Analytics Vidhya

FEBRUARY 29, 2024

Introduction In the field of modern data management, two innovative technologies have appeared as game-changers: AI-language models and graph databases. AI language models, shown by new products like OpenAI’s GPT series, have changed the landscape of natural language processing.

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Database Natural Language Processing AI AI 290

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. Through this guide, we give you a larger picture to get started with your database journey.

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Database SQL Data Science Business Intelligence 195

Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress.

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Artificial Intelligence Artificial Intelligence SQL AI 177

Pickl AI

NOVEMBER 3, 2024

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. SQL provides several techniques for pattern matching, enabling users to efficiently query databases and extract meaningful insights.

SQL 52

SQL Database Data Analysis Data Analysis 52

Data Science Dojo

OCTOBER 4, 2024

Their research can lead to breakthroughs in fields such as artificial intelligence, machine learning, and cybersecurity, which are essential for the progress of modern society. Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL.

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Computer Science Computer Science Database Administration Data Scientist 409

Dataconomy

AUGUST 7, 2023

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications.

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Pickl AI

OCTOBER 30, 2024

Summary: Dynamic SQL is a powerful feature in SQL Server that enables the construction and execution of SQL queries at runtime. Introduction Dynamic SQL is a powerful programming technique that allows developers to construct and execute SQL statements at runtime. What is Dynamic SQL?

SQL 52

SQL Database Data Science Artificial Intelligence 52

Pickl AI

NOVEMBER 4, 2024

Summary: Open Database Connectivity (ODBC) is a standard interface that simplifies communication between applications and database systems. It enhances flexibility and interoperability, allowing developers to create database-agnostic code. What is Open Database Connectivity (ODBC)?

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AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

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SQL AWS Database Data Scientist 108

Flipboard

JUNE 10, 2023

When we say “database” today we are probably talking about persistent storage, relational tables, and SQL. Rows and Columns, and all that stuff.

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Database SQL Computer Science Computer Science 123

Dataconomy

JANUARY 31, 2025

DeepSeek, the trending Chinese artificial intelligence (AI) startup, recently exposed one of its databases on the internet, potentially allowing unauthorized access to sensitive data. The exposed ClickHouse database provided full control over its operations, according to Wiz security researcher Gal Nagli.

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Database Artificial Intelligence Artificial Intelligence SQL 114

IBM Journey to AI blog

NOVEMBER 29, 2023

Artificial intelligence is also key for businesses, helping provide capabilities for both streamlining business processes and improving strategic decisions. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

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Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

AWS Machine Learning Blog

JUNE 20, 2024

The data is stored in a data lake and retrieved by SQL using Amazon Athena. The following figure shows a search query that was translated to SQL and run. Data is normally stored in databases, and can be queried using the most common query language, SQL. Constructing SQL queries from natural language isn’t a simple task.

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SQL Database AWS Machine Learning 100

AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation.

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SQL AWS Database ML 126

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries.

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SQL Data Lakes Data Analyst AWS 113

AWS Machine Learning Blog

NOVEMBER 15, 2024

For instance, analyzing large tables might require prompting the LLM to generate Python or SQL and running it, rather than passing the tabular data to the LLM. The available data sources are: Stock Prices Database Contains historical stock price data for publicly traded companies. We give more details on that aspect later in this post.

Database 113

Database SQL Data Analysis Data Analysis 113

AWS Machine Learning Blog

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. For Model name , enter llama-3-8b-text-to-sql. Choose Import model.

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SQL AWS ML ML 117

ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

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SQL Data Scientist Database Data Science 98

Towards AI

MARCH 29, 2024

Best AI SQL Query Tools Want to quickly get answers from your database? It’s an open-source tool that helps you generate SQL to let the data speak for itself. Imagine how convenient it would be if there were a tool that allowed you to communicate with your database as easily as chatting. First, the open-source mode.

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SQL AI AI Database 98

Flipboard

DECEMBER 6, 2023

In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

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SQL Database AWS Machine Learning 168

Data Science Dojo

MARCH 7, 2023

Programming Data scientists need to have a solid foundation in programming languages such as Python, R, and SQL. SQL is a must-have for data scientists as it is a database language and allows them to extract data from databases and manipulate it easily.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

ODSC - Open Data Science

MARCH 8, 2023

Data is scaling at an incredible rate, making databases more critical than ever to keep things running smoothly. Yet, as businesses have turned to databases on a large scale, they’ve quickly become the target of hacking attempts, phishing schemes, or brute force attacks. That’s where database security comes in.

