Kole  Haag

Kole Haag

1602403200

What is NoSQL and How is it Utilized?

Posted on September 25, 2020 by Dean Conally | Updated: October 8, 2020

Category: Tutorials | Tags: CassandraColumnsDatabaseDatabase ManagementDatabase StructureDB2Document StoresDynamic SchemaExtensible Record StoresGraph StoresJSONKey-ValueMSSQLMulti-RowMySQLNodeNode Relationship NodeNon-Relational DatabasesNoSQLNoSQL ModelQueryRowsScalabilitySchema FreeSQLStoresTablesWide-Column

Reading Time: 5 minutes

What is NoSQL?

A NoSQL or a NoSQL Database is a term used when referring to a “non SQL” or “not only SQL” database. NoSQL databases store data in a different format than a traditional relational database management systems. This is why NoSQL is often associated with the term “non-relational” database. Simply put, NoSQL databases are modern databases with high flexibility, blazing performance, and built for scalability. These databases are used when you require low latency and high extensibility while working with large data structures. The versatility of NoSQL is due to the nature of as being unrestricted in comparison to relational databases models such as MySQL or DB2.

SQL vs. NoSQL Comparison

There are multiple differences between SQL and NoSQL database types. In the table below, we will compare some of the most critical variations.

#tutorials #cassandra #columns #database #database management #database structure #db2 #document stores #dynamic schema #extensible record stores #graph stores #json #key-value #mssql #multi-row #mysql #node #node relationship node #non-relational databases #nosql #nosql model #query #rows #scalability #schema free #sql #stores #tables #wide-column

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What is NoSQL and How is it Utilized?
Kole  Haag

Kole Haag

1602403200

What is NoSQL and How is it Utilized?

Posted on September 25, 2020 by Dean Conally | Updated: October 8, 2020

Category: Tutorials | Tags: CassandraColumnsDatabaseDatabase ManagementDatabase StructureDB2Document StoresDynamic SchemaExtensible Record StoresGraph StoresJSONKey-ValueMSSQLMulti-RowMySQLNodeNode Relationship NodeNon-Relational DatabasesNoSQLNoSQL ModelQueryRowsScalabilitySchema FreeSQLStoresTablesWide-Column

Reading Time: 5 minutes

What is NoSQL?

A NoSQL or a NoSQL Database is a term used when referring to a “non SQL” or “not only SQL” database. NoSQL databases store data in a different format than a traditional relational database management systems. This is why NoSQL is often associated with the term “non-relational” database. Simply put, NoSQL databases are modern databases with high flexibility, blazing performance, and built for scalability. These databases are used when you require low latency and high extensibility while working with large data structures. The versatility of NoSQL is due to the nature of as being unrestricted in comparison to relational databases models such as MySQL or DB2.

SQL vs. NoSQL Comparison

There are multiple differences between SQL and NoSQL database types. In the table below, we will compare some of the most critical variations.

#tutorials #cassandra #columns #database #database management #database structure #db2 #document stores #dynamic schema #extensible record stores #graph stores #json #key-value #mssql #multi-row #mysql #node #node relationship node #non-relational databases #nosql #nosql model #query #rows #scalability #schema free #sql #stores #tables #wide-column

Juanita  Apio

Juanita Apio

1623180540

SQL vs NoSQL and SQL to NoSQL Migration

Overview

Given the choice of a Relational Database (RDBMS) vs a NoSQL database, it has become more important to select the right type of database for storing data. Not all the requirements fit in a NoSQL database or an RDBMS. RDBMSs are mainly related to managing, storing, and manipulating structured data where the data format, columns, data type, attributes, and schema are fixed, and the relationship between entities needs to be consistently maintained.

SQL is a common query language used when dealing with an RDBMS. Using an RDBMS is a choice for storing transactional data or records where the ACID (Atomicity, Consistency, Isolation, Durability) proprieties of transactions must be provided by an underlying database. An RDBMS is also a choice where the security and accessibility of data are of utmost importance. Typical use cases are financial records, financial transactions, OLTP, ERP, CRM systems, e-commerce applications, etc.

NoSQL (sometimes referred to as Not only SQL, non-SQL or non-relational) is a database that is suitable for managing data that is non-relational, i.e. not structured in tabular format or have fixed data type formats and variables that do not possess tabular relationships. There are various types of NoSQL databases that exist, like key-value, document-based, column-based, and graph-based. When it comes to scalability and performance of unstructured data, NoSQL is the obvious choice.

In a recent development, a few graph databases provide the options to store transactions adhering to ACID properties, but they are still in the early phases of adoption. Typical uses cases of NoSQL include data that is largely unstructured and needs flexibility in data models like content management, personalization, web search engines, storing large users profiles from heterogeneous sources, data streams, documents, digital communication (Storing messages, chats), big data, analytics, machine learning, and storing IoT data.

