#Apache_Pulsar

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#Confluent_Cloud

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#MyBatis

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#Databases

Question count - 0     Last updated    - V2 (08-May-2024)

Relational Databases (SQL)	Ideal choice when your data is structured and needs to be consistent Supports ACID transactions and complex relational queries Examples: MySQL, PostgreSQL, CockroachDB
Document Databases	Handles semi-structured data with the possibility of different fields for each document. Provides an amazing level of schema flexibility Examples: MongoDB, Couchbase
Key-Value Store	Use when the data model is based on key-value pairs. Ideal for fast data retrieval and high throughput. Examples: Redis, DynamoDB
Graph Databases	Excellent choice for data with complex relationships. Used in applications such as recommendation engines and navigation maps. Examples: Neo4j, Amazon Neptune.
Time-Series Databases	Perfect choice when dealing with time-series data like IoT sensor readings or server logs in DevOps. Provides efficient storage and retrieval of time-stamped data. Examples: InfluxDB, Prometheus.
Columnar Databases	Data is stored by columns instead of rows to optimize reading from a column. Great for applications that involve storing massive data sets and running analytical queries. Examples: Amazon Redshift, Snowflake
In-Memory Databases	Ideal for cases when speed is more important than persistence. Used for caching, real-time analytics, and high-frequency trading. Examples - Redis and Memcached
Search Engines	Great for situations when you need to support full-text search on your dataset. Essential for applications that require searching through large amounts of data Examples - Elasticsearch & Solr
Spatial Databases	Used for storing geographical and location-based data. Extended on top of traditional databases. Choose for applications that require Spatial indexing and geospatial analytics. Examples include PostGIS & Oracle Spatial
Blob Datastore	For applications that need to store large documents, images, audio and video files. They provide high availability, durability and cost-effective storage. Examples include Azure Blob Storage, Amazon S3
Ledger Databases	Specialized databases for recording and maintaining tamper-evident and immutable history of transactions. They use cryptographic techniques like hashing & chaining to ensure data integrity. Examples: Amazon QLDB, Azure SQL Ledger

Vector DB Vs. Traditional DB         Structured, Semi Structured, and Unstructured Data

#Vector_DB

Question count - 0     Last updated    - V2 (07-May-2024)

Vector Databases

A vector database is a type of database that works with complex data like images, sounds, and text. Embedding : This complex data is transformed into something called a vector, which is basically a list of numbers. Think of a vector as a numerical representation or fingerprint of your data. For example, the sentence ?I love apples? could be represented as something like [0.7, 0.5, 0.2]. This list of numbers captures the meaning of the sentence in a way that a computer can understand. These vectors are stored in the vector database in collections, which are similar to tables in a traditional database. The key feature of a vector database is its ability to find similar items. When you query the database with a vector, it can find vectors close to it in the numerical space. The closeness of vectors is usually measured by something called cosine similarity or Euclidean distance. For example, if you have a sentence ?I like apples? that is transformed into a vector [0.6, 0.5, 0.2], the vector database can find other sentences (represented as vectors) that are similar or close to it. This is particularly useful for things like building recommendation systems, search engines, or any application where you need to find similar items in a large dataset.

#Saga_Pattern

Question count - 0     Last updated    - V2 (19-Nov-2023)

Web Reference

Medium - Mehmet Ozkaya

YouTube Reference

Byte Programming

#gRPC

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#Rest

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#SOAP

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SOAP	SOAP stands for Simple Object Access Protocol It is a XML-based protocol for accessing web services. SOAP is a W3C recommendation for communication between two applications. SOAP is XML based protocol. It is platform independent and language independent By using SOAP, you will be able to interact with other programming language applications.
Advantages	WS Security Language and Platform independent
Disadvantages	Slow WSDL dependent

Web Reference

https://medium.com/@dilshanramesh81/soap-web-services-c62940e0de93

https://www.guru99.com/soap-simple-object-access-protocol.html

#Spring data

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#Generics

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Web

Dharshi Balasubramaniyam

#SideCar_Pattern

Question count - 0     Last updated    - V2 (03-May-2024)

Shashir

#Vector_DB

Question count - 0     Last updated    - V2 (19-Nov-2023)