Introducing NoSQL and MongoDB to complement Relational Databases (AMIS SIG 14...Lucas Jellema
This presentation gives an brief overview of the history of relational databases, ACID and SQL and presents some of the key strentgths and potential weaknesses. It introduces the rise of NoSQL - why it arose, what is entails, when to use it. The presentation focuses on MongoDB as prime example of NoSQL document store and it shows how to interact with MongoDB from JavaScript (NodeJS) and Java.
The document discusses NoSQL databases and their advantages compared to SQL databases. It defines NoSQL as any database that is not relational and describes the main categories of NoSQL databases - key-value stores, document databases, wide column stores like BigTable, and graph databases. It also covers common use cases for different NoSQL databases and examples of companies using NoSQL technologies like MongoDB, Cassandra, and HBase.
This talk will cover lessons learned at Community Engine regarding MongoDB, including: why we moved away from an Hybrid solution using SQL and MongoDB; an outline of the technologies and what we learned using MongoDB on Amazon Web Services; the MongoDB C# driver; MongoDB with SOLR for Full Text Search; how we do migration, deployment and more.
The key points covered during the presentation were:
• An overview of PostgreSQL and Advanced Server
• EnterpriseDB’s support of community PostgreSQL including add-ons & support
• A high-level feature comparison of PostgreSQL and Advanced Server
• Working with Oracle and Advanced Server
• Summary characteristics for choosing one database or the other
If you have any questions please email [email protected].
QuerySurge Slide Deck for Big Data Testing WebinarRTTS
This is a slide deck from QuerySurge's Big Data Testing webinar.
Learn why Testing is pivotal to the success of your Big Data Strategy .
Learn more at www.querysurge.com
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data, Hadoop and NoSQL. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse - all with one ETL testing tool.
This information is geared towards:
- Big Data & Data Warehouse Architects,
- ETL Developers
- ETL Testers, Big Data Testers
- Data Analysts
- Operations teams
- Business Intelligence (BI) Architects
- Data Management Officers & Directors
You will learn how to:
- Improve your Data Quality
- Accelerate your data testing cycles
- Reduce your costs & risks
- Provide a huge ROI (as high as 1,300%)
This document provides an overview of Postgresql, including its history, capabilities, advantages over other databases, best practices, and references for further learning. Postgresql is an open source relational database management system that has been in development for over 30 years. It offers rich SQL support, high performance, ACID transactions, and extensive extensibility through features like JSON, XML, and programming languages.
Postgres for Digital Transformation:NoSQL Features, Replication, FDW & MoreAshnikbiz
This document discusses how PostgreSQL can enable digital transformation. It notes that digital transformation involves developing new types of products/services rather than just enhancing existing systems, moving to microservices architectures, and adopting data platforms. It then outlines how PostgreSQL supports these changes through its document store capabilities, foreign data wrappers for integration with other data sources, replication server for high availability, and containerized deployment options. Case studies are presented showing how enterprises have realized performance improvements, cost savings, and near real-time data exchange using PostgreSQL's unified relational and non-relational features.
The Real Scoop on Migrating from Oracle DatabasesEDB
During this presentation you will be provided with actionable guidelines to:
• Identify the right applications to migrate
• Easily and safely migrate your applications
• Leverage resources before, during and after your migration
• Learn how to achieve independence from Oracle databases - without sacrificing performance.
Recent advances in Postgres have propelled the database forward to meet today’s data challenges. At some of the world’s largest companies, Postgres plays a major role in controlling costs and reducing dependence on traditional providers.
This presentation addresses:
* What workloads are best suited for introducing Postgres into your environment
* The success milestones for evaluating the ‘when and how’ of expanding Postgres deployments
* Key advances in recent Postgres releases that support new data types and evolving data challenges
This presentation is intended for strategic IT and Business Decision-Makers involved in data infrastructure decisions and cost-savings.
The document discusses different workflows for using Entity Framework to access and manage data, including model first, database first, and code first approaches. It also covers using Entity Framework with WCF Data Services to expose data via OData endpoints. Key topics include entity data models, reverse engineering databases, defining mappings, and generating databases from code using migrations. Live demos are provided for database first and code first workflows as well as creating and consuming a WCF Data Services API.
The document provides an introduction to database management systems (DBMS). It discusses what a database is and the key components of a DBMS, including data, information, and the database management system itself. It also summarizes common database types and characteristics, as well as the purpose and advantages of using a database system compared to traditional file processing.