It becomes imperative to choose the right type of database, and, if required, migrate the exiting RDBMS database to NoSQL to meet the new dynamics of business requirements, scalability, and performance aspects. The below section will help in deciding the right database for your requirement.

1. Database Decision Tree

2. Migration From RDBMS Data Sources to NoSQL DBs

If there are existing RDBMS databases that are storing content, documents, files, or have unstructured data, then there are significant advantages in moving such databases to NoSQL databases. Benefits include cost benefits, performance, scalability, future proof for changes, reducing conversion jobs, and extensive supportability for analytics.

2.1 Migration Tools From Traditional RDBMS DB to AWS DynamoDB

AWS Database Migration Service (AWS DMS) can migrate data from most widely-used commercial RDBMSs and open-source databases to similar databases (homogeneous) or different database platforms (heterogeneous) including transforming RDBMS to DynamoDB or Cassandra to DynamoDB or MongoDB to DynamoDB databases.

2.2 Migration Tools for RDBMS DB to Azure Cosmos DB

The Azure Cosmos DB emulator and the Azure Cosmos DB Data Migration tool can be used to migrate from an MSSQL database to Cosmos DB. This tool can also help to migrate if the source data is in CSV or JSON object formats.

Azure Database Migration Service (DMS), Cosmos DB, and the API for MongoDB can be used to migrate MongoDB to CosmosDB.

2.3 Migration From SQL to Google DataStore

Google has NoSQL services, Cloud Datastore, and Bigtable. Cloud Datastore is now being enhanced to recently released service called Firestore.

There are not many tools and documentation support from Google on migration to Firestore or Bigtable from RDBMS databases or different NoSQL platforms. Cloud SQL, a managed RDBMS from Google, has built-in features to migrate some of traditional RDBMS to CloudSQL. Cloud Spanner is another managed RDBMS. Migrations involve mainly manual processes.

#nosql #aws #azure #sql #nosql

Sigrid  Farrell

Sigrid Farrell

1623760500

NoSQL, the Cloud, and Java: Part 2: The NoSQL Platforms

In the second part of this analysis of NoSQL in Java, we’ll look deep into the platforms, such as Hibernate, Quarkus, Spring, Micronaut, and Jakarta EE.

Within the world of NoSQL solutions with Java, there are several solutions and different types, which was the first part of this article. However, in addition to the keys, there are also platforms. The platforms are a set of tools that help to work with NoSQL databases. In this post, you will have the objective of talking about the platforms: the definition and the existing solutions in the current environment with Java.

An important point to start the discussion about NoSQL platforms is that, like NoSQL description themselves, there is no single definition. It can differ according to the literature and experience of each author. In a general way, NoSQL solution platforms are a set of tools to deal with databases. That is, in addition to the API, there will be other tools.

Thinking about the existing platforms, they are composed of four points, in addition to the API itself.

  • Dependency injection: It is a framework based on a container for either injection of dependence or inversion of control to facilitate the loose coupling among different system modules in the application.
  • Template: Thinking about a mapping API. Its main objective is to interpret operations with one or more databases to reduce the learning curve and errors or bugs.
  • Repository Interfaces: Thinking about DDD, it would be responsible for capturing the entity’s domain and abstracting, totally or partially, the implementation for the Java developer. For example, the framework’s user creates an interface, develops some methods, and the platform itself will be responsible for implementing these features.
  • Configuration: We learned from The Twelve-Factor the importance of not leaving critical information like the username and password hardcoded. This tool’s main objective within the Solution is to facilitate this good practice of the third factor: the configuration.

Thinking about these scenarios, we can enumerate five platform solutions within the Java and NoSQL world that we have currently:

As this post’s objective will be to obtain an overview of the platforms, in this first point, only the components will explore with a simple demonstration of the API using MongoDB and a Philosopher entity with some attributes.

#java #database #cloud #nosql #spring #microprofile #quarkus #micronaut #jakarta nosql

Tyrique  Littel

Tyrique Littel

1600930800

NoSQL Design Pitfalls With Java - DZone Database

Non-relational databases are a topic often mentioned when we talk about new modeling or polyglot persistence. However, what is the impact of this adoption? The purpose of this article is to cover the steps to use this type of database within a corporate architecture.

Several articles address what a non-relational database is, types, and so on, however, in this article, I will start by addressing what NoSQL is not:

  • No-Security: Yes, regardless of the selected database, security is still an important issue. In other words, it is critical that database instances are not publicly exposed, and that using database user and password resources is always important. In addition to the validation in the database, the software level must be safe. That is, the password must not be stored directly in the code. In the ideal world, the developer should not know the user and password of the production database, all thanks to the third factor of The Twelve-Factor App. These topics are not new; however, it is worth mentioning since significant problems are related to this topic.

#java #database #nosql #mongodb #paas #cassandra #cloud (add topic) #jakarta ee #platform.sh #jakarta nosql