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.

Database 195

Database SQL Data Science Business Intelligence 195

Dataconomy

SEPTEMBER 16, 2024

The SQL language, or Structured Query Language, is essential for managing and manipulating relational databases. Introduction to SQL language SQL language stands for Structured Query Language. It was designed to retrieve and manage data stored in relational databases. Why learn SQL language?

SQL 103

SQL Database Data Analyst Database Administration 103

AWS Machine Learning Blog

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

SQL 133

SQL AWS Analytics Analytics 133

Analytics Vidhya

JANUARY 30, 2023

Whether we are analyzing IoT data streams, managing scheduled events, processing document uploads, responding to database changes, etc. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions? appeared first on Analytics Vidhya.

Azure 327

Azure Database Analytics Analytics 327

Smart Data Collective

AUGUST 9, 2022

One of the most important things companies need is a database. NoSQL databases are the alternative to SQL databases. Today we’ll discuss what NoSQL databases are, what types of them exist, as well as their advantages and disadvantages they offer to data-driven businesses. What are the types of NoSQL databases?

Database 119

Database SQL Big Data Big Data 119

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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Database AI AI ML 168

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.

SQL 121

SQL Database AWS Machine Learning 121

Smart Data Collective

DECEMBER 13, 2021

Tracking how your database is performing should be on the top of the to-do list for any administrator. There are several steps to take, and many considerations to take onboard, when building your own SQL Server monitoring strategy, so here are just a few pieces of guidance that will help you avoid common pitfalls.

SQL 122

SQL Database 122

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 138

Data Science Blog

SEPTEMBER 19, 2023

Documentation and Disaster Recovery Made Easy Data is the lifeblood of any organization, and losing it can be catastrophic. The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database. So why using IaC for Cloud Data Infrastructures?

Data Warehouse 259

Data Warehouse Azure SQL Database 259

Analytics Vidhya

MAY 31, 2023

Introduction In this guide, we will explore the fundamentals of MongoDB and delve into the essential CRUD (Create, Read, Update, Delete) operations that form the backbone of any database system.

Database 305

Database Analytics Analytics SQL 305

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

Data Science Dojo

MAY 1, 2023

The package is particularly well-suited for working with tabular data, such as spreadsheets or SQL tables, and provides powerful data cleaning, transformation, and wrangling capabilities. SQLAlchemy SQLAlchemy is a Python package that serves as both a SQL toolkit and an Object-Relational Mapping (ORM) library.

Python 215

Python Machine Learning Machine Learning Data Science 215

AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. For documentation retrieval, Retrieval Augmented Generation (RAG) stands out as a key tool. Virginia) AWS Region. The following diagram illustrates the solution architecture.

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AWS Machine Learning Machine Learning SQL 134

Hacker News

DECEMBER 1, 2023

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SQL Database 106

Data Science Dojo

MARCH 29, 2024

Usually, the ingestion stage consists of the following steps: Collect data Chunk data Generate vector embeddings of chunks Store vector embeddings and chunks in a vector database The efficiency and effectiveness of the data ingestion phase significantly influence the overall performance of the system. Finding the optimal balance is crucial.

Database 221

Database Clustering SQL Machine Learning 221

Smart Data Collective

FEBRUARY 20, 2022

Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. How can database activity monitoring (DAM) tools help avoid these threats? What is the role of machine learning in monitoring database activity? How do DAM solutions work?

Database 127

Database Machine Learning Machine Learning Data Warehouse 127

Towards AI

MARCH 7, 2024

Instead, we will leverage LangChain’s SQL Agent to generate complex database queries from human text. The documents should contain data with a bunch of specifications, alongside more fluid, natural language descriptions. Analyze the content of each document using GPT to parse it into JSON objects. I’m using Python 3.11.

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SQL Database Python Azure 59

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

ETL 138

ETL Data Warehouse Analytics Analytics 138

AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Database 121

Database AWS SQL ETL 121

Hacker News

FEBRUARY 16, 2024

call functions), read documents, and recursively call themselves. In this work, we show that LLM agents can autonomously hack websites, performing tasks as complex as blind database schema extraction and SQL injections without human feedback. As a result, these LLMs can now function autonomously as agents.

