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Apache Avro For Big Data Serialization And Deserialization - AD-TEAM - 12-05-2024
![[Image: accd47a0d19ed1cff5e5cfd4afdab251.jpg]](https://i124.fastpic.org/big/2024/1205/51/accd47a0d19ed1cff5e5cfd4afdab251.jpg)
Apache Avro For Big Data Serialization And Deserialization
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 588.45 MB | Duration: 1h 34m
Efficiently handle big data serialization with Apache Avro-learn everything from downloading Avro to implementing SerDe
What you'll learn
Understand the fundamentals of Apache Avro and its role in data serialization
Set up and configure the Avro environment for data processing
Master the process of serializing and deserializing data using Avro
Work with namespaces, generic records, and Avro schemas
Implement practical examples for serializing complex data
Use Avro in data engineering projects for efficient data handling
Requirements
Basic understanding of data formats (e.g., JSON, XML)
Familiarity with programming in Python or Java
Some experience with big data tools (Hadoop, Spark) is a plus
A computer with at least 4GB RAM for running Avro setups
Description
Introduction:Apache Avro is a popular data serialization system used in the Apache Hadoop ecosystem. It provides a compact, fast, binary data format, enabling seamless integration for big data processing and storage. This course, "Mastering Apache Avro for Big Data Serialization and Deserialization," is designed to equip you with the skills needed to effectively serialize and deserialize data using Avro. From setting up your environment to mastering Avro SerDe (Serialization/Deserialization), this course covers it all. By the end, you'll be capable of handling Avro data efficiently in your data engineering projects.Section 1: IntroductionThis section serves as an overview of Apache Avro, discussing its importance in big data environments for efficient data serialization. You'll understand why Avro is preferred for Hadoop data workflows and how it facilitates interoperability across different programming languages.Key Topics Covered:Introduction to Apache AvroImportance of data serialization in big dataUse cases of Avro in the Hadoop ecosystemBy the end of this section, you'll have a foundational understanding of Apache Avro and its role in data serialization.Section 2: DownloadIn this section, you'll learn how to set up your environment by downloading and installing Apache Avro. This will involve a step-by-step guide to ensure you have everything ready for hands-on exercises in the subsequent sections.Key Topics Covered
ownloading Apache AvroSetting up your environment for AvroOverview of Avro tools and librariesBy the end of this section, you'll have a fully functional Apache Avro setup on your system.Section 3: Avro SerDe (Serialization/Deserialization)This comprehensive section dives deep into the core functionalities of Apache Avro, focusing on serialization and deserialization. You will work with namespaces, generic records, and learn to serialize complex data like car datasets. This section provides hands-on experience in writing and reading Avro files.Key Topics Covered:Lecture 3: NamespaceUnderstand how to define namespaces in Avro schemas for better data organization.Lecture 4: Import Generic RecordLearn to import and work with generic records for flexible data handling.Lecture 5: Car Data Successfully SerializedA practical example of serializing car data using Avro.Lecture 6: Manually Data InputTechniques for manually inputting data into Avro records.Lecture 7: Car Datum WriterUsing DatumWriter to efficiently serialize data.Lecture 8: Transfer DataMethods to transfer serialized data between systems.Lecture 9: Deserializer with ParserSetting up a deserializer with an Avro parser for reading data.Lecture 10: Car File ReaderReading serialized data back into usable formats using Avro FileReader.Lecture 11: Serialize with CodeWriting code for both serialization and deserialization to automate data handling.By the end of this section, you'll be proficient in using Avro for serializing and deserializing structured data, which is essential for efficient data storage and transmission in big data workflows.Conclusion:This course provides a step-by-step guide to mastering Apache Avro, focusing on both theory and practical application. You'll learn how to efficiently serialize and deserialize data, making your big data solutions more efficient and scalable.![[Image: UhqiWxcr_o.jpg]](https://images2.imgbox.com/41/0a/UhqiWxcr_o.jpg)
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