『Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations』のカバーアート

Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations

Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations

著者： Fexingo
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Lucas and Luna explore the landscape of database technology, from relational SQL systems to document-based NoSQL and emerging storage paradigms. Each episode examines a specific database model—columnar stores, graph databases, time-series engines, or serverless SQL—and dissects its architecture, performance characteristics, and real-world tradeoffs. Lucas brings a journalist's rigor, questioning vendor claims and surfacing benchmark data; Luna pushes back with practitioner experience, asking how these systems behave under production loads. Together they compare when PostgreSQL's mature indexing wins over MongoDB's flexible schema, or why Snowflake's cloud-native approach may not suit every analytical workload. The show also probes deeper: the economics of data storage, the rise of NewSQL, and the implications of data gravity. Listeners will walk away understanding not just which database to choose, but why one design philosophy beats another for a given problem. What happens when your application's read pattern shifts from row-based to columnar? How do you evaluate consistency models without oversimplifying? This is the conversation for data engineers, architects, and technical leaders who need to make informed storage decisions. #SQL #NoSQL #DatabaseTech #DataStorage #PostgreSQL #MongoDB #Snowflake #TimeSeriesDB #GraphDatabase #ColumnarStorage #NewSQL #DataEngineering #Technology #FexingoBusiness #BusinessPodcast #DatabaseArchitecture #DataGravity #Benchmarking Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How Database Partitioning Saves Cloud Costs

    How Database Partitioning Saves Cloud Costs
    2026/09/11
    In this episode, we dissect the often-overlooked financial mechanics of data storage architecture. While most engineers focus on query speed or latency, the real cost driver in modern cloud databases is actually data retention and lifecycle management. We examine how companies like Netflix and Spotify leverage automated partitioning to archive cold data, reducing storage bills by up to forty percent without sacrificing access to historical records. Lucas walks through the specific technical implementation of time-series partitioning, while Luna challenges the trade-offs involved in querying across tiered storage layers. This conversation moves beyond abstract theory to provide a concrete framework for evaluating your own database sprawl, offering listeners one actionable insight: that every unpartitioned table is likely leaking money into high-performance SSD tiers when it should be sitting on cheaper object storage. #DatabaseArchitecture #CloudCostOptimization #DataEngineering #TechFinance #LucasAndLuna #FexingoBusiness #BusinessPodcast #StorageTiers #PartitioningStrategies #NoSQL #SQL #InfrastructureCosts #DataLifecycle #CloudComputing #TechStrategy #EngineeringLeadership #SystemDesign #OperationalExcellence Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • How Database Indexes Create Write Amplification Problems

    How Database Indexes Create Write Amplification Problems
    2026/09/09
    Lucas and Luna dive into the hidden cost of fast reads: write amplification. Using a specific look at how B-tree indexes multiply disk writes during bulk inserts, they explain why your database slows down when you try to keep it organized. This episode breaks down the mechanics of index maintenance, showing why every additional index layer increases storage IO by three or four times. With concrete examples from modern cloud infrastructure as of September ninth twenty twenty six, listeners will learn how to balance read speed against write overhead, avoiding the silent performance killer that plagues high-throughput applications. #DatabaseEngineering #WriteAmplification #BTreeIndexes #CloudInfrastructure #DataStorage #PerformanceOptimization #SystemDesign #TechTalks #FexingoBusiness #BusinessPodcast #LucasAndLuna #SQL #NoSQL #DiskIO #SoftwareArchitecture #TechTrends2026 #DataScience #EngineeringTips Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • The Silent Killer of Database Performance

    The Silent Killer of Database Performance
    2026/09/08
    Lucas and Luna explore how index bloat silently degrades database performance, turning fast queries into sluggish experiences. They examine the mechanics of write amplification, the hidden costs of maintaining too many indexes, and practical strategies for monitoring and pruning unused or redundant indices in modern cloud environments. This episode offers concrete advice for engineers managing high-traffic applications. #DatabasePerformance #IndexBloat #WriteAmplification #CloudCosts #DataEngineering #SQLOptimization #NoSQL #TechCareers #FexingoBusiness #BusinessPodcast #SoftwareDevelopment #SystemDesign #DatabaseAdmin #QueryPlanning #StorageEngines #TechStrategy #ITInfrastructure #DigitalTransformation Keep every episode free: buymeacoffee.com/fexingo
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    11 分
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