When it comes time to select database software for your project, there are a bewildering number of choices. How do you know if your project is a good fit for a relational database, or whether one of the many NoSQL options is a better choice?
In this webinar you will learn when to use MongoDB and how to evaluate if MongoDB is a fit for your project. You will see how MongoDB's flexible document model is solving business problems in ways that were not previously possible, and how MongoDB's built-in features allow running at scale.
Topics covered include:
Performance and Scalability
MongoDB's Data Model
Popular MongoDB Use Cases
Customer Stories
Introduction to MongoDB Basics from SQL to NoSQLMayur Patil
This document provides an introduction to databases and MongoDB. It discusses the purpose of databases, types of databases including relational and non-relational, and the relational model. It then focuses on MongoDB, describing its basics like JSON and BSON storage formats, CRUD terms, features around performance, availability and scaling, and some limitations. Popular applications of databases are also listed.
PostgreSQL Extension APIs are Changing the Face of Relational Databases | PGC...Teresa Giacomini
PostgreSQL is becoming the relational database of choice. An important factor in the rising popularity of Postgres is the extension APIs that allow developers to improve any database module’s behavior. As a result, Postgres users have access to hundreds of extensions today.
In this talk, we're going to first describe extension APIs. Then, we’re going to present four popular Postgres extensions, and demo their use.
* PostGIS turns Postgres into a spatial database through adding support for geographic objects.
* HLL & TopN add approximation algorithms to Postgres. These algorithms are used when real-time responses matter more than exact results.
* pg_partman makes managing partitions in Postgres easy. Through partitions, Postgres provide 5-10x higher performance for time-series data.
* Citus transforms Postgres into a distributed database. To do this, Citus shards data, performs distributed deadlock detection, and parallelizes queries.
Finally, we’ll conclude with why we think Postgres sets the way forward for relational databases.
PostgreSQL is becoming the relational database of choice. One important factor in the rising popularity of Postgres are the extension APIs. These APIs allow developers to extend any database sub-module’s behavior for higher performance, security, or new functionality. As a result, Postgres users have access to over a hundred extensions today, and more to come in the future.
In this talk, I’m going to first describe PostgreSQL’s extension APIs. These APIs are unique to Postgres, and have the potential to change the database landscape. Then, we’re going to present the four most popular Postgres extensions, show the use cases where they are applicable, and demo their usage.
PostGIS turns Postgres into a spatial database. It adds support for geographic objects, allowing location queries to be run in SQL.
HyperLogLog (HLL) & TopN add approximation algorithms to Postgres. These sketch algorithms are used in distributed systems when real-time responses to queries matter more than exact results.
pgpartman makes creating and managing partitions in Postgres easy. Through careful partition management with pgpartman, Postgres offers 5-10x higher write and query performance for time-series data.
Citus transforms Postgres into a distributed database. Citus transparently shards and replicates data, performs distributed deadlock detection, and parallelizes queries.
After demoing these popular extensions, we’ll conclude with why we think the monolithic relational database is dying and how Postgres sets a path for the future. We’ll end the talk with a Q&A.
This chapter discusses software development security. It covers topics like programming concepts, compilers and interpreters, procedural vs object-oriented languages, application development methods like waterfall vs agile models, databases, object-oriented design, assessing software vulnerabilities, and artificial intelligence techniques. The key aspects are securing the entire software development lifecycle from initial planning through operation and disposal, using secure coding practices, testing for vulnerabilities, and continually improving processes.
The document provides information about the speaker's background as a MySQL DBA and describes some of their responsibilities in that role. It then defines what a database administrator does, such as installing and upgrading database servers, managing storage, security, performance, and backups. Finally, it briefly outlines the history and evolution of database concepts from the 1960s to present.
The document discusses NoSQL technologies including Cassandra, MongoDB, and ElasticSearch. It provides an overview of each technology, describing their data models, key features, and comparing them. Example documents and queries are shown for MongoDB and ElasticSearch. Popular use cases for each are also listed.
Transform your DBMS to drive engagement innovation with Big DataAshnikbiz
This document discusses how organizations can save money on database management systems (DBMS) by moving from expensive commercial DBMS to more affordable open-source options like PostgreSQL. It notes that PostgreSQL has matured and can now handle mission critical workloads. The document recommends partnering with EnterpriseDB to take advantage of their commercial support and features for PostgreSQL. It highlights how customers have seen cost savings of 35-80% by switching to PostgreSQL and been able to reallocate funds to new business initiatives.