Database 98

Database Data Science SQL Database Administration 98

Pickl AI

NOVEMBER 4, 2024

Summary: This article provides a comprehensive overview of ODBC types, explaining their significance in database connectivity. Understanding these types helps developers choose the right driver for their applications, ensuring optimal performance and compatibility with different database systems. What is ODBC?

Database 52

Database SQL Data Science Artificial Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 12, 2024

In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. From a broad perspective, the complete solution can be divided into four distinct steps: text-to-SQL generation, SQL validation, data retrieval, and data summarization.

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SQL AWS AI AI 123

Smart Data Collective

SEPTEMBER 21, 2020

The first step in understanding COVID-19 infection is the most straightforward: figure out where and how infections are spreading and, to this end, graph databases have been a particularly powerful tool. Another insight from graphing and modeling COVID databases?

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Big Data Big Data Database SQL 143

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation.

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Towards AI

SEPTEMBER 26, 2024

Fine-tuning LLMs for Natural Language to SQL Query Generation Using Synthetic Data: A Comprehensive Guide for Beginners by Anoop Maurya This article explores how to fine-tune LLMs to generate SQL queries from natural language inputs. Our must-read articles 1.

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SQL AI AI Machine Learning 105

Dataconomy

SEPTEMBER 5, 2023

Quick take: Google enhances Duet AI with a range of new capabilities aimed at streamlining application development, database management, data analytics, and cybersecurity. For instance, you could use Duet AI to transition a legacy app written in C++ over to Go, while also switching the database backend to Google Cloud SQL.

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SQL Database AI AI 114

Pickl AI

NOVEMBER 5, 2024

Summary : This article highlights the differences between Db2 ODBC and Embedded SQL, focusing on their performance, flexibility, and use cases. Introduction DB2 is a robust relational database management system currently utilised by over 16,931 companies worldwide as of 2024.

SQL 52

SQL Database Data Analysis Data Analysis 52

Pickl AI

OCTOBER 22, 2024

Summary: Relational database organize data into structured tables, enabling efficient retrieval and manipulation. With SQL support and various applications across industries, relational databases are essential tools for businesses seeking to leverage accurate information for informed decision-making and operational efficiency.

Database 52

Database SQL Big Data Big Data 52

Becoming Human

FEBRUARY 1, 2023

So far this is the 7th blog in the journey of basics to advance SQL. you can refer to previous blogs for learning SQL from scratch, This blog contains good knowledge about views, functions, and stored procedures. VIEWS A view is actually a virtual table-based approach as a result set for SQL statement. Why do we need views??

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SQL Data Science Artificial Intelligence Artificial Intelligence 64

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

AWS Machine Learning Blog

SEPTEMBER 13, 2024

In this post, we explore a solution that uses generative artificial intelligence (AI) to generate a SQL query from a user’s question in natural language. The application generates SQL queries based on the user’s input, runs them against an Athena database containing CUR data, and presents the results in a user-friendly format.

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AWS Machine Learning Blog

MAY 30, 2024

CBRE is unlocking the potential of artificial intelligence (AI) to realize value across the entire commercial real estate lifecycle—from guiding investment decisions to managing buildings. The framework for connecting Anthropic Claude 2 and CBRE’s sample database was implemented using LangChain.

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AWS SQL Database AI 123

Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Artificial Intelligence : Concepts of AI include neural networks, natural language processing (NLP), and reinforcement learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

SEPTEMBER 19, 2024

Summary: The CASE statement in SQL provides conditional logic within queries, enabling flexible data manipulation. Proper usage and optimisation enhance query performance and adaptability, making it a crucial tool for effective SQL data management. What is a CASE Statement in SQL? Learn the Differences Between SQL and T-SQL.

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SQL Database Data Analyst Data Analysis 52

AWS Machine Learning Blog

DECEMBER 11, 2024

By moving our core infrastructure to Amazon Q, we no longer needed to choose a large language model (LLM) and optimize our use of it, manage Amazon Bedrock agents, a vector database and semantic search implementation, or custom pipelines for data ingestion and management.

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AWS Database AI AI 91