The SQL Master Class for Java Developers training is aimed to level up your SQL skills with techniques such as Window Functions, recursive queries, Pivoting, JSON process... [+]
Throughout four years of teaching my High-Performance Java Persistence course, I came to realize that there is so much Java developers can learn about the latest SQL features introduced by Oracle, SQL Server, PostgreSQL, or MySQL.This training spans over the course of 2 days and covers the Top 4 relational database systems: Oracle, SQL Server, PostgreSQL, and MySQL.From execution plans to the best way to paginate data, this training explains lesser-known techniques such as LATERAL JOIN, CROSS APPLY, as well as Derived Tables, Common Table Expressions, recursive queries, and the amazing Window Functions, PIVOT, or UPSERT statements.Last but not least, we are going to learn that, not only modern databases support JSON column types, but you can combine JSON structures with the traditional relational ones, therefore getting the best of both worlds.All examples are inspired by real-life scenarios, and they come in a GitHub repository for which attendees have exclusive and unlimited time access.At the end of these two days of training, the attendees will be better prepared to solve various data-intensive tasks using all these awesome SQL features that have been over the past 20 years.Agenda
Day 1Introduction - 1h 30m - Beyond SQL:92 - SQL Parsing - SQL Operation Order - TOP-N queries - OFFSET pagination - Keyset PaginationSubqueries - 1h 15m - EXISTS and NOT EXISTS - IN and NOT IN - ANY and ALL - INSERT with subqueries - Aggregation with subqueries Joins - 1h 15m - CROSS JOIN - INNER and LEFT/RIGHT OUTER JOIN - FULL OUTER JOIN - NATURAL JOIN - LATERAL JOIN and CROSS APPLYDay 2Window Functions - 1h 30m - Analytics queries and window frame processing - ROW_NUMBER, RANK, and DENSE_RANK - FIRST_VALUE, LAST_VALUE, LEAD and LAG - CUME_DIST and PERCENT_RANK - PERCENTILE_DISC and PERCENTILE_CONTDerived Tables, CTE, Hierarchical Queries - 1h 30m - Derived Tables - CTE (Common Table Expressions) - Recursive CTE - Hierarchical queries PIVOT, UNPIVOT, FILTER, and CASE - 1h - CASE Expressions - PostgreSQL FILTER Expressions - PIVOT - UNPIVOTDay 3UPSERT and MERGE - 30m- MERGE statements- UPSERT statements JSON processing - 1h 30m - Schemaless data structures and JSON - JSON queries - EAV Model Transactions and Concurrency Control - 2h - ACID, 2PL, MVCC - Isolation Levels and anomalies - Pessimistic and optimistic locking - SKIP_LOCKED, NOWAIT [-]
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