Technical feature review of features introduced by MongoDB 3.4 on graph capabilities, MongoDB UI tool: Compass, improvements on the replication and aggregation framework stages and utils. Operations improvements on Ops Manager and MongoDB Atlas.
Conceptos básicos. Seminario web 6: Despliegue de producciónMongoDB
Este es el último seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. En este seminario web le guiaremos por el despliegue en producción.
Traackr evaluated several NoSQL database options to store its heterogeneous, unstructured web data. Document databases were the best fit due to their flexibility to store variable length text like tweets and blog posts without predefined schemas. MongoDB was selected due to its maturity, adoption, and support for ad-hoc queries and batch processing needed by Traackr in early 2010.
This document provides an overview of Postgresql, including its history, capabilities, advantages over other databases, best practices, and references for further learning. Postgresql is an open source relational database management system that has been in development for over 30 years. It offers rich SQL support, high performance, ACID transactions, and extensive extensibility through features like JSON, XML, and programming languages.
Postgres for Digital Transformation:NoSQL Features, Replication, FDW & MoreAshnikbiz
This document discusses how PostgreSQL can enable digital transformation. It notes that digital transformation involves developing new types of products/services rather than just enhancing existing systems, moving to microservices architectures, and adopting data platforms. It then outlines how PostgreSQL supports these changes through its document store capabilities, foreign data wrappers for integration with other data sources, replication server for high availability, and containerized deployment options. Case studies are presented showing how enterprises have realized performance improvements, cost savings, and near real-time data exchange using PostgreSQL's unified relational and non-relational features.
The Real Scoop on Migrating from Oracle DatabasesEDB
During this presentation you will be provided with actionable guidelines to:
• Identify the right applications to migrate
• Easily and safely migrate your applications
• Leverage resources before, during and after your migration
• Learn how to achieve independence from Oracle databases - without sacrificing performance.
Recent advances in Postgres have propelled the database forward to meet today’s data challenges. At some of the world’s largest companies, Postgres plays a major role in controlling costs and reducing dependence on traditional providers.
This presentation addresses:
* What workloads are best suited for introducing Postgres into your environment
* The success milestones for evaluating the ‘when and how’ of expanding Postgres deployments
* Key advances in recent Postgres releases that support new data types and evolving data challenges
This presentation is intended for strategic IT and Business Decision-Makers involved in data infrastructure decisions and cost-savings.
The document discusses different workflows for using Entity Framework to access and manage data, including model first, database first, and code first approaches. It also covers using Entity Framework with WCF Data Services to expose data via OData endpoints. Key topics include entity data models, reverse engineering databases, defining mappings, and generating databases from code using migrations. Live demos are provided for database first and code first workflows as well as creating and consuming a WCF Data Services API.
The document provides an introduction to database management systems (DBMS). It discusses what a database is and the key components of a DBMS, including data, information, and the database management system itself. It also summarizes common database types and characteristics, as well as the purpose and advantages of using a database system compared to traditional file processing.
When it comes time to select database software for your project, there are a bewildering number of choices. How do you know if your project is a good fit for a relational database, or whether one of the many NoSQL options is a better choice?
In this webinar you will learn when to use MongoDB and how to evaluate if MongoDB is a fit for your project. You will see how MongoDB's flexible document model is solving business problems in ways that were not previously possible, and how MongoDB's built-in features allow running at scale.
Topics covered include:
Performance and Scalability
MongoDB's Data Model
Popular MongoDB Use Cases
Customer Stories
Introduction to MongoDB Basics from SQL to NoSQLMayur Patil
This document provides an introduction to databases and MongoDB. It discusses the purpose of databases, types of databases including relational and non-relational, and the relational model. It then focuses on MongoDB, describing its basics like JSON and BSON storage formats, CRUD terms, features around performance, availability and scaling, and some limitations. Popular applications of databases are also listed.
PostgreSQL Extension APIs are Changing the Face of Relational Databases | PGC...Teresa Giacomini
PostgreSQL is becoming the relational database of choice. An important factor in the rising popularity of Postgres is the extension APIs that allow developers to improve any database module’s behavior. As a result, Postgres users have access to hundreds of extensions today.
In this talk, we're going to first describe extension APIs. Then, we’re going to present four popular Postgres extensions, and demo their use.
* PostGIS turns Postgres into a spatial database through adding support for geographic objects.