SQL 140

SQL Database 140

Pickl AI

DECEMBER 19, 2024

Summary: Stored procedure in SQL encapsulate reusable SQL code for efficient database management. Following best practices like error handling and version control ensures scalable, maintainable, and secure solutions for modern database operations. billionmastering these tools is essential for modern database management.

SQL 52

SQL Database Database Administration Python 52

Towards AI

DECEMBER 10, 2024

Created by the author Before the generative AI boom, the main way to search documents and company knowledge bases was either full-text search engines, like Apache Lucene, Elasticsearch, and Solr, or similar features in database engines, like Microsoft SQL Full Text Search, primitive keyword-based search or hardcore ML/ DataScience stuff.

AI 111

AI AI Database Artificial Intelligence 111

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

Towards AI

DECEMBER 10, 2024

Created by the author Before the generative AI boom, the main way to search documents and company knowledge bases was either full-text search engines, like Apache Lucene, Elasticsearch, and Solr, or similar features in database engines, like Microsoft SQL Full Text Search, primitive keyword-based search or hardcore ML/ DataScience stuff.

AI 105

AI AI Database Artificial Intelligence 105

Pickl AI

JULY 27, 2023

What is SQL? SQL stands for Structured Query Language. It is a standard programming language used for managing and manipulating relational databases. Here are some of the main features of SQL: Data Querying: SQL allows users to retrieve specific data from a database using the SELECT statement.

SQL 52

SQL Database Azure Data Science 52

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 SQL Database AI 97

Pickl AI

SEPTEMBER 3, 2024

Summary: The ALTER TABLE command in SQL is used to modify table structures, allowing you to add, delete, or alter columns and constraints. It is essential for adapting your database schema to evolving needs. Introduction The ALTER TABLE command in SQL is essential for modifying the structure of existing database tables.

SQL 52

SQL Database Data Analyst Data Engineering 52

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. The SQL is run by Amazon Athena to return the relevant data. To enable quick information retrieval, we use Amazon Kendra as the index for these documents.

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SQL AWS AI AI 134

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.

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AWS SQL Database AI 101

AWS Machine Learning Blog

NOVEMBER 15, 2024

This centralized system consolidates a wide range of data sources, including detailed reports, FAQs, and technical documents. The system integrates structured data, such as tables containing product properties and specifications, with unstructured text documents that provide in-depth product descriptions and usage guidelines.

Database 127

Database SQL K-nearest Neighbors Data Analysis 127

AWS Machine Learning Blog

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. The wrapper function runs the SQL query using psycopg2.

AWS 135

AWS SQL Database AI 135

Pickl AI

JULY 5, 2024

Summary: This blog dives into SQL ranking, a powerful tool for inventory management. Data Analytics, coupled with the power of SQL ranking functions , offers a potent weapon in this fight. Introduction to SQL Ranking Imagine a bustling marketplace, vendors vying for customer attention. electronics, clothing).

SQL 52

SQL Analytics Analytics Database 52

Smart Data Collective

SEPTEMBER 26, 2021

The raw data can be fed into a database or data warehouse. There are countless implementations to choose from, including SQL and NoSQL databases. A NoSQl database can use documents for the storage and retrieval of data. The central concept is the idea of a document. A document is susceptible to change.

Database 108

Database Data Visualization Big Data Big Data 108

IBM Journey to AI blog

OCTOBER 16, 2023

With Instana, you enjoy automated full-stack monitoring, from application performance to infrastructure, microservices, Kubernetes, databases, APIs, and beyond. SQL traces SQL tracing is not natively supported by SAP BTP Kyma. However, Instana can support SQL tracing.

SQL 84

SQL Database Clustering AI 84

Pickl AI

FEBRUARY 6, 2023

Preparing for the SQL interview questions to become more proficient in data science with example questions and a framework for answering them. Amongst the different tools that data scientists must have in their arsenal, SQL holds a special significance. This phase of the interview demands you to address real-world problems using SQL.

SQL 52

SQL Data Analyst Data Science Database 52

Flipboard

APRIL 11, 2023

CRDTs (Conflict Free Replicated Data Types) are behind tools like Google Docs, which lets multiple users edit a document simultaneously. Database Proliferation Years ago, I wrote that NoSQL wasn’t a database technology; it was a movement. There has been a proliferation of time series and graph databases.

Database 171

Database Python Clustering SQL 171