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Manning SQL Server Series

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SQL Server: SQL Server PowerShell, dbatools, Microsoft SQL, Azure SQL Server, T-SQL (Transact-SQL), T-SQL keywords, SQL Reserved Words, SQL Server glossary, SQL Server GitHub, SQL Server 2022, SQL Server 2019, SQL Server 2017, SQL Server 2014, SQL Server 2012, SQL Server on Kubernetes, SQL Server on Containers, SQL Server on Linux, Awesome SQL Server (navbar_sqlserver - see also navbar_dbatools — MERGE navbar_sqlserver and navbar_sql_server and replace navbar_sql_server on all articles)

SQL: SQL Fundamentals, SQL Inventor - SQL Language Designer: Donald D. Chamberlin and Raymond F. Boyce from IBM San Jose Research Laboratory in 1974 after learning about the relational model from Edgar F. Codd; SQL DevOps - SQL SRE, Cloud Native SQL (SQL on Kubernetes - SQL on AWS - SQL on Azure - SQL on GCP - SQL on Mainframe), SQL Microservices, SQL Containerization (SQL Docker - SQL on Docker Hub), Serverless SQL, SQL Data Science - SQL DataOps - SQL and Databases (SQL ORM), SQL ML - SQL DL, Database - Database Fundamentals, Relational Databases (Oracle Database, MySQL, SQL Server (T-SQL - Transact-SQL), PostgreSQL, IBM Db2, Azure SQL Database, Snowflake, Google BigQuery, Google BigTable, SQLite), Functional SQL (1. SQL Immutability, 2. SQL Purity - SQL No Side-Effects, 3. SQL First-Class Functions - SQL Higher-Order Functions, SQL Lambdas - SQL Anonymous Functions - SQL Closures, SQL Lazy Evaluation, 4. SQL Recursion), Reactive SQL), SQL Concurrency SQL and ACID - SQL Parallel Programming - Async SQL, SQL Networking, SQL Security - SQL DevSecOps - SQL OAuth, SQL Memory Allocation (SQL Heap - SQL Stack - SQL Garbage Collection), SQL CI/CD - SQL Dependency Management - SQL DI - SQL IoC - SQL Build Pipeline, SQL Automation - SQL Scripting, SQL Package Managers, SQL Modules - SQL Packages, SQL Installation (SQL Windows - Chocolatey SQL, SQL macOS - Homebrew SQL, SQL on Linux), SQL Configuration, SQL Observability (SQL Monitoring, SQL Performance - SQL Logging), SQL Language Spec - SQL RFCs - SQL Roadmap, SQL Keywords, SQL Operators, SQL Functions, SQL Data Structures - SQL Algorithms, SQL Syntax, SQL OOP (1. SQL Encapsulation - 2. SQL Inheritance - 3. SQL Polymorphism - 4. SQL Abstraction), SQL Design Patterns - SQL Best Practices - SQL Style Guide - Clean SQL - SQL BDD, SQL Generics, SQL I/O, SQL Serialization - SQL Deserialization, SQL APIs, SQL REST - SQL JSON - SQL GraphQL, SQL gRPC, SQL Virtualization, SQL Development Tools: SQL SDK, SQL Compiler - SQL Transpiler, SQL Interpreter - SQL REPL, SQL IDEs - Database IDEs (JetBrains DataSpell, SQL Server Management Studio, MySQL Workbench, Oracle SQL Developer, SQLiteStudio, JetBrains SQL, SQL Visual Studio Code), SQL Linter, SQL Community - SQLaceans - SQL User, SQL Standard Library - SQL Libraries - SQL Frameworks, SQL Testing - SQL TDD, SQL History, SQL Research, SQL Topics, SQL Uses - List of SQL Software - Written in SQL - SQL Popularity, SQL Bibliography - Manning SQL Series - Manning Data Science Series - SQL Courses, SQL Glossary - SQL Official Glossary, SQL GitHub, Awesome SQL. (navbar_sql and navbar_database)

Data Science: Fundamentals of Data Science, DataOps, Big Data, Data Science IDEs (Jupyter Notebook, JetBrains DataGrip, Google Colab, JetBrains DataSpell, SQL Server Management Studio, MySQL Workbench, Oracle SQL Developer, SQLiteStudio), Data Science Tools (SQL, Apache Arrow, Pandas, NumPy, Dask, Spark, Kafka); Data Science Programming Languages (Python Data Science, NumPy Data Science, R Data Science, Java Data Science, C++ Data Science, MATLAB Data Science, Scala Data Science, Julia Data Science, Excel Data Science (Excel is the most popular "programming language") - Google Sheets, SAS Data Science, C# Data Science, Golang Data Science, JavaScript Data Science, Kotlin Data Science, Ruby Data Science, Rust Data Science, Swift Data Science, TypeScript Data Science, Bash Data Science); Databases, Data, Augmentation, Analysis, Analytics, Archaeology, Cleansing, Collection, Compression, Corruption, Curation, Degradation, Editing (EmEditor), Data engineering, ETL/ ELT ( Extract- Transform- Load), Farming, Format management, Fusion, Integration, Integrity, Lake, Library, Loss, Management, Migration, Mining, Pre-processing, Preservation, Protection (privacy), Recovery, Reduction, Retention, Quality, Science, Scraping, Scrubbing, Security, Stewardship, Storage, Validation, Warehouse, Wrangling/munging. ML-DL - MLOps. Data science history, Data Science Bibliography, Manning Data Science Series, Data science Glossary, Data science topics, Data science courses, Data science libraries, Data science frameworks, Data science GitHub, Data Science Awesome list. (navbar_datascience - see also navbar_python, navbar_numpy, navbar_data_engineering and navbar_database)

Manning Publications: Manning Books Purchased by Cloud Monk, Manning Books Series, Manning Bibliography, In a Month of Lunches, In Action, Manning API Series, Manning "Functional Programming in" Series, Manning Concurrency Async Multithreaded Parallel Programming Series, Manning Grokking Series, Manning Java-JVM Languages Series (Manning Java Series, Manning Kotlin Series), Manning JavaScript Series, Manning TypeScript Series, Manning Microservices Series, Manning Python Series, Manning Security Series, Manning Spring Series, Manning SQL Series, Manning Database Series, Manning Data Science Series, Manning Mistakes and How to Avoid Them Series, Manning Books that were Cancelled, MEAP, Cloud Monk's Book Purchases, Cloud Monk Library. (navbar_manning)

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