Data Science Dojo

MARCH 8, 2024

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information. Rules are put in place by databases to ensure data integrity and minimize redundancy.

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Database Natural Language Processing Clustering SQL 370

Data Science Dojo

JANUARY 30, 2024

Traditional hea l t h c a r e databases struggle to grasp the complex relationships between patients and their clinical histories. Vector databases are revolutionizing healthcare data management. Unlike traditional, table-like structures, they excel at handling the intricate, multi-dimensional nature of patient information.

Database 361

Database K-nearest Neighbors Natural Language Processing Algorithm 361

Data Science Dojo

NOVEMBER 27, 2024

To keep up with these rapid developments, it’s crucial to stay informed through reliable and insightful sources. In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.

Data Science 370

Data Science Natural Language Processing AI AI 370

Analytics Vidhya

JANUARY 16, 2024

Introduction Searching for specific patterns within the data is often necessary when working with databases. The LIKE operator allows you to perform pattern matching on text data, making it a powerful tool for filtering and retrieving information from a database. This is where the SQL LIKE operator comes in handy.

SQL 306

SQL Database Analytics Analytics 306

insideBIGDATA

MARCH 7, 2023

Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Deep Learning 515

Deep Learning Deep Learning Big Data Big Data 515

Data Science Dojo

MARCH 27, 2025

It powers business decisions, drives AI models, and keeps databases running efficiently. Without proper organization, databases become bloated, slow, and unreliable. Essentially, data normalization is a database design technique that structures data efficiently. Think about itdata is everywhere.

Database 195

Database Data Warehouse Machine Learning Machine Learning 195

Dataconomy

APRIL 13, 2025

Vector databases play a pivotal role in managing complex data environments, especially in the realms of artificial intelligence and machine learning. These databases allow for rapid processing, enabling applications from semantic search to fraud detection, thereby enhancing user experiences and security. What are vector databases?

Database 116

Database Big Data Big Data Machine Learning 116

Flipboard

MAY 23, 2025

In this post, we describe a solution to integrate generative AI applications with relational databases like Amazon Aurora PostgreSQL-Compatible Edition using RDS Data API (Data API) for simplified database interactions, Amazon Bedrock for AI model access, Amazon Bedrock Agents for task automation and Amazon Bedrock Knowledge Bases for context information (..)

Database 138

Database AI AI SQL 138

insideBIGDATA

MAY 8, 2023

Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Deep Learning 444

Deep Learning Deep Learning Big Data Big Data 444

insideBIGDATA

FEBRUARY 13, 2023

Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Deep Learning 440

Deep Learning Deep Learning Big Data Big Data 440

insideBIGDATA

JUNE 6, 2023

Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Deep Learning 433

Deep Learning Deep Learning Big Data Big Data 433

Machine Learning Research at Apple

APRIL 9, 2025

Nearest neighbour search over dense vector collections has important applications in information retrieval, retrieval augmented generation (RAG), and content ranking. Performing efficient search over large vector collections is a well studied problem with many existing approaches and open source implementations.

Database 130

Database 130

AWS Machine Learning Blog

JANUARY 15, 2025

By employing a multi-modal approach, the solution connects relevant data elements across various databases. The solution is designed to provide customers with a detailed, personalized explanation of their preferred features, empowering them to make informed decisions.

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AWS SQL AI AI 109

Analytics Vidhya

JULY 5, 2024

Introduction In relational databases, where data is meticulously organized in tables, understanding their structure is essential. SQL’s DESCRIBE (or DESC in some database systems) command gives you to become a data detective, peering into the internal makeup of your tables and extracting valuable information.

SQL 319

SQL Database Analytics Analytics 319

insideBIGDATA

OCTOBER 23, 2023

Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Deep Learning 418

Deep Learning Deep Learning Big Data Big Data 418

AWS Machine Learning Blog

NOVEMBER 14, 2024

This approach not only enhances efficiency, but also provides valuable insights that can help automotive businesses make more informed decisions. The information contained in these datasets—the images and the corresponding metadata—is converted to numerical vectors using a process called multimodal embedding.

Database 106

Database AWS AI AI 106

Data Science Dojo

OCTOBER 4, 2024

According to the Bureau of Labor Statistics , the outlook for information technology and computer science jobs is projected to grow by 15 percent between 2021 and 2031, a rate much faster than the average for all occupations. Future of the Role The demand for Information Security Analysts is expected to grow substantially.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Flipboard

FEBRUARY 21, 2025

Artificial intelligence (AI) has transformed how humans interact with information in two major wayssearch applications and generative AI. AWS recommends Amazon OpenSearch Service as a vector database for Amazon Bedrock as the building blocks to power your solution for these workloads.

