Effective Serialization In Go: JSON, Protocol Buffers and More

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Miki Tebeka

1:11:08

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01 - Introduction

01 - Effective serialization in Go.mp4

01:18

02 - What you should know.mp4

00:33

03 - Working with Codespaces.mp4

00:32

02 - 1. Serialization Overview

01 - Why do we need serialization.mp4

01:42

02 - Picking a format.mp4

03:17

03 - General rules.mp4

01:47

04 - Formats overview.mp4

02:50

03 - 2. Go-Specific Formats

01 - String representation.mp4

01:04

02 - encoding.TextMarshaler.mp4

01:30

03 - encodinggob.mp4

01:49

04 - Challenge User database.mp4

01:47

05 - Solution User database.mp4

01:16

04 - 3. Working with JSON

01 - encodingjson API.mp4

04:26

02 - Custom marshaling.mp4

02:29

03 - Zero vs. missing values.mp4

03:38

04 - Handling dynamic types.mp4

03:06

05 - Streaming JSON.mp4

05:18

06 - Challenge Marshal metrics.mp4

01:10

07 - Solution Marshal metrics.mp4

01:28

05 - 4. Working with Protocol Buffers

01 - Protocol buffers overview.mp4

03:37

02 - Generating code.mp4

03:23

03 - Using the generated code.mp4

02:42

04 - Working with time.mp4

01:34

05 - Emitting JSON.mp4

02:37

06 - Challenge Encode RideEnd to a file.mp4

00:40

07 - Solution Encode a RideEnd to a file.mp4

01:51

06 - 5. Other Serialization Formats

01 - YAML and TOML.mp4

02:02

02 - XML.mp4

01:46

03 - CSV.mp4

01:52

04 - SQL.mp4

04:00

05 - Challenge ETL.mp4

01:03

06 - Solution ETL.mp4

02:28

07 - Conclusion

01 - Next steps.mp4

00:33

Description

Serialization—taking data structures from the language and converting them to a sequence of bytes—is something every developer encounters at one point or another. In this course, instructor Miki Tebeka teaches you how to work effectively with serialization in Go. This course is targeted to advanced Go developers, and starts with a look at some serialization best practices. Miki then looks at some Go-specific formats as well as JSON. He also shows you how to work with protocol buffers—a powerful binary format—and finishes with a tour of some other popular serialization formats like XML, CSV, and SQL. Each chapter ends with a challenge, so you can test your serialization skills as you go.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Working with Codespaces” video to learn how to get started.

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Miki Tebeka

Instructor's Courses

Teaching effective hands-on workshops all of the world. Consultant solving hard problem with the right tools (Java and C++ are *not* the right tools ;). Book author, LinkedIn learning Author, open source contributor and convention organizer, meetup co host and coding for fun in my spare time. Specialties: Python & Scientific Python (Expert), Go (Expert), C/C++, Clojure, JavaScript, bash, ... Information retrieval - tokenization, summarization, clustering, search ... Concurrency - Multi process, multi threaded, Hadoop ... Web development - REST APIs, jQuery, JavaScript, CSS, (X)HTML Assemblers, Linkers, Debugger, Simulators SCM tools (git, Mercurial, Perforce, subversion, CVS, ClearCase) Linux, OS X and Windows Functional Programming, OOD, OOP Databases - SQL (BigQuery, PostgreSQL, MySQL, Oracle) and NoSQL (Redis, MongoDB, CouchDB)

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