دانلود کتاب سفر اکتشافی در دنیای پایگاه‌های داده: بررسی پایگاه‌های داده برداری، سری زمانی، گرافی، ستونی (OLAP) و مکانی-جغرافیایی در محیط واقعی

Over the past two decades, the landscape of data has dramatically changed. Traditional business records and transactional data have been joined by an explosion of new formats. These include metrics and logs from monitoring systems and IoT devices (e.g., InfluxDB, Prometheus), embeddings and high-dimensional vectors powering modern machine learning and recommendation engines (like Milvus or Pinecone), social graphs capturing billions of relationships between users, products, or events (e.g., Neo4j), event streams representing continuous _lows of transactions and interactions (Kafka, AWS Kinesis), and geospatial data from GPS devices, maps, and location-aware applications (e.g., PostGIS). And the list goes on. This diversity of data types has created new challenges for engineers. Volumes are unprecedented, access patterns are highly varied, and workloads differ widely. Some require low-latency writes at massive scale, others demand complex relationship queries across interconnected records, and still others rely on fast aggregations over billions of points. For decades, relational databases were the default solution for storing and querying data. As applications grew in scale and diversity, NoSQL systems—including document stores, key-value engines, and wide-column databases—emerged, offering horizontal scalability and flexible schemas. While these general-purpose systems handle many workloads effectively, they may fall short when domain-specific performance or query models are required. Specialized databases _ill this gap. Each is designed for a particular type of data and workload, complementing rather than replacing general-purpose systems, and making deliberate choices in storage, indexing, compression, and query execution to optimize for its domain. This book provides a high-level overview of these systems, highlighting their capabilities and real world use cases so you can understand why they exist and when they might be the right tool for your system.