Analytics Vidhya

JUNE 21, 2024

Introduction ALTER command is one of the most important SQL functions to know for database manipulation and management. This Data Definition Language (DDL) command can alter existing tables by adding, removing, or updating columns, constraints, and indexes.

SQL 316

SQL Database Analytics Analytics 316

insideBIGDATA

JUNE 26, 2023

Databricks, the Data and AI company, today announced it has entered into a definitive agreement to acquire MosaicML, a leading generative AI platform. Together, Databricks and MosaicML will make generative AI accessible for every organization, enabling them to build, own and secure generative AI models with their own data.

AI 221

AI AI Big Data Big Data 221

Analytics Vidhya

JUNE 6, 2023

Database Management Systems (DBMS) are indispensable in today’s data-driven world. Beyond data storage, DBMS performs crucial functions such as data definition, manipulation, administration, and security.

Database 291

Database Analytics Analytics SQL 291

Data Science Dojo

APRIL 6, 2023

While Python and R are popular for analysis and machine learning, SQL and database management are often overlooked. However, data is typically stored in databases and requires SQL or business intelligence tools for access. In this guide, we provide a comprehensive overview of various types of databases and their differences.

Database 195

Database SQL Data Science Business Intelligence 195

Flipboard

APRIL 24, 2025

These tables house complex domain-specific schemas, with instances of nested tables and multi-dimensional data that require complex database queries and domain-specific knowledge for data retrieval. The solution uses the data domain to construct prompt inputs for the generative LLM.

SQL 146

SQL Database AWS ML 146

The Data Administration Newsletter

MAY 4, 2021

When you’ve been involved in data management for as long as I have, things are definitely bound to change. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […]. And things have changed, quite a lot, in fact.

Database 139

Database 139

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness.

Database 159

Database Data Scientist Data Mining Data Mining 159

Dataconomy

JUNE 17, 2025

Definition of an entity At its core, an entity signifies a distinct unit with independent existence. Entity types in different contexts Entities can be classified in several contexts, notably: Technology: Represents components within data models, databases, and communication frameworks.

Database 91

Database Natural Language Processing Machine Learning Machine Learning 91

Dataconomy

JUNE 16, 2025

This type of data maintains a clear structure, usually in rows and columns, which makes it easy to store and retrieve using database systems. Definition and characteristics of structured data Structured data is typically characterized by its organization within fixed fields in databases.

Database 91

Database Data Lakes ETL Natural Language Processing 91

Pickl AI

DECEMBER 25, 2024

For instance, a sales department may maintain its own database that is incompatible with the accounting department’s system. This can involve creating a unified database accessible to all relevant stakeholders. The post Understanding Data Silos: Definition, Challenges, and Solutions appeared first on Pickl.AI.

Data Silos 52

Data Silos Database Data Quality ETL 52

Hacker News

JANUARY 26, 2024

Yet there is still no definitive database of the number of crashes or fatalities caused by it. Distracted driving is a worsening problem, safety experts say.

Database 181

Database 181

Analytics Vidhya

JULY 29, 2024

Topics range from basic definitions to complex query optimization. MySQL is a key tool in data management and analytics. This guide presents over 30 MySQL interview questions, covering both theory and practical skills.

Analytics 299

Analytics Analytics SQL Database 299

Data Science Dojo

APRIL 25, 2023

It is a programming language used to manipulate data stored in relational databases. Here are some essential SQL concepts that every data scientist should know: First, understanding the syntax of SQL statements is essential in order to retrieve, modify or delete information from databases.

Data Scientist 370

Data Scientist SQL Machine Learning Machine Learning 370

Smart Data Collective

JANUARY 9, 2023

For corporations, creating a reliable and easy-to-use corporate database is a vital part of developing and maintaining a smoothly-running operation. From keeping customer information private to ensuring that financial data is safe and secure, corporate databases can play an essential role in a corporation’s ability to succeed.

Database 112

Database SQL Python Data Scientist 112

Dataconomy

SEPTEMBER 16, 2024

The SQL language, or Structured Query Language, is essential for managing and manipulating relational databases. It was designed to retrieve and manage data stored in relational databases. This versatile programming language is widely used by database administrators, developers, and data analysts.

SQL 103

SQL Database Data Analyst Database Administration 103

Dataconomy

APRIL 4, 2022

A data dictionary, also known as a data definition matrix, contains comprehensive data about the company’s data, such as the definition of data elements, their meanings, and allowable values. Let’s start by answering the first thing that comes to mind: What is a data dictionary? The dictionary, in essence, is.

Database 113

Database Big Data Big Data Data Science 113

Dataconomy

MAY 30, 2024

This article will explore the definition and offer essential tips to businesses looking to leverage custom software application development services to drive their operations forward. This includes user interface design, database design, and data flow diagrams, among others. What is custom software application development?

Database 103

Database 103

Dataconomy

MAY 23, 2025

ACID properties stand as cornerstone principles in the realm of transaction processing, ensuring data integrity and reliability in modern databases. ACID properties refer to a set of guidelines that transactions must adhere to within databases, especially in the context of RDBMS.

Database 91

Database Database Administration SQL 91

Dataconomy

MARCH 20, 2025

Definition of RAG RAG stands for Retrieval-Augmented Generation, which emphasizes blending real-time data retrieval with the language model’s ability to generate contextually relevant responses. Its functionality allows LLMs to interact dynamically with multiple databases for optimal responses.

Database 91

Database AI AI 91

AWS Machine Learning Blog

JANUARY 24, 2024

We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace. The user query is used to retrieve relevant additional context from the vector database. The retrieved context and the user query are used to augment a prompt template.

