Advanced SQL
PostgreSQL is an enterprise-class open-source database management system. It supports both SQL and JSON for relational and non-relational queries for extensibility and SQL compliance.
PostgreSQL supports advanced data types and performance optimization features, which are only available in expensive commercial databases, like Oracle and SQL Server. It is also known as Postgres.
PostgreSQL has earned a strong reputation for its proven architecture, reliability, data integrity, robust feature set, extensibility, and the dedication of the open-source community behind the software to consistently deliver performant and innovative solutions.
PostgreSQL runs on all major operating systems, has been ACID-compliant since 2001, and has powerful add-ons such as the popular Post GIS geospatial database extender. It is no surprise that PostgreSQL has become the open-source relational database of choice for many people and organisations.
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Skills Covered
- Utilize psql and SQL commands to implement CRUD (Create, Read, Update, and Delete) operations for tables in a PostgreSQL database.
- Identify and utilize the functions of primary, logical, and foreign keys within a database.
- Build and differentiate between one-to-many and many-to-many relationships within PostgreSQL.
- Recall key people, organizations, and innovations that were instrumental to building the SQL standard
- DynamoDB – It is cloud-native in that it does not run on-premises or even in a hybrid cloud; it only runs on Amazon Web Services (AWS). This enables it to scale as needed without requiring a customer’s capital investment in hardware
- DynamoDB is NoSQL in that it does not support ANSI Structured Query Language (SQL). Instead, it uses a proprietary API based on JavaScript Object Notation (JSON).
- DynamoDB is primarily a key-value store in the sense that its data model consists of key-value pairs in a schemeless, very large, non-relational table of rows (records).
- Amazon Redshift is a fully managed data warehouse service in the cloud. Its datasets range from 100s of gigabytes to a petabyte. Amazon Redshift allows you to store and query large volumes of analytical data.
Key Features
- Helps developers to build applications.
- It allows administrators to build fault-tolerant environment by protecting data integrity.
- Compatible with various platforms using all major languages and middleware.
- It offers a most sophisticated locking mechanism.
- Support for multi-version concurrency control.
- Mature Server-Side Programming Functionality.
- Compliant with the ANSI SQL standard.
- Full support for client-server network architecture.
- Log-based and trigger-based replication SSL.
- Standby server and high availability.
- Object-oriented and ANSI-SQL2008 compatible.
- Support for JSON allows linking with other data stores like NoSQL which act as a federated hub for polyglot databases.
Benefits
- PostgreSQL can run dynamic websites and web apps as a LAMP stack option.
- PostgreSQL’s write-ahead logging makes it a highly fault-tolerant database.
- PostgreSQL source code is freely available under an open-source license. This allows you the freedom to use, modify, and implement it as per your business needs.
- PostgreSQL supports geographic objects so you can use it for location-based services and geographic information systems.
- PostgreSQL supports geographic objects so it can be used as a geospatial data store for location-based services and geographic information systems.
- To learn Postgres, you don’t need much training as it’s easy to use.
- Low maintenance and administration for both embedded and enterprise use of PostgreSQL.
Curriculum
- Introduction to RDBMS Concepts
- Basics of SQL
- Advanced Queries
- OLAP ,OLTP and Recursion
- Relational Database
- Databases: Index, transactions
- Databases: Constraints, triggers, views, Authorization
- NoSQL
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