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Overview of Object Oriented, Wide Column, and Vector Databases
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Manage episode 401680205 series 65608


305 Episoden
Archivierte Serien ("Inaktiver Feed" status)
When?
This feed was archived on March 24, 2016 19:45 (
Why? Inaktiver Feed status. Unsere Server waren nicht in der Lage einen gültigen Podcast-Feed für einen längeren Zeitraum zu erhalten.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 401680205 series 65608


305 Episoden
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1 Things to Know when Considering Multi-Tenant or Multi-Threaded Applications


1 Two Water Coolers Walk Into a Bar…


1 How did We Even Arrive Here?


1 AI, Blank Pages, and Client Libraries…oh my!


1 Alternatives to Administering and Running Apache Kafka


1 Nuts and Bolts of Apache Kafka




1 StackOverflow AI Disagreements, Kotlin Coroutines and More


1 Llama 3 is Here, Spending Time on Environmental Setup and More


1 Ktor, Logging Ideas, and Plugin Safety


1 Importance of Data Structures, Bad Documentation and Comments and More




1 Multi-Value, Spatial, and Event Store Databases


1 Overview of Object Oriented, Wide Column, and Vector Databases


1 Picking the Right Database Type – Tougher than You Think


1 There is still cool stuff on the internet


1 Reflecting on 2023 and Looking Forward to 2024


1 Gartner Top Strategic Technology Trends 2024


1 2023 Holiday Season Developer Shopping List


1 Gartner and your Life Partners


1 Open Telemetry – Instrumentation and Metrics


1 Keyboards, Cloud Costs, Static Analysis, and Philosophy


1 Code Confidence using NASA’s Ten Simple Rules




1 Tracing Specifics – Know your System with OpenTelmetry




1 Software in Audio and How to Lead


1 Team Leadership, TUIs, and AI Lawsuits


1 Better Application Management with Custom Apps


1 Errors vs Exceptions, Reddit Rebels, and the 2023 StackOverflow Survey


1 Easy and Cheap AI for Developers, Reddit API Changes and Sherlocking 1:55:36


1 Gitlab vs Github, AI vs Microservices


1 Supporting Your Code, README vs Wiki and Test Coverage 1:16:35




1 Understanding Serial Transactions for Databases like Redis


1 Designing Data-Intensive Applications – Lost Updates and Write Skew


1 ChatGPT and the Future of Everything


1 Designing Data-Intensive Applications – Weak Isolation and Snapshotting


1 Designing Data-Intensive Applications – Multi-Object Transactions


1 Designing Data-Intensive Applications – Transactions






1 Job Hopping and Favorite Dev Books


1 Technical Challenges of Scale at Twitter






1 Git from the Bottom Up – Reset, Stash, and Reflog


1 Git from the Bottom Up – The Index


1 Git from the Bottom Up – Rebasing


1 Git from the Bottom Up – Commits


1 Git from the Bottom Up – Blobs and Trees




1 Stack Overflow 2022 Survey Says …


1 Site Reliability Engineering – More Evolution of Automation


1 Site Reliability Engineering – Evolution of Automation


1 Site Reliability Engineering – (Still) Monitoring Distributed Systems


1 Site Reliability Engineering – Monitoring Distributed Systems


1 Site Reliability Engineering – Eliminating Toil


1 Site Reliability Engineering – Service Level Indicators, Objectives, and Agreements


1 Site Reliability Engineering – Embracing Risk


1 Software Reliability Engineering – Hope is not a strategy




1 Minimum Viable Continuous Delivery




1 PagerDuty’s Security Training for Engineers, The Dramatic Conclusion


1 PagerDuty’s Security Training for Engineers, Penultimate


1 PagerDuty’s Security Training for Engineers! Part Deux


1 PagerDuty’s Security Training for Engineers




1 Designing Data-Intensive Applications – Secondary Indexes, Rebalancing, Routing


1 Designing Data-Intensive Applications – Partitioning




1 Should You Speak at a Conference?


1 Transactions in Distributed Systems


1 Docker Licensing, Career and Coding Questions


1 Why Get Into Competitive Programming?


1 Are Microservices … for real?


1 2021 State of the Developer Ecosystem




1 Designing Data-Intensive Applications – Leaderless Replication


1 Designing Data-Intensive Applications – Multi-Leader Replication


1 Designing Data-Intensive Applications – Single Leader Replication










1 Specialize or Bounce Around?






1 Who Owns Open-Source Software?


1 Our Favorite Developer Tools of 2020




1 What is a Developer Game Jam?


1 The DevOps Handbook – Create Organizational Learning




1 The DevOps Handbook – Enable Daily Learning 1:52:56


1 The DevOps Handbook – The Value of A/B Testing 1:50:13


1 Is Kubernetes Programming? 1:42:15


1 The DevOps Handbook – Enabling Safe Deployments 1:36:58


1 The DevOps Handbook – Anticipating Problems 1:22:25


1 The DevOps Handbook – The Technical Practices of Feedback 1:51:11


1 The DevOps Handbook – Architecting for Low-Risk Releases 2:05:23


