442 posts · page 3 of 10
Build a calculator from scratch — learn infix, prefix, and postfix notation, the Shunting Yard algorithm, postfix evaluation, and Python implementation.
Master the monotonic stack pattern — solve Next Greater Element, Next Smaller, stock span, and circular array variants with Python templates and visual walkthroughs.
Master subarray sum techniques — prefix sum for range queries, Kadane's algorithm for maximum subarray, hash map for subarray sum equals K, sliding window, and maximum product subarray.
Master topological sorting with Kahn's BFS and DFS approaches. Solve course scheduling, build dependencies, alien dictionary, and longest path in DAG problems.
Build binary trees from inorder + preorder, inorder + postorder, and preorder + postorder. Hashmap optimization, edge cases, and Python recursive solutions.
Find the diameter of a binary tree using DFS, solve maximum path sum, and understand the two-BFS approach for general trees. Full Python implementations.
Serialize binary trees to strings and deserialize them back. BFS and DFS approaches with null handling, Python implementations, and real-world uses.
Master opposite-direction, same-direction, and fast-slow two pointer patterns. Includes templates, container with most water, cycle detection, and sort colors.
Master the Z-algorithm for pattern matching in O(n) time. Learn Z-array construction, the Z-box optimization, and applications like finding string periods and distinct substrings.
Learn Apache Spark: RDDs, DataFrames, SparkSQL, the execution model, PySpark basics, platform comparisons, and essential performance optimization tips.
Learn the five pillars of data observability, anomaly detection, lineage tracking, incident response, and tools like Elementary, Monte Carlo, and Soda.
Build CI/CD workflows for data pipelines: lint SQL, validate DAGs, run tests, deploy dbt models, and manage dev/staging/prod environments.
Learn the data testing pyramid, unit testing transformations, contract testing between stages, and how to build reliable CI/CD test suites for pipelines.
Master dbt (data build tool): project structure, models, materializations, testing, Jinja templating, and how dbt became the standard for analytics engineering.
Understand the architecture of Apache Airflow -- Scheduler, Web Server, Metadata Database, Executors, and Workers -- and learn which executor fits your workload.
Master Airflow connections for external system credentials and variables for runtime configuration, including secrets backends for production deployments.
Learn how to implement conditional workflows in Airflow using BranchPythonOperator, ShortCircuitOperator, trigger rules, and the TaskFlow branch decorator.
Master Apache Airflow operators from BashOperator to building your own custom operators with template fields and provider packages.
Learn how Airflow sensors pause tasks until conditions are met, including poke vs reschedule modes, custom sensors, and deferrable operators.
Understand Airflow XComs for inter-task communication including push/pull patterns, Jinja templates, size limits, and custom backends for production use.
Master the TaskFlow API with @dag and @task decorators, implicit XCom passing, dynamic task mapping, and dataset-aware scheduling in Airflow 2.0+.
Understand the difference between batch and stream processing, when to use each pattern, and how Lambda and Kappa architectures combine them.
Understand the differences between data lakes, data warehouses, and the modern lakehouse architecture — when to use each and how they work together.
A comprehensive guide to the modern data engineering tool landscape — ingestion, transformation, orchestration, storage, quality, and governance tools.
Learn Kimball, Inmon, and Data Vault modeling approaches for analytics — star schemas, normalized models, and modern patterns like the Activity Schema.
Learn the six dimensions of data quality, how to implement quality checks with Great Expectations and dbt, and the pillars of data governance.
Learn the fundamentals of data warehousing — star schemas, snowflake schemas, fact tables, dimension tables, and slowly changing dimensions with examples.
Master Kafka Connect for integrating external systems with Kafka using source and sink connectors, Debezium CDC, JDBC, Elasticsearch, REST API management, and SMTs.
A detailed look at Kafka's internal architecture — broker clusters, KRaft consensus, replication protocols, partition leadership, log segments, and how they combine to deliver fault tolerance at scale.
Master Kafka consumers and consumer groups including poll loops, offset management, rebalancing strategies, and partition assignment with Python and Java examples.
Learn how Kafka producers work including batching, partitioning, serialization, delivery guarantees, and idempotent production with Python and Java examples.
Learn how Confluent Schema Registry manages Avro schemas for Kafka producers and consumers, enabling safe schema evolution and decoupled services.
Learn to binary search on the answer space — the powerful technique behind problems like splitting arrays, Koko eating bananas, and capacity to ship packages.
Master the Floyd-Warshall algorithm — understand the DP recurrence, implement it in Python, detect negative cycles, and know when to pick it over Dijkstra.
Learn graph coloring fundamentals — check if a graph is bipartite using BFS/DFS, solve m-coloring with backtracking, and tackle classic interview problems.
Master the Knuth-Morris-Pratt algorithm — build the failure function, avoid redundant comparisons, and solve pattern matching problems in O(n + m) time.
Learn the monotonic stack technique — next greater element, stock span, largest rectangle, and trapping rain water solved with clean Python templates.
Deep dive into database indexing — B-trees, hash indexes, composite indexes, covering indexes, partial indexes, and when each strategy wins or hurts performance.
Design a distributed unique ID generator — compare UUIDs, Snowflake IDs, database tickets, and ULID for generating globally unique, sortable identifiers at scale.
Go beyond basic match with pattern guards, bindings, nested patterns, or-patterns, and real-world refactoring strategies in Rust.
Master BuildKit's cache mounts, secret mounts, SSH forwarding, and parallel builds to speed up Docker image creation and keep secrets out of layers.
Learn how DaemonSets run exactly one pod per node for logging, monitoring, and networking agents. Includes tolerations and update strategies.
Understand PersistentVolumes, PersistentVolumeClaims, and StorageClasses to give your Kubernetes workloads reliable, portable storage.
Build modal patterns in Next.js using intercepting routes. Learn the (.) convention, combining with parallel routes, and handling hard refreshes.
Master the next/image component with advanced optimization strategies including responsive images, blur placeholders, CDN configuration, and performance tips.
Implement authentication middleware in Next.js to protect routes, redirect unauthenticated users, and manage JWT or session-based auth at the edge.
Learn how to render multiple pages simultaneously in the same layout using Next.js parallel routes and the @folder naming convention.
Handle file uploads in Next.js using server actions. Covers FormData, validation, cloud storage integration, progress tracking, and error handling.