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Database AI AI ML 117

insideBIGDATA

MAY 18, 2023

Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Deep Learning 396

Deep Learning Deep Learning Big Data Big Data 396

Hacker News

MAY 22, 2025

Yet structured and semi-structured relational data, which represent some of the most valuable information assets, largely miss out on this AI wave.

Database 145

Database AI AI 145

Analytics Vidhya

JANUARY 17, 2024

Introduction Structured Query Language (SQL) is the backbone of relational database management systems, empowering users to interact with and retrieve information from databases. When working with databases, sorting the data in a specific order is often necessary to make it more meaningful and easier to analyze.

SQL 318

SQL Database Analytics Analytics 318

Analytics Vidhya

OCTOBER 1, 2024

This option is used for filtering records in order to give out specific data from the database files. Suppose you have a huge list of customers storing their information in your database; you need to search for customers from a specific […] The post Understanding SQL WHERE Clause appeared first on Analytics Vidhya.

SQL 270

SQL Database Analytics Analytics 270

databricks

JUNE 11, 2025

Published: June 11, 2025 Announcements 5 min read by Ali Ghodsi , Stas Kelvich , Heikki Linnakangas , Nikita Shamgunov , Arsalan Tavakoli-Shiraji , Patrick Wendell , Reynold Xin and Matei Zaharia Share this post Keep up with us Subscribe Summary Operational databases were not designed for today’s AI-driven applications.

Database 147

Database Data Lakes ETL Analytics 147

Flipboard

DECEMBER 18, 2024

“Carbon will make it easier for Perplexity’s answer engine to be informed by diverse sources of information, whether that data resides in internal databases, cloud storage, or document repositories.” ” Carbon raised a $1.3 million seed round in 2023.

Computer Science 158

Computer Science Computer Science Database AI 158

Analytics Vidhya

JUNE 10, 2024

Introduction In SQL, comparison operators are crucial for querying databases. It excludes specific data from query results, making it vital for database management. This operator refines data retrieval, ensuring you get relevant information. They help compare values and filter data based on conditions.

SQL 306

SQL Database Analytics Analytics 306

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 117

Database AWS SQL ETL 117

Analytics Vidhya

JUNE 18, 2024

Introduction Ever wonder how to get a complete picture of your company from different databases? This lets you analyze and report on all your information at once. SQL can help! Merging data from tables is like putting puzzle pieces together. In this article, we’ll explore how to use SQL queries like JOIN, UNION, etc.

SQL 318

SQL Database Analytics Analytics 318

Analytics Vidhya

JUNE 13, 2024

Introduction When working with databases and analyzing data, ranking records is very important for organizing information based on certain conditions. One ranking function called `DENSE_RANK()` is useful because it assigns ranks to rows without leaving any empty spaces or gaps.

SQL 306

SQL Database Analytics Analytics 306

Data Science Dojo

JANUARY 22, 2025

Retrieval-Augmented Generation (RAG) In advanced systems, embeddings are used to retrieve relevant information from external datasets during the text generation process. Hence, it is a smart way to find information by looking at the meaning behind data instead of exact keywords.

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Database ML ML AI 195

Data Science Dojo

OCTOBER 24, 2024

As a result, the enterprise can build a chatbot capable of understanding and responding to customer inquiries with context-aware, accurate information, significantly reducing response times and enhancing customer satisfaction. It will ensure seamless integration of the business’s internal knowledge base and external data sources.

Database 459

Database Natural Language Processing AI AI 459

Data Science Dojo

MARCH 18, 2024

Yet, despite these impressive capabilities, their limitations became more apparent when tasked with providing up-to-date information on global events or expert knowledge in specialized fields. Revisit the best large language models of 2023 Enter RAG and finetuning RAG revolutionizes the way language models access and use information.

Database 369

Database Natural Language Processing AI AI 369

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

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 152

SQL Database AWS ML 152

Data Science Dojo

OCTOBER 23, 2023

Experts in the field teach these concepts, giving you the assurance of receiving the latest information. Any serious applications of LLMs require an understanding of nuances in how LLMs work, embeddings, vector databases, retrieval augmented generation (RAG), orchestration frameworks, and more. What is vector similarity search?

Database 370

Database Data Analysis Data Analysis Artificial Intelligence 370

Dataversity

JUNE 5, 2025

We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moores Law: faster processing, denser storage, and greater bandwidth.

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Analytics Analytics Data Governance SQL 96