Deepen your Java expertise by mastering the Collections Framework, Generics, Concurrent Data Structures, Thread synchronization, Executor Framework, Functional Programming, and JDBC database access.
High-throughput enterprise applications rely heavily on efficient data structures and safe multi-threaded concurrency. Knowing when to use a ConcurrentHashMap versus a CopyOnWriteArrayList can determine system performance under peak load.
In this advanced course, you will write concurrent code, manage thread pools with ExecutorService, process in-memory collections using Java Streams API (filter, map, reduce, collect), and execute relational SQL transactions via JDBC.
Generics (<T>, Bounded Wildcards). List (ArrayList, LinkedList), Set (HashSet, TreeSet), Map (HashMap, TreeMap, LinkedHashMap) internals. Equals and HashCode contract.
Creating threads (Thread class vs Runnable interface). Thread Lifecycle, Synchronization, Lock objects, Volatile keyword, Deadlocks, ExecutorService, Callable, and Future objects.
Functional Interfaces (@FunctionalInterface, Predicate, Function, Consumer, Supplier). Lambda syntax, Method references, Stream operations (filter, map, flatMap, reduce, collectors, parallelStreams).
JDBC Architecture: DriverManager, Connection, Statement, PreparedStatement (preventing SQL injection), ResultSet parsing, Transaction management (commit & rollback), and Connection Pooling (HikariCP).