1 The DevOps Handbook – The Technical Practices of Flow 1:50:51


1 Survey Says … 2020 Stack Overflow Developer Survey 2:07:41


1 Google’s Engineering Practices – How to Navigate a Code Review 1:42:16


1 Google’s Engineering Practices – What to Look for in a Code Review 1:41:48


1 Google’s Engineering Practices – Code Review Standards 1:39:01


1 Big Data – How Far is Too Far? 1:51:10


1 Designing Data-Intensive Applications – To B-Tree or not to B-Tree 1:56:40


1 How to Work Remote Effectively 2:10:24


1 Designing Data-Intensive Applications – SSTables and LSM-Trees 1:38:11


1 Designing Data-Intensive Applications – Storage and Retrieval 2:15:58


1 Why Attend Developer Conferences and What were the Hot Topics at NDC London 2020? 1:16:32


1 Designing Data-Intensive Applications – Data Models: Query Languages 1:38:44


1 Designing Data-Intensive Applications – Data Models: Relationships 2:14:00


1 Designing Data-Intensive Applications – Data Models: Relational vs Document 1:53:53


1 Designing Data-Intensive Applications – Maintainability 2:06:42


1 Designing Data-Intensive Applications – Scalability 1:52:19


1 Designing Data-Intensive Applications – Reliability 2:02:01


1 Developer Shopping Spree 2019 2:32:52


1 DevOps: Job Title or Job Responsibility? 2:00:06


1 3factor app – Async Serverless 1:31:37


1 3factor app – Reliable Eventing 2:03:13


1 3factor app – Realtime GraphQL 2:21:42


1 The Pragmatic Programmer – How to Build Pragmatic Teams 2:07:45


1 The Pragmatic Programmer – How to use Exceptions 1:54:00


1 The Pragmatic Programmer – How to Generate Code 2:02:51


1 The Pragmatic Programmer – How to Debug 1:53:30


1 The Pragmatic Programmer – Know Thy Tools 2:03:32


1 The Pragmatic Programmer – How to Estimate 1:58:10


1 The Pragmatic Programmer – Tracer Bullets and Prototyping 1:45:34


1 The Pragmatic Programmer – Is Your Code Orthogonal? 2:01:23


1 The Pragmatic Programmer – The Evils of Duplication 1:46:04


1 The Pragmatic Programmer – Investing in Your Knowledge Portfolio 2:36:43


1 Should Your Web App be a Progressive Web App (PWA)? 1:58:28


1 The Second Date is Always Easier 1:38:01


1 Why Date-ing is Hard 1:46:45


1 What Should You Learn Next? 1:14:30


1 Tackling Tough Developer Questions 1:44:15




1 Data Structures – Heaps and Tries 1:28:06


1 Data Structures – (some) Trees 1:49:56


1 Data Structures – Hashtable vs Dictionary 1:49:08


1 Data Structures – Arrays and Array-ish 2:38:38


1 Data Structures – Primitives 2:42:57


1 Developer Shopping Spree 2:43:37


1 Azure Functions and CosmosDB from MS Ignite 1:07:08


1 How to Learn Programming Skills 1:12:19


1 Comparing Git Workflows 1:48:53


1 Does Big O Matter? 1:52:13


1 What is Algorithmic Complexity? 1:41:50


1 Thunder Talks 2:00:48


1 Lightning Talks 1:58:50


1 Graph Algorithms 1:15:18


1 Algorithms You Should Know 2:15:22


1 Search Driven Apps 2:18:37


1 Programmer Strengths and Weaknesses 1:50:19


1 Understanding Complexity Theory 1:51:15




1 Design Anti-Patterns: YoYo, The God Object and More 1:28:40


1 Deliberate Practice for Programmers 2:16:51


1 Clean Architecture – Are Microservices Truly Decoupled? 2:11:56


1 Clean Architecture – What is the Humble Object Pattern? 1:44:16


1 Clean Architecture – Make Your Architecture Scream 2:25:23


1 Clean Architecture – The Art of Drawing Lines 1:53:59


1 Clean Architecture – Keeping Your Options Open 2:19:01


1 Clean Architecture – How to Quantify Component Coupling 2:19:16


1 Clean Architecture – Components and Component Cohesion 1:58:09


1 How to Spend $2,500 on Developer Gear 1:58:31


1 Clean Architecture – Programming Paradigms 2:08:55


1 Clean Architecture – Fight for Architecture 1:37:37


1 Object Oriented Mistakes 1:55:47


1 Project Management Anti-patterns 2:05:06


1 Software Design Anti-patterns 2:04:17


1 Software Architecture – What is Supple Design?


1 Software Architecture – Explicit Constraints, Processes, Specification Pattern, and more 2:03:34


1 Software Architecture – Strategic Design and Domain Events 1:58:07


1 Software Architecture – Aggregate Roots, Factories, and Repositories 2:11:52


1 Software Architecture – The Domain in Domain Driven Design 1:41:33


1 How to Jumpstart Your Next App 1:27:28


1 Why Domain Driven Design 1:32:08


1 How We Badly Built Stuff 1:38:26


1 Clean Code – How to Build Maintainable Systems 1:58:21


1 Clean Code – How to Write Classes the Right Way 1:23:15


1 Clean Code – How to Write Amazing Unit Tests


1 Clean Code – Integrating with Third Party Libraries the Right Way 1:18:07


1 Clean Code – Error Handling 1:25:48


1 Clean Code – Objects vs Data Structures


1 Clean Code – Formatting Matters 2:18:34


1 Clean Code – Comments Are Lies 2:19:16


1 Clean Code – How to Write Amazing Functions
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