PRINT PDF WORD CSV EXCEL
Edit Delete
Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Let's get lower level

18th July, 2024
Last date to join: 31st July, 2024

Hi everyone I'm a recovering (lol) front-end dev with around 6 years of experience, currently taking half a sabbatical while freelancing to pivot to something lower level. Here's some materials I'm (planning on) making my way through: NAND2Tetris (near-finished) Operating Systems: Three Easy Pieces Mathematics for Computer Science Computer Networking, a Top-down Approach and CS144 Networking Computer Systems, A Programmer's Perspective Designing Data-Intensive Applications (Kleppmann) Also trying to work on Data Structures & Algorithms via Neetcode daily. Happy to mentor and be mentored. If there's overlap in the materials, you're going in a somewhat similar direction, you're a veteran, or would just like to chat, please reach out!

Proficient English

Description

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

  • Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
  • Understand the distributed systems research upon which modern databases are built
  • Peek behind the scenes of major online services, and learn from their architectures

Designing Data-Intensive Applications

Start Learning
Books
O'Reilly Media
Exclusively Paid
19h 39m
No Certificate
616 pages

Let's get lower level

18th July, 2024
Last date to join: 31st July, 2024
Start Learning
Affiliate notice

Hi everyone I'm a recovering (lol) front-end dev with around 6 years of experience, currently taking half a sabbatical while freelancing to pivot to something lower level. Here's some materials I'm (planning on) making my way through: NAND2Tetris (near-finished) Operating Systems: Three Easy Pieces Mathematics for Computer Science Computer Networking, a Top-down Approach and CS144 Networking Computer Systems, A Programmer's Perspective Designing Data-Intensive Applications (Kleppmann) Also trying to work on Data Structures & Algorithms via Neetcode daily. Happy to mentor and be mentored. If there's overlap in the materials, you're going in a somewhat similar direction, you're a veteran, or would just like to chat, please reach out!

Proficient English

  • Type
    Books
  • Provider
    O'Reilly Media
  • Pricing
    Exclusively Paid
  • Duration
    19h 39m
  • Certificate
    No Certificate
  • Pages
    616 pages

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

  • Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
  • Understand the distributed systems research upon which modern databases are built
  • Peek behind the scenes of major online services, and learn from their architectures

Learning is better with Cohorts

Active hands-on learning
Build assignments each week
Feedback loop
Submit your assignment, and receive feedback from your peers. Stuck on a problem?
Learn with a cohort of peers
Join a group of like-minded people who want to learn and grow alongside you

Frequently asked questions

Yes. Our study groups (all of them) are free to join

You join the group and study the MOOC together on a schedule. The exact dates, deadlines, are created by the host

This depends on the host of your group. Some groups have weekly video calls for accountability + doubt solving.

Moocable is a community where you can find study partners, mentors, or people to collaborate on projects. It's designed for people who want to upskill, but struggle with self-learning. Users often post about their skills, goals, and what they're looking to learn or work on, and others can respond to form partnerships or groups. You can join our community

31st July, 2024

Quick Links

Browse by subject

Browse by provider

Browse by university

Browse by publisher

Browse by institution

Roadmaps

Posts