AWS 144

AWS Database AI AI 144

Analytics Vidhya

JULY 20, 2023

SUBSTRING Function in SQL: Definition, syntax application, examples, use cases, difference between Substring and CharIndex functions in SQL.

SQL 208

SQL Database 208

Dataconomy

JUNE 4, 2025

Foreign keys are a cornerstone of relational databases, playing a crucial role in organizing and linking related data across tables. Understanding foreign keys is essential for anyone working with relational database management systems. Foreign keys are fields in a database table that establish a link between two tables.

Database 91

Database SQL Data Analysis Data Analysis 91

Data Science Dojo

MARCH 10, 2023

As the amount of data being generated and stored by companies and organizations continue to grow, the ability to effectively manage and manipulate this data using databases has become increasingly important for developers. For the unversed, the programming language SQL is primarily used to manage and manipulate data in relational databases.

SQL 195

SQL Database 195

AWS Machine Learning Blog

OCTOBER 24, 2024

Solution overview Typically, a three-tier software application has a UI interface tier, a middle tier (the backend) for business APIs, and a database tier. Generate, run, and validate the SQL from natural language understanding using LLMs, few-shot examples, and a database schema as a knowledge base.

AWS 96

AWS SQL Database AI 96

Dataconomy

MARCH 6, 2025

Definition Continuous Validation is the ongoing assessment of code changes using automated testing methods to ensure that new additions do not introduce errors or degrade existing functionality. Protects the main database from issues arising from new integrations. Key benefits Automated validation uncovers bugs quickly.

Machine Learning 91

Machine Learning Machine Learning Database 91

Dataconomy

MARCH 21, 2025

Definition and functionality of TCAM At its core, TCAM operates by enabling searches based on data content instead of relying on static addresses. Database applications: TCAM can optimize data retrieval processes, making it useful for large-scale databases.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 91

Hacker News

SEPTEMBER 9, 2023

Code Indexer Loop is a Python library for indexing and retrieving source code files through an integrated vector database that's continuously and efficiently updated.

Database 113

Database Python 113

Data Science Dojo

OCTOBER 22, 2024

How are Knowledge Graphs Different from Vector Databases? Source: Neo4j Knowledge graphs and vector databases represent and retrieve information in fundamentally different ways. Key Components of GraphRAG: Knowledge Graph (KG): A structured database that stores entities (nodes) and relationships (edges) in a graph format.

Database 243

Database AI AI Algorithm 243

Pickl AI

MARCH 21, 2025

Summary: SQL commands list in DBMS help manage databases efficiently. In simple words, SQL ( Structured Query Language ) is used to manage and organise data in databases. In this blog, well break down the SQL commands list in DBMS so you can understand how databases work effortlessly.

SQL 52

SQL Database Data Science Database Administration 52

AWS Machine Learning Blog

JUNE 11, 2025

Data for a single report includes thousands of data points from a multitude of sources including official documentation, databases, unstructured document stores, utility bills, and emails. Report GenAI pre-fills reports by drawing on existing databases, document stores and web searches. on Amazon Bedrock.

AWS 93

AWS SQL Database AI 93

Flipboard

JUNE 3, 2025

Your application forwards the query to Amazon Bedrock through the Converse API: # Initialize the Bedrock runtime client with your AWS credentials bedrock = boto3.client(service_name='bedrock-runtime', million, representing a 12% growth compared to the previous quarter.

AWS 140

AWS AI AI Database 140

Hacker News

JUNE 9, 2025

We also offer hosted and on-premise versions with OCR, extra metadata, all embedding providers, and managed vector databases for teams that want a fully managed pipeline. 200k+ tokens) with many SQL snippets, query results and database metadata (e.g. Your private database for all ai interactions. table and column info).

Database 76

Database SQL ETL AI 76

AWS Machine Learning Blog

MARCH 20, 2025

Generative AI-powered agents for automated workflows Amazon Bedrock in SageMaker Unified Studio allows you to create and deploy generative AI agents that integrate with organizational applications, databases, and third-party systems, enabling natural language interactions across the entire technology stack. For Key name , enter x-api-key.

AWS 113

AWS Database AI AI 113

Towards AI

FEBRUARY 5, 2025

In RAG, you store these chunks in a vector database and encode them with a text embedding model. Set Up the Vector Database You can sign up for a free-tier KDB.AI Well generate late chunks and store them in the vector database. Splitting text naively can inadvertently break longer contextual relationships. Initialize KDB.AI

Database 80

Database Clustering AI AI 80

Dataconomy

MARCH 19, 2025

As organizations increasingly rely on diverse databases and applications, maintaining a consistent model for data interchange becomes essential. Definition and importance In essence, a Canonical schema helps maintain data integrity and consistency by ensuring that all applications adhere to the same data representation.

Data Models 91

Data Models Data Modeling Database Administration Database 91

AWS Machine Learning Blog

APRIL 30, 2025

Agent function calling represents a critical capability for modern AI applications, allowing models to interact with external tools, databases, and APIs by accurately determining when and how to invoke specific functions. For implementation examples, check out our code samples in the amazon-bedrock-samples GitHub repository.

AWS 110

AWS AI AI Computer Science 110

Flipboard

NOVEMBER 17, 2023

The Retrieval-Augmented Generation (RAG) framework augments prompts with external data from multiple sources, such as document repositories, databases, or APIs, to make foundation models effective for domain-specific tasks. Its vector data store seamlessly integrates with operational data storage, eliminating the need for a separate database.

K-nearest Neighbors 168

K-nearest Neighbors AWS Clustering Database 168