ByteByteGo 2024年09月07日
EP128: The Ultimate Software Architect Knowledge Map
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本文探讨了PostgreSQL在数据库领域的地位及其广泛的应用场景。从时间序列到机器学习,再到OLAP、地理空间数据和搜索,PostgreSQL都展现出强大的扩展性和适应性,使其成为数据库领域的热门选择。文章还列举了PostgreSQL在不同领域的应用案例,并展望了其未来发展趋势。

👍 PostgreSQL 凭借其强大的扩展性和适应性,正在成为数据库领域不可忽视的力量。无论是时间序列数据、机器学习、OLAP 分析、地理空间数据,还是搜索功能,PostgreSQL 都能通过扩展和集成,提供相应的解决方案,满足各种应用场景的需求。

✨ PostgreSQL 的扩展能力使其能够轻松集成各种外部工具和技术,例如 Timescale 用于时间序列数据、pgVector 和 PostgresML 用于机器学习、Hydra、Citus 和 pg_analytics 用于 OLAP 分析等。这些扩展为 PostgreSQL 带来了强大的功能,使其能够处理各种复杂的数据类型和分析任务。

🌍 PostgreSQL 强大的功能和广泛的应用场景使其成为许多开发者的首选数据库。它的灵活性和可扩展性使其能够适应各种应用需求,并提供高效、可靠的数据存储和管理解决方案。

🚀 PostgreSQL 的未来发展趋势值得期待。随着技术的不断进步,PostgreSQL 将继续扩展其功能,并与更多外部工具和技术进行集成,进一步提升其在各种应用场景中的竞争力。

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The Ultimate Software Architect Knowledge Map

Becoming a Software Architect is a journey where you are always learning. But there are some things you must definitely strive to know.

    Master a Programming Language
    Look to master 1-2 programming languages such as Java, Python, Golang, JavaScript, etc.

    Tools
    Build proficiency with key tools such as GitHub, Jenkins, Jira, ELK, Sonar, etc.

    Design Principles
    Learn about important design principles such as OOPS, Clean Code, TDD, DDD, CAP Theorem, MVC Pattern, ACID, and GOF.

    Architectural Principles
    Become proficient in multiple architectural patterns such as Microservices, Publish-Subscribe, Layered, Event-Driven, Client-Server, Hexagonal, etc.

    Platform Knowledge
    Get to know about several platforms such as containers, orchestration, cloud, serverless, CDN, API Gateways, Distributed Systems, and CI/CD

    Data Analytics
    Build a solid knowledge of data and analytics components like SQL and NoSQL databases, data streaming solutions with Kafka, object storage, data migration, OLAP, and so on.

    Networking and Security
    Learn about networking and security concepts such as DNS, TCP, TLS, HTTPS, Encryption, JWT, OAuth, and Credential Management.

    Supporting Skills
    Apart from technical, software architects also need several supporting skills such as decision-making, technology knowledge, stakeholder management, communication, estimation, leadership, etc.

Over to you - What else would you add to the roadmap?


Tech Career Basic Requirements

Source: Aigent

Is PostgreSQL eating the database world?

It seems that no matter what the use case, PostgreSQL supports it. When in doubt, you can simply use PostgreSQL.

    TimeSeries
    PostgreSQL embraces Timescale, a powerful time-series database extension for efficient handling of time-stamped data.

    Machine Learning
    With pgVector and PostgresML, Postgres can support machine learning capabilities and vector similarity searches.

    OLAP
    Postgres can support OLAP with tools such as Hydra, Citus, and pg_analytics.

    Derived
    Even derived databases such as DuckDB, FerretDB, CockroachDB, AlloyDB, YugaByte DB, Supabase, etc provide PostgreSQL.

    GeoSpatial
    PostGIS extends PostgreSQL with geospatial capabilities, enabling you to easily store, query, and analyze geographic data.

    Search
    Postgres extensions like pgroonga, ParadeDB, and ZomboDB provide full-text search, text indexing, and data parsing capabilities.

    Federated
    Postgres seamlessly integrates with various data sources such as MongoDB, MySQL, Redis, Oracle, ParquetDB, SQLite, etc, enabling federated querying and data access.

    Graph
    Apache AGE and EdgeDB are graph databases built on top of PostgreSQL. Also, pg_graphql is an extension that provides GraphQL support for Postgres.

Over to you: Have you seen any other use cases of PostgreSQL?


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11 steps to go from Junior to Senior Developer

    Collaboration Tools
    Software development is a social activity. Learn to use collaboration tools like Jira, Confluence, Slack, MS Teams, Zoom, etc.

    Programming Languages
    Pick and master one or two programming languages. Choose from options like Java, Python, JavaScript, C#, Go, etc.

    API Development
    Learn the ins and outs of API Development approaches such as REST, GraphQL, and gRPC.

    Web Servers and Hosting
    Know about web servers as well as cloud platforms like AWS, Azure, GCP, and Kubernetes

    Authentication and Testing
    Learn how to secure your applications with authentication techniques such as JWTs, OAuth2, etc. Also, master testing techniques like TDD, E2E Testing, and Performance Testing

    Databases
    Learn to work with relational (Postgres, MySQL, and SQLite) and non-relational databases (MongoDB, Cassandra, and Redis).

    CI/CD
    Pick tools like GitHub Actions, Jenkins, or CircleCI to learn about continuous integration and continuous delivery.

    Data Structures and Algorithms
    Master the basics of DSA with topics like Big O Notation, Sorting, Trees, and Graphs.

    System Design
    Learn System Design concepts such as Networking, Caching, CDNs, Microservices, Messaging, Load Balancing, Replication, Distributed Systems, etc.

    Design patterns
    Master the application of design patterns such as dependency injection, factory, proxy, observers, and facade.

    AI Tools
    To future-proof your career, learn to leverage AI tools like GitHub Copilot, ChatGPT, Langchain, and Prompt Engineering.

Over to you: What else would you add to the roadmap?


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PostgreSQL 数据库 时间序列 机器学习 OLAP 地理空间 搜索
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