 So, I talk about ETL made easy with a patch hop, who knows a patch hop already? No one knows, okay? Okay. And I'm a founder of a patch hop user group Japan and Neo4j users group Tokyo. And the Japanese team. And I love Neo4j graph database. So, graph committee MVP on some Neo4j speaker, Neo4j Ninja. Okay. Today's agenda is here. What is a patch hop? And community. And hop concept. And hop versus cattle. Do you know cattle? ETL too. No? Okay. And the plugin and the connection and languages and getting started with a patch hop, how to download, how to use. Okay. And demo of a patch hop and conclusion and QA. Okay. What is a patch hop? A patch hop is the short name of the hop orchestration platform. HOP. Okay. And this is open source data integration platform. It's easy to use. It's free. A patch hop level project and open source and a patch version two license. This is a fork from a cattle. A history is here. 2019 hop initially started as a folk of the cattle. Who knows? Pentaho? No? Oh. Okay. And 2020, we started a patch hop incubating. And 2021. So we start a patch hop, a patch talk level project. And so delete incubating. So just a patch hop. This year, patch hop 2.4.0 released. Community. Here. This is user group in Japan. So meet up here. Facebook here. So a little small user group. Please join us. Okay. And this is YouTube. You can see YouTube about the patch hop. Okay. A concept is here. A patch hop visual development. Easy to use. Drag and drop interface. Just you can make workflow and pipelines. And design once run anywhere. Like Java. Okay. And it's run on native hop runtime. And a patch spark. A patch link. And Google data from. Okay. A patch hop life cycle has a life cycle management. Hop projects, environments, runtime configuration here. And manage Git versions. Hop tools is here. Go away, call encrypt, run, search, server, translator. Hop versus kettle. Kettle is a base of the hop. So a little bit, a lot of different user interface and the name. A feature here. And the very, very different name we use. So most common, I think. Okay. And graphically using interface name and kettle spoon. We use a hop glue. And hop run. And hop run. It's easy to use. Easy to understand. Here. Easy to understand. Do you think so? And unit testing is here. And we support unit testing. And the patch. We support Flink and Google Cloud. Features here. We add a lot of features to kettle. Hop has a lightweight server. Lady like Ruby or Python. Yeah. 8081. Just. You can use the lightweight server. This is a pipeline. Pipeline together with workflows. The main building blocks in hop. Okay. And. Oops. Okay. And next workflows. Workflows are one of the core building blocks in the patch hop. So where pipelines do heavy data lifting orchestration work? So we can control a separate pipeline. The one one workflows from one one workflows. We have a lot of plugins. A lot of servers. A lot of database. It's one of the action plugins. SH, SS, SFTP and pop. We can. We can get. From. From SFTP pop. We can use. From. The data and my SQL support. And. If you also support. A lot of vision database connections have. So driver. Use a driver, JDBC driver and native driver. How did he is here? Uh. 2.4. Add. We add. That TV. You know. That TV. A lot of TV here. That TV TV too. And. Derby. So. Just access. Postgres or Oracle. And my secret. A lot of database. We can read. Okay. Transform is here. Add checks. Add. Seconds. XML join output. And. We can control. Deep. Open. Or read. External plugins here. We have. Drop. Dropbox. Input and output. And Excel output. And Google analytics. And. Google seats input and output. And. Like with. LDIF. Interface and MQTQ. Input output. Here. This is a. A sample of Postgres. Interface. We have. JDBC driver for. 42 4.3. And like. Like. You can. Enter the. Like this. Okay. You can use Postgres. And. We have a lot of. Languages. One is simplified Chinese. We add simplified Chinese. And. English. Oh. Japan also. It's better about you. Languages here. English and Chinese. Diane France. So. Not beta version. Beta version here. A lot of languages. Beta versions. Japanese and Korean. Something. Okay. You can download. From. Website. 2.4.0. Or 2.5. Snapshot. From here. And you can. Also. Okay. Oh. Can I use demo? You might. Okay. Show demo. And. This is a Docker version of. Apache hop. Here. And. You can access. This is a top. Level. Screen. Apache hop. And. This is a. This is a screen and. So. Please imagine. If you. Create. Fake. Fake data. Of. For. Your application. Okay. And. We make a pipeline. Okay. Yeah. So. Generate. Okay. Now. This is a create. Of data. Just. Just 10. 10 records. Okay. 100. Okay. And. That sequence. There it goes. And. No. I can't use demo with your. Okay. Spray. Yeah. Yeah. Yeah. Kafka. Yeah, yes. Yes. Yeah. I love Kafka. I'll be. I think that there. I just downloaded it. Yeah. Yeah. Okay. Yeah. It doesn't work. With the. Screen. screen presentation software. Yeah, I think there is some compatibility issue between the streaming software and this. But yeah, I just tested it on my machine. It does work. Do we have questions for Koji-san?