloCloud
SD-WAN for Public & Private Clouds - VeloCloud
VeloCloud Networks, Inc.
Unified Communication System made easy
AcuLearn Solution
AcuLearn Solution
tancheeken
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gla-video-Streaming-..
gla-video-Streaming-..
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The simplification of the campus network Juniper - Networkshop44
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EQR Reporting: Rails + Amazon EC2
EQR Reporting: Rails + Amazon EC2
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Building Cloud-ready Video Transcoding System for Content Delivery Networks (...
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Partner spotlight: Empress
Going Cloud Native with IBM Cloud and NetflixOSS for Dev@Pulse
Going Cloud Native with IBM Cloud and NetflixOSS for Dev@Pulse
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Sommarkollo 2013 lync workshop
Sommarkollo 2013 lync workshop
Encoding Video for Microsoft Silverlight
Encoding Video for Microsoft Silverlight
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Track 2, session 4, data protection and disaster recovery with riverbed
CtrlS: Cloud Solutions for Retail & eCommerce
CtrlS: Cloud Solutions for Retail & eCommerce
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20th March Session Three by Prosenjit Bhattacharjee
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Traffic Management in the Cloud - Web2.0
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Silver Peak presentation used during the SWITCHPOINT NV/SA Quarterly Experien...
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Databarracks & SolidFire - How to run tier 1 applications in the cloud
Fernando Loureiro Presentation / CloudViews.Org - Cloud Computing Conference ...
Fernando Loureiro Presentation / CloudViews.Org - Cloud Computing Conference ...
Citrix Master Class - Live Upgrade from XenApp 6.5 to 7.6
Citrix Master Class - Live Upgrade from XenApp 6.5 to 7.6
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The pricing and discounting feature is very essential for Odoo POS. Global discount is actually a discount that will apply to the entire order. And it indicates that the discount is applied to every item in the order, regardless of how much each item costs separately. This slide will show how to manage global discounts in odoo 17 POS.
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Streaming from the cloud
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