InTowards Data EngineeringbyAliakbar Hosseinzadeh·6d agoPostgreSQL in Production: Scaling, High Availability, and Lessons from Real FailuresFrom slow queries and replication lag to connection pooling, failover, partitioning, and sharding — a practical guide to building…
InTowards AIbyAliakbar Hosseinzadeh·Nov 4PySpark Finally Made Sense When I Stopped Thinking Like a Python DeveloperOne practical story to understand Apache Spark, remember its architecture, and prepare for data engineering interviews.A response icon1A response icon1
InPython in Plain EnglishbyAliakbar Hosseinzadeh·Oct 23Pydantic in Python: The Difference Between Receiving Data and Trusting ItUnderstanding Pydantic V2 through practical Python examples, data validation, and lessons that matter in real projects.A response icon1A response icon1
InTowards Data EngineeringbyAliakbar Hosseinzadeh·Oct 19Vector Databases: When Search Needs Meaning, Not Just KeywordsWhat vector databases actually solve, how they work, and when you should use one.A response icon1A response icon1
Aliakbar Hosseinzadeh·Oct 13Kafka Streams: What It Actually Solves and When It Makes SenseUnderstanding KStream, KTable, stateful processing, exactly-once semantics, and when to choose Kafka Streams over Flink or Spark.A response icon1A response icon1
Aliakbar Hosseinzadeh·Oct 9Makefile: A Simple Tool That Makes Software Projects Easier to RunLess guessing, fewer commands, and better documentation.A response icon1A response icon1
InData Science CollectivebyAliakbar Hosseinzadeh·Oct 8Data Engineering Is More Than ETL: What Exploratory Data Analysis Taught Me About Data QualityFrom missing values and outliers to trustworthy pipelines: practical lessons in EDA, and statistics.A response icon1A response icon1
Aliakbar Hosseinzadeh·Oct 5The Invisible World of Wi-Fi: Understanding RF, Electromagnetic Waves, and How Wireless Networks…A simple journey from invisible radio waves to Wi-Fi 7, channels, interference, dBm, OFDMA, and the physics happening around us every…
InTowards Data EngineeringbyAliakbar Hosseinzadeh·Sep 28Apache Kafka: Core Concepts, Architecture, and Real-Time PipelinesA practical guide to topics, partitions, producers, consumers, KRaft, reliability, CDC, Kafka Connect, Schema Registry, and real-time data…A response icon2A response icon2
InTowards Data EngineeringbyAliakbar Hosseinzadeh·Sep 25When Data Pipelines Fail: What I Learned About Building Reliable Data SystemsFrom data quality checks to production debugging, monitoring, and AI-assisted engineering.A response icon2A response icon2
