- published: 13 Jan 2016
- views: 15634
Apache Flink is a community-driven open source framework for distributed big data analytics, like Hadoop and Spark. The core of Apache Flink is a distributed streaming dataflow engine written in Java and Scala. It aims to bridge the gap between MapReduce-like systems and shared-nothing parallel data base systems. Therefore, Flink executes arbitrary dataflow programs in a data-parallel and pipelined manner. Flink's pipelined runtime system enables the execution of bulk/batch and stream processing programs. Furthermore, Flink's runtime supports the execution of iterative algorithms natively.
Flink programs can be written in Java or Scala and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment. Flink does not provide its own data storage system, input data must be stored in a distributed storage system like HDFS or HBase. For data stream processing, Flink consumes data from (reliable) message queues like Kafka.
Flink (released in North America as The Misadventures of Flink), is a 2D scrolling platform video game developed by Psygnosis.
The Amiga CD32 and Sega CD versions are reliant on CD-ROM media to store large levels, highly detailed graphics, and high-quality music. The Mega Drive version is a cut-down version.
Flink is one of the few Amiga CD32 titles not to see a release for the Amiga home computer system, on which the CD32's hardware was based. The majority of titles released for the CD32 were essentially the versions developed for Amiga home computers, taking only minor advantage of the CD-ROM medium with extra levels, CD audio, and/or FMV sequences.
The creators, Erwin Kloibhofer and Henk Nieborg, were also responsible for the games The Adventures of Lomax and Lionheart.
Reviewing the Sega CD version, GamePro assessed that the quality of the gameplay, graphics, and sound are solid, but that the style is unbearably cutesy, enjoyable only "for an audience that thinks Mickey Mouse is too grown up."
The Apache (/əˈpætʃiː/; French: [a.paʃ]) are culturally related Native American tribes from the Southwestern United States and Northern Mexico. These indigenous peoples of North America speak Southern Athabaskan languages, which are related linguistically to Athabaskan languages in Alaska and western Canada.
Apache people traditionally have lived in Eastern Arizona, Northern Mexico (Sonora and Chihuahua), New Mexico, West Texas, and Southern Colorado. Apacheria, their collective homelands, consisted of high mountains, sheltered and watered valleys, deep canyons, deserts, and the southern Great Plains. The Apache tribes fought the Spanish and Mexican peoples for centuries. The first Apache raids on Sonora appear to have taken place during the late 17th century. In 19th-century confrontations, the U.S. Army found the Apache to be fierce warriors and skillful strategists.
Apache groups are politically autonomous. The major groups speak several different languages and developed distinct and competitive cultures. The current division of Apache groups includes Western Apache, Chiricahua, Mescalero, Jicarilla, Lipan, and Plains Apache (also known as the Kiowa-Apache). Apache groups live in Oklahoma and Texas and on reservations in Arizona and New Mexico. Apache people have moved throughout the United States and elsewhere, including urban centers.
The Voice may refer to:
Apache Spark is an open source cluster computing framework originally developed in the AMPLab at University of California, Berkeley but was later donated to the Apache Software Foundation where it remains today. In contrast to Hadoop's two-stage disk-based MapReduce paradigm, Spark's multi-stage in-memory primitives provides performance up to 100 times faster for certain applications. By allowing user programs to load data into a cluster's memory and query it repeatedly, Spark is well-suited to machine learning algorithms.
Spark requires a cluster manager and a distributed storage system. For cluster management, Spark supports standalone (native Spark cluster), Hadoop YARN, or Apache Mesos. For distributed storage, Spark can interface with a wide variety, including Hadoop Distributed File System (HDFS),Cassandra,OpenStack Swift, Amazon S3, Kudu, or a custom solution can be implemented. Spark also supports a pseudo-distributed local mode, usually used only for development or testing purposes, where distributed storage is not required and the local file system can be used instead; in such a scenario, Spark is run on a single machine with one executor per CPU core.
