Table of Contents
Big Data - Data Science Topics
Compare and sync with Database topics
Return to Data Science Bibliography, IT Topics, Database Topics, Topics, Big Data, Data Science or Databases
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- SQL SELECT - Retrieve Data - Retrieves database rows from an SQL database and enables selection of one or many rows to an SQL table or SQL view
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- SQL CREATE - Enables creating an item in SQL Server. e.g. SQL database, SQL table, SQL view, SQL users, SQL index, and more
- SQL ALTER - Enables modifying an existing SQL data object. e.g. SQL database, SQL table, SQL view, and more
- SQL DROP - Removes an existing SQL data object
- SQL Collations - Defines the collation of an SQL database or SQL table column, or a SQL collation case operation when applied to an SQL character string expression
- SQL ENABLE TRIGGER - Enables an SQL trigger such as a DML trigger], [[DDL trigger, or SQL login trigger. an SQL trigger is an SQL stored procedure that automatically runs when an SQL event occurs in the server.
- SQL DISABLE TRIGGER - Disables an SQL trigger
- SQL RENAME - Renames a user-created SQL table in Azure SQL Data Warehouse or a user-created SQL table or SQL database in Parallel Data Warehouse
- SQL USE - Changes the SQL database context to the specified SQL database or SQL database snapshot in the SQL Server. This does not apply to Azure SQL Database or Azure SQL Data Warehouse
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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 Plus Plus 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 Sharp Data Science | 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 (computing) | Data, Data augmentation | Augmentation, Data analysis | Analysis, Data analytics | Analytics, Data archaeology | Archaeology, Data cleansing | Cleansing, Data collection | Collection, Data compression | Compression, Data corruption | Corruption, Data curation | Curation, Data degradation | Degradation, Data editing | Editing (EmEditor), Data engineering, Extract, transform, load | ETL/Extract, load, transform | ELT (Data extraction | Extract-Data transformation | Transform-Data loading | Load), Data farming | Farming, Data format management | Format management, Data fusion | Fusion, Data integration | Integration, Data integrity | Integrity, Data lake | Lake, Data library | Library, Data loss | Loss, Data management | Management, Data migration | Migration, Data mining | Mining, Data pre-processing | Pre-processing, Data preservation | Preservation, Information privacy | Protection (privacy), Data recovery | Recovery, Data reduction | Reduction, Data retention | Retention, Data quality | Quality, Data science | Science, Data scraping | Scraping, Data scrubbing | Scrubbing, Data security | Security, Data steward | Stewardship, Data storage | Storage, Data validation | Validation, Data warehouse | Warehouse, Data wrangling | 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)
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