* HLL & TopN add approximation algorithms to Postgres. These algorithms are used when real-time responses matter more than exact results.
* pg_partman makes managing partitions in Postgres easy. Through partitions, Postgres provide 5-10x higher performance for time-series data.
* Citus transforms Postgres into a distributed database. To do this, Citus shards data, performs distributed deadlock detection, and parallelizes queries.
Finally, we’ll conclude with why we think Postgres sets the way forward for relational databases.
PostgreSQL is becoming the relational database of choice. One important factor in the rising popularity of Postgres are the extension APIs. These APIs allow developers to extend any database sub-module’s behavior for higher performance, security, or new functionality. As a result, Postgres users have access to over a hundred extensions today, and more to come in the future.
In this talk, I’m going to first describe PostgreSQL’s extension APIs. These APIs are unique to Postgres, and have the potential to change the database landscape. Then, we’re going to present the four most popular Postgres extensions, show the use cases where they are applicable, and demo their usage.
PostGIS turns Postgres into a spatial database. It adds support for geographic objects, allowing location queries to be run in SQL.
HyperLogLog (HLL) & TopN add approximation algorithms to Postgres. These sketch algorithms are used in distributed systems when real-time responses to queries matter more than exact results.
pgpartman makes creating and managing partitions in Postgres easy. Through careful partition management with pgpartman, Postgres offers 5-10x higher write and query performance for time-series data.
Citus transforms Postgres into a distributed database. Citus transparently shards and replicates data, performs distributed deadlock detection, and parallelizes queries.
After demoing these popular extensions, we’ll conclude with why we think the monolithic relational database is dying and how Postgres sets a path for the future. We’ll end the talk with a Q&A.
This chapter discusses software development security. It covers topics like programming concepts, compilers and interpreters, procedural vs object-oriented languages, application development methods like waterfall vs agile models, databases, object-oriented design, assessing software vulnerabilities, and artificial intelligence techniques. The key aspects are securing the entire software development lifecycle from initial planning through operation and disposal, using secure coding practices, testing for vulnerabilities, and continually improving processes.
The document provides information about the speaker's background as a MySQL DBA and describes some of their responsibilities in that role. It then defines what a database administrator does, such as installing and upgrading database servers, managing storage, security, performance, and backups. Finally, it briefly outlines the history and evolution of database concepts from the 1960s to present.
The document discusses NoSQL technologies including Cassandra, MongoDB, and ElasticSearch. It provides an overview of each technology, describing their data models, key features, and comparing them. Example documents and queries are shown for MongoDB and ElasticSearch. Popular use cases for each are also listed.
Transform your DBMS to drive engagement innovation with Big DataAshnikbiz
This document discusses how organizations can save money on database management systems (DBMS) by moving from expensive commercial DBMS to more affordable open-source options like PostgreSQL. It notes that PostgreSQL has matured and can now handle mission critical workloads. The document recommends partnering with EnterpriseDB to take advantage of their commercial support and features for PostgreSQL. It highlights how customers have seen cost savings of 35-80% by switching to PostgreSQL and been able to reallocate funds to new business initiatives.
Technical feature review of features introduced by MongoDB 3.4 on graph capabilities, MongoDB UI tool: Compass, improvements on the replication and aggregation framework stages and utils. Operations improvements on Ops Manager and MongoDB Atlas.
Conceptos básicos. Seminario web 6: Despliegue de producciónMongoDB
Este es el último seminario web de la serie Conceptos básicos, en la que se realiza una introducción a la base de datos MongoDB. En este seminario web le guiaremos por el despliegue en producción.
Traackr evaluated several NoSQL database options to store its heterogeneous, unstructured web data. Document databases were the best fit due to their flexibility to store variable length text like tweets and blog posts without predefined schemas. MongoDB was selected due to its maturity, adoption, and support for ad-hoc queries and batch processing needed by Traackr in early 2010.
As of Mid to April Ending, I am building a new Reiki-Yoga Series. No worries, they are free workshops. So far, I have 3 presentations so its a gradual process. If interested visit: https://www.slideshare.net/YogaPrincess
https://ldmchapels.weebly.com
Blessings and Happy Spring. We are hitting Mid Season.
The ever evoilving world of science /7th class science curiosity /samyans aca...Sandeep Swamy
The Ever-Evolving World of
Science
Welcome to Grade 7 Science4not just a textbook with facts, but an invitation to
question, experiment, and explore the beautiful world we live in. From tiny cells
inside a leaf to the movement of celestial bodies, from household materials to
underground water flows, this journey will challenge your thinking and expand
your knowledge.