Actors: Christian Lindblad (actor), Outi Mäenpää (actress), Tiina Pirhonen (actress), Kimmo Taavila (editor), Pirkko Hämäläinen (actress), Leea Klemola (actress), Rauno Ahonen (actor), Matleena Kuusniemi (actress), Timo Hietala (composer), Liisa Penttilä (producer), Tarja Heinula (actress), Juha Hippi (actor), Robert Enckell (actor), Jari Nissinen (actor), Simo Halinen (director),
Genres: ,Actors: Erika Szántó (writer), Zdenkó Tamássy (composer), Éva Schulze (writer), Péter Andorai (actor), László Szacsvay (actor), Sándor Gáspár (actor), Károly Eperjes (actor), Péter Haumann (actor), Péter Blaskó (actor), Tamás Jordán (actor), Róbert Koltai (actor), István Dégi (actor), Judit Hernádi (actress), Éva Schulze (miscellaneous crew), Imre Sinkovits (actor),
Genres: History,Actors: Alfred Balthoff (actor), Rolf Becker (actor), Hans Karl Friedrich (actor), Karl Lieffen (actor), Franz Schafheitlin (actor), Willy Semmelrogge (actor), Jaspar von Oertzen (actor), Monika John (actress), Heidelinde Weis (actress), William Shakespeare (writer), Hans-Dieter Schwarze (director), Manfred Lichtenfeld (actor), Walter Wehner (actor), Katinka Hoffmann (actress), Robert Owens (actor),
Genres: Comedy,Actors: Edith Schlüssel (editor), Helge Kjærulff-Schmidt (actor), Ebbe Langberg (actor), Johannes Meyer (actor), Vera Gebuhr (actress), Sigrid Horne-Rasmussen (actress), Ghita Nørby (actress), Sven Methling (director), Bob Ramsing (writer), Svend Asmussen (actor), Ulrik Neumann (composer), Svend Asmussen (composer), Ulrik Neumann (actor), Mimi Heinrich (actress), Johannes Marott (actor),
Genres: Comedy,Actors: Hjördis Petterson (actress), Eric Abrahamsson (actor), Eric Gustafson (actor), Marianne Löfgren (actress), Gösta Cederlund (actor), Wiktor Andersson (actor), Elof Ahrle (actor), John Botvid (actor), Artur Cederborgh (actor), Åke Söderblom (actor), Magnus Kesster (actor), Arne Lindblad (actor), Gustaf Lövås (actor), Thor Modéen (actor), Carin Swensson (actress),
Genres: ,Actors: Arthur Hoyt (actor), Irving Bacon (actor), Harry Holman (actor), George 'Gabby' Hayes (actor), Walter Brennan (actor), James Burke (actor), William 'Billy' Benedict (actor), Spencer Charters (actor), James Bradbury Jr. (actor), George Chandler (actor), Jack Duffy (actor), James Dunn (actor), Dick Elliott (actor), William Frawley (actor), Si Jenks (actor),
Plot: Richard Foster is the brains of a quartet of con-artists that includes Giltedge, a stock swindler; "Painless," a phony dentist; and "Gorgeous," along as decoration and bait. Richard goes off alone to attend a reunion of his old high-school class but, when he gets there, he discovers that some of his old friends turn out to be not as simple as he remembered them. The reunion is really a plot to lure an old millionaire, Andrew Anshutter, and his money back to town. Richard enters into the scheme and sends for his friends. Thinks are going well for all concerned, with the exception of Anshutter, but Richard falls in love with his old flame from high-school, Susan Adams, and complications arise.
Keywords: 1930s, alumnus, archive-footage, b-movie, bait, barber, barber-shop, con-game, con-man, constableActors: Gösta Rodin (miscellaneous crew), Carl-Gunnar Wingård (actor), Schamyl Bauman (writer), Gösta Rodin (writer), Gideon Wahlberg (writer), Schamyl Bauman (director), Schamyl Bauman (editor), Gösta Rodin (editor), Alva Lundin (miscellaneous crew), Ernst Brunman (actor), Gösta Gustafson (actor), Gideon Wahlberg (actor), Wictor Hagman (actor), Ola Isene (actor), Mary Gräber (actress),
Genres: Comedy,http://bit.ly/1ORsFBI In this week's whiteboard walkthrough, Balaji Narasimhalu, product manager at MapR, explains the difference between Apache Spark and Apache Flink and how to make a decision which to use.
