Avro Tutorial

Q: お住まいの国では利用できないAvro Tutorialをダウンロードしたい時にはどうすればいい？

<a href="https://apkpure.com/howto/how-to-download-an-iphone-app-if-it-is-not-available-in-your-country">ここ</a>をクリック！地理的に制限されているアプリのダウンロード方法をご参考ください。

Q: Avro Tutorialの対応言語は何ですか？

Avro Tutorialは次の言語がサポートされています。 英語

Q: Avro Tutorialを実行するための最小システム要件は何？

次のリストをチェックして、Avro Tutorialの最低システム要件をご確認ください。<br/><ul><li>iPhone-iOS 9.0以降が必要です。</li><li>iPad-iPadOS 9.0以降が必要です。</li><li>iPod touch-iOS 9.0以降が必要です。</li></ul>

無料

1.0for iPhone, iPad and more

Hieu Dang Van

Developer

63.4MB

Size

2021年08月21日

Update Date

Books

Category

Age Rating

App Store 開発者ウェブサイト

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Avro Tutorial スクリーンショット

iPad

iPhone

About Avro Tutorial

Apache Avro™ is a data serialization system.

Avro provides:

Rich data structures.
A compact, fast, binary data format.
A container file, to store persistent data.
Remote procedure call (RPC).
Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation as an optional optimization, only worth implementing for statically typed languages.

This tutorial is prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become successful Hadoop developers.