Notice something special about this book? The page numbers follow the playful
flight of a butterfly and a soaring paper plane! Just as these objects take flight,
learning soars when curiosity leads the way. Simple observations, like paper
planes, have inspired scientific explorations throughout history.
Exploring Substances:
Acidic, Basic, and
Neutral
Welcome to the fascinating world of acids and bases! Join siblings Ashwin and
Keerthi as they explore the colorful world of substances at their school's
National Science Day fair. Their adventure begins with a mysterious white paper
that reveals hidden messages when sprayed with a special liquid.
In this presentation, we'll discover how different substances can be classified as
acidic, basic, or neutral. We'll explore natural indicators like litmus, red rose
extract, and turmeric that help us identify these substances through color
changes. We'll also learn about neutralization reactions and their applications in
our daily lives.
by sandeep swamy
*Metamorphosis* is a biological process where an animal undergoes a dramatic transformation from a juvenile or larval stage to a adult stage, often involving significant changes in form and structure. This process is commonly seen in insects, amphibians, and some other animals.
Unit 5: Dividend Decisions and its theoriesbharath321164
decisions: meaning, factors influencing dividends, forms of dividends, dividend theories: relevance theory (Walter model, Gordon model), irrelevance theory (MM Hypothesis)
World war-1(Causes & impacts at a glance) PPT by Simanchala Sarab(BABed,sem-4...larencebapu132
This is short and accurate description of World war-1 (1914-18)
It can give you the perfect factual conceptual clarity on the great war
Regards Simanchala Sarab
Student of BABed(ITEP, Secondary stage)in History at Guru Nanak Dev University Amritsar Punjab 🙏🙏
The *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responThe *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responses*: Insects can exhibit complex behaviors, such as mating, foraging, and social interactions.
Characteristics
1. *Decentralized*: Insect nervous systems have some autonomy in different body parts.
2. *Specialized*: Different parts of the nervous system are specialized for specific functions.
3. *Efficient*: Insect nervous systems are highly efficient, allowing for rapid processing and response to stimuli.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive in diverse environments.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schoolsdogden2
Algebra 1 is often described as a “gateway” class, a pivotal moment that can shape the rest of a student’s K–12 education. Early access is key: successfully completing Algebra 1 in middle school allows students to complete advanced math and science coursework in high school, which research shows lead to higher wages and lower rates of unemployment in adulthood.
Learn how The Atlanta Public Schools is using their data to create a more equitable enrollment in middle school Algebra classes.
2. • Setting Up Postgres and a Repository Layer with TypeORM
• Technical requirements
• Setting up our Postgres database
• Understanding object relational mappers by using TypeORM
• Building our repository layer using Postgres and TypeORM
3. What is data
• Data can come in the form of text, observations, figures,
images, numbers, graphs, or symbols.
• For example, data might include individual prices, weights,
addresses, ages, names, temperatures, dates, or distances.
• Data is a raw form of knowledge and, on its own, doesn't
carry any significance or purpose.
4. What Is a Database?
• A database is an organized collection of structured
information, or data, typically stored electronically in a
computer system.
• Some real-life examples of databases include student
database, employee database, eCommerce, healthcare,
online banking systems, hotel booking systems, airline
reservation systems.
8. Types of Databases
• Hierarchical Databases. data model in which the data are
organized into a tree-like structure
9. A relational database is a type of database that stores and provides access
to data points
10. • Network Databases. a database model where numerous
records or files can link to multiple owner files
11. object-oriented database (OOD)
• An object-oriented database (OOD) is a database system
that can work with complex data objects — that is, objects
that mirror those used in object-oriented programming
languages. In object-oriented programming (OOP),
everything is an object.
13. What Is a Database Management
System?
• Database Management Systems (DBMS) are software
systems used to store, retrieve, and run queries on data.
• A DBMS serves as an interface between an end-user and a
database, allowing users to create, read, update, and delete
data in the database.
• Eg. MySql, Oracle, PostgreSQL, Access, MongoDB
14. SQL
• What is SQL?
• SQL stands for Structured Query Language
• SQL lets you access and manipulate databases
15. What Can SQL do?
• SQL can execute queries against a database
• SQL can retrieve data from a database
• SQL can insert records in a database
• SQL can update records in a database
• SQL can delete records from a database
• SQL can create new databases
• SQL can create new tables in a database
16. What is PostgreSQL and why it is used?
• It is a highly stable database management system, backed
by more than 20 years of community development which
has contributed to its high levels of resilience, integrity, and
correctness.