This Apache Flink Tutorial for Beginners will introduce you to the concepts of Apache Flink, ecosystem, architecture, dashboard and real time processing on Flink. This Apache Flink tutorial is ideal for beginners to learn the basics.
Jamie Grier outlines the latest important features in Apache Flink and walks you through building a working demo to show these features off. Topics may include queryable state, dynamic scaling, streaming SQL, very large state support, and whatever is the latest and greatest in March 2017. Videos Filmed & Edited by Bash Films: http://BashFilms.com
Apache Flink: What, How, Why, Who, Where? is the inaugural talk of the New York City (NYC) Apache Flink Meetup by Slim Baltagi. The event took place at the Civic Hall in NYC on February 2nd, 2016 with 200 attendees. This introductory level talk is about Apache Flink: a multi-purpose Big Data analytics framework leading a movement towards the unification of batch and stream processing in the open source. With the many technical innovations it brings along with its unique vision and philosophy, it is considered the 4 G (4th Generation) of Big Data Analytics frameworks providing the only hybrid (Real-Time Streaming + Batch) open source distributed data processing engine supporting many use cases: batch, streaming, relational queries, machine learning and graph processing. In this talk,...
Have you been wondering what does a badminton sensor look like? What does it do? How does it work? Well look no further, unboxing Flink! Watch now to learn more about badminton sensors that can change your game. Buy on https://www.spelmera.com @ Rs 3799/- only. 50% lesser than other sensors in the market. #ConquerTheCourt #PlayWithFlink #SmartBadmintonGeneration
In this week’s Whiteboard Walkthrough, Stephan Ewen, PMC member of Apache Flink and CTO of data Artisans, describes a valuable capability of Apache Flink stream processing: grouping events together that were observed to occur within a configurable window of time, the event time.
¡¡¡Si te gustó, pulsa Like , suscribete, comparte y comenta.!!! Player 1: JackNolddor Longplay Game: The Misadventures of Flink Plataforma: Sega Megadrive / Genesis Emulador: Kega Fusion v3.64
http://www.recordedamigagames.org Played By: ScHlAuChi The german word flink means swift, agile, speedy, slippy etc. The main character of this game is nothing like that, but that doesnt make it less enjoyable. The whole package is really awesome - fantastic Pixel GFX by Henk Nieborg - great music by Matthias Steinwachs and good programming and gameplay design by Erwin Kloibhofer - the same team that brought you the superb Lionheart and later created Lomax in Lemmingland :) However where there is sunshine theres also rain, the Amiga version has a nasty overlay issue with the HUD that the Megadrive version doesnt have. Another annoyance is flickering, black frames and slowdown that sometimes occur. I wasnt able to keep the SoundFX of the game intact, as they were heavily bro...
You're watching the official music video for the song "Twisted" by FLINK. Max (the mattress man): Yannick Schmuki Lisa (the woman): Noémi Besedes Guests: Fabienne Hubmann, Dominik Wyser, Jonas Wydler, Julia Krummenacher The band: FLINK (Martin Brabec, Hannes Herger, Adi Schmid, Jonathan Winkler) Drehbuch & Regie: Simon Helbling & Oliver Schmuki Kamera: Andi Meyer Schnitt: Odine Corallo Regieassistenz: Tobias Stücheli Licht: Michael Grob Maske: Katja Fähndrich Kostüm: Carola Bachmann Setdesign: Felicitas Dagostin Farbdesign: Daryl Hefti Sounddesign: Christoph Binder Set-Photographie: Bruno Rubatscher Filmed with: Canon EOS 5D Mark II / Canon EOS 7D Shot on location in Lucerne, Switzerland. The song "Twisted" is taken from the album "Catch Me When I Fall". Buy it...
This is Jamie Grier's recent talk from OSCON 2016. In this video Jamie gives the worlds shortest intro to stream processing and then dives into code and demonstrations of the features in Apache Flink that make truly robust stream processing possible. Topics covered are: - Apache Flink - Event Time vs. Processing Time - Fault tolerance - State management in the face of faults - Savepoints - Data re-processing The code that goes along with this talk is available here: https://github.com/dataArtisans/oscon
https://www.bigdataspain.org Abstract: https://www.bigdataspain.org/program/fri-why-apache-flink-better-than-spark.html Slides: https://www.slideshare.net/secret/52LDxEOG0Dwxmp Session presented at Big Data Spain 2016 Conference 18th Nov 2016 Kinépolis Madrid Event promoted by: http://www.paradigmadigital.com
Lost a match and don't know how? Winning and want to maintain your streak with a consistent gameplay? Get the power of data on your side in your quest to #ConquerTheCourt. Presenting #Flink, your very own smart badminton sensor! Available now on https://www.spelmera.com/
Flink Forward Berlin, September 2017 #flinkforward Stefan Richter, Software Engineer at data Artisans Stateful stream processing with exactly-once guarantees is one of Apache Flink's distinctive features and we have observed that the scale of state that is managed by Flink in production is constantly growing. This development created new challenges for state management in Flink, in particular for state checkpointing, which is the core of Flink's fault tolerance mechanism. Two of the most important problems that we had to solve were the following: (i) how can we limit the duration and size of checkpoints to something that does not grow linearly in the size of the state and (ii) how can we take checkpoints without blocking the processing pipeline in the meantime? We have implemented increm...
Meer Beste Zangers vind je op: Facebook: https://www.facebook.com/bestezangers Instagram: https://www.instagram.com/bestezangersnl Twitter: https://www.twitter.com/bestezangers Officiële website: http://www.avrotros.nl/bestezangers Meer AVROTROS vind je op: Facebook: https://www.facebook.com/AVROTROS.nl Instagram: https://www.instagram.com/omroep.avrotros Twitter: https://www.twitter.com/AVROTROS Officiële website: http://www.avrotros.nl
This video presents how to use Apache Flink to produce and consume data from a Kafka topic. First, I present how to install Kafka, then I use the command line tools of Kafka to create a topic, consume from it and produce into it. Afterwards, I'm showing how to consume with Flink.
Brace zingt bij The Blind Auditions van The voice of Holland het nummer "Flink Zijn" van Robert Long. Hij kiest uiteindelijk voor coach Ali B. The voice of Holland is elke vrijdag om 20:30 uur te zien bij RTL 4. Aflevering terugkijken? Check de officiële website: www.thevoiceofholland.com. ABONNEER voor meer video's: http://bit.ly/TVOHyoutube THE VOICE OF HOLLAND - SOCIAL MEDIA Facebook - http://www.facebook.com/thevoiceofholland Instagram - http://www.instagram.com/rtl_tvoh Twitter - http://www.twitter.com/rtl_tvoh OVER THE VOICE OF HOLLAND The voice of Holland is dé talentenjacht die iedere vrijdagavond vanaf 20.30 uur te zien is bij RTL 4. Bij deze show gaat het om écht talent. Alleen het beste van het beste is goed genoeg. De beste stem en de juiste mentaliteit, daar draait het om. ...
That, which is argued for centuries,
There, where answer is found,
All is the world, where a human doomed to death
Can’t find himself
The whole universe being
Is the universe dust kept in centuries.
We don’t notice how
We doom everything to ashes.
Fool’s tread has no borders
He erases them
He calls himself falsely
And boasts of the rightless right
What will we leave on the Earth?
- Trace of burning darkness,
Bones, keeping the secret,
Moment, when we’ve doomed ourselves
And where no arguing will be
Where no answer will be found
There is a world, we didn’t save