17. The minimum hardware required to install and run
PostgreSQL is:
• 1 GHz processor.
• 2 GB of RAM.
• 512 MB of HDD.
18. Who uses PostgreSQL?
Top Companies using PostgreSQL
Company
Name
Website Revenue
Netflix
www.netflix.co
m
$24.9 Billion
Uber auth.uber.com $14.6 Billion
Instacart
www.instacart.c
om
$1.8 Billion
LaunchDarkly
launchdarkly.co
m
$57 Million
19. Benefits of PostgreSQL
• In other words, it offers atomicity, consistency, isolation and durability
features. PostgreSQL's advanced features include stored procedures, triggers,
user-defined functions, transactions and replication.
• PostgreSQL provides enterprise-grade scalability performance, availability and
functionality. Thus, you can deploy PostgreSQL in a distributed architecture,
which can handle large volumes of data.
• Another important feature of PostgreSQL is that it’s open source, which makes
it an affordable solution for businesses to keep costs low.
• PostgreSQL has an excellent track record of reliability and data security.
• It’s been used in production by customers for decades and is trusted by many
organizations and businesses worldwide.
20. How to setup the PostgreSQL?
1.Download the installer from the official PostgreSQL website:
https://www.postgresql.org/download/windows/
2.Run the installer and follow the instructions.
3.Start the PostgreSQL Service:
4.Windows: PostgreSQL service should start automatically after
installation.
5.Access PostgreSQL Shell:
6.Windows: Open the SQL Shell (psql) from the PostgreSQL folder in
the Start menu.
7.Change Password for the PostgreSQL User:
21. 8. Windows: Open the SQL Shell (psql).
9. CREATE DATABASE your_database;
10. Switch to the New Database:
11. Create a User for the Database:
12. CREATE USER your_user WITH PASSWORD 'your_password';
13. GRANT ALL PRIVILEGES ON DATABASE your_database TO your_user;
14. Exit the PostgreSQL ShellConnect to PostgreSQL:
15. You can now connect to PostgreSQL using a database client or your
preferred programming language.For example, using the psql command-
line client:
22. Class
• A class is a template for creating objects in program.
• Example: Car.
Object
• The object is an instance of a class.
• Example: Jaguar, BMW, Tesla, etc.
24. Object Relational Mapper (ORM)
• ORM stands for Object-Relational Mapping. It is a
programming technique that allows you to interact with a
relational database using an object-oriented programming
language.
• The main purpose of an ORM is to bridge the gap between
the relational model of a database and the object-oriented
model of a programming language. With an ORM, you can
interact with the database using objects and their methods,
rather than writing raw SQL queries.
25. TypeScript is an open-source programming language developed by Microsoft.
TypeScript offers numerous benefits for developers
• Improved Developer Experience:
• Enhanced Code Quality:
• Large and complex web applications:
• API development:
• Reduced runtime errors:
• Improved performance:
26. • TypeORM is an Object-Relational Mapping (ORM) library for
TypeScript
• It enables developers to interact with relational databases
using TypeScript
• TypeORM supports a variety of database management
systems, including PostgreSQL, MySQL, MariaDB, SQLite,
and Microsoft SQL Server.
27. Building our repository layer using
Postgres and TypeORM
• Building a repository layer using PostgreSQL and TypeORM
involves setting up a database, defining entities, creating a
repository, and integrating TypeORM into your project.
• Below is a step-by-step guide using Node.js and TypeScript,
assuming you have Node.js and npm installed.
28. Step 1: Project Setup
• Create a new project and initialize it with npm:
Step 2: TypeScript Configuration
• Create a tsconfig.json file in the root directory:
Step 3: PostgreSQL Configuration
• Create a PostgreSQL database and note down the connection details
(host, username, password, database name).
Step 4: TypeORM Configuration
• Create an ormconfig.json file in the root directory:
29. • Replace "your_username", "your_password", and "your_database" with your
PostgreSQL credentials.
Step 5: Create Entities
• Create a src/entities/User.ts file:
Step 6: Create Repository
• Create a src/repositories/UserRepository.ts file:
Step 7: Create an Express App
• Create a src/index.ts file:
Step 8: Run the Application
• Compile TypeScript and start the application: