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. or book a demo: https://cal.com/shreyashn/chonkie-demo. 200k+ tokens) with many SQL snippets, query results and database metadata (e.g.

Database 79

Database SQL ETL AI 79

Flipboard

DECEMBER 11, 2024

Data processing and SQL analytics Analyze, prepare, and integrate data for analytics and AI using Amazon Athena, Amazon EMR, AWS Glue, and Amazon Redshift. With the SQL editor, you can query data lakes, databases, data warehouses, and federated data sources. For Project name , enter a name (for example, demo).

SQL 160

SQL AWS Data Lakes AI 160

Flipboard

MAY 8, 2025

For example, with MCP an AI model could fetch information from a database, edit a design in Figma, or control a music app all by sending natural-language instructions through a standardized interface. Heres a demo of me creating a low-poly dragon guarding treasure scene in just a few sentences Video: Siddharth Ahuja 2.

Database 151

Database AI AI SQL 151

AWS Machine Learning Blog

SEPTEMBER 12, 2024

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. A pre-configured prompt template is used to call the LLM and generate a valid SQL query. The following diagram illustrates this workflow.

SQL 131

SQL AWS AI AI 131

phData

OCTOBER 29, 2024

You should have at least Contributor access to the workspace Download SQL Server Management Studio Step-by-Step Guide for Refreshing a Single Table in Power BI Semantic Model Using a demo data model, let’s walk through how to refresh a single table in a Power BI semantic model. Now, open SQL Server Management Studio (SSMS).

Power BI 52

Power BI SQL Database Azure 52

Flipboard

MAY 27, 2025

Essentially, the protocol ensures that whether an AI is talking to a design tool or a database, the handshake and query format are consistent. Services (applications/data sources) These are the actual apps, databases, or systems that the MCP servers interface with. The barrier to multistep, multisystem automation drops dramatically.

Database 113

Database AI AI SQL 113

AWS Machine Learning Blog

OCTOBER 24, 2024

Basic knowledge of a SQL query editor. Database name : Enter dev. Database user : Enter awsuser. A provisioned or serverless Amazon Redshift data warehouse. For this post we’ll use a provisioned Amazon Redshift cluster. A SageMaker domain. A QuickSight account (optional). Deploy the Cloudformation template to your account.

Data Warehouse 116

Data Warehouse Machine Learning Machine Learning Cloud Data 116

IBM Journey to AI blog

MARCH 14, 2024

Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation. By using fit-for-purpose databases, customers can efficiently run workloads, using the appropriate engine at the optimal cost to optimize analytics for the best price-performance.

AWS 93

AWS Database ETL AI 93

AWS Machine Learning Blog

FEBRUARY 18, 2025

The assistant is connected to internal and external systems, with the capability to query various sources such as SQL databases, Amazon CloudWatch logs, and third-party tools to check the live system health status. This removed a considerable amount of data in the ETL process even before ingesting into the knowledge base.

AWS 74

AWS Database ETL AI 74

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 158

Database AWS ETL SQL 158

Cambridge Intelligence

OCTOBER 25, 2023

Visualizing graph data doesn’t necessarily depend on a graph database… Working on a graph visualization project? You might assume that graph databases are the way to go – they have the word “graph” in them, after all. Do I need a graph database? It depends on your project. Unstructured? Under construction?

Database 64

Database Data Models Data Modeling Algorithm 64

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.

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AWS SQL Database AI 132

AWS Machine Learning Blog

NOVEMBER 14, 2024

In this post, we save the data in JSON format, but you can also choose to store it in your preferred SQL or NoSQL database. Run the Streamlit demo Now that you have the components in place and the invoices processed using Amazon Bedrock, it’s time to deploy the Streamlit application.

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AWS Python AI AI 113

Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? And if you want to see demos of some of this functionality, be sure to join us for the livestream of the Citus 12.0 Updates page. Let’s dive in!

Database 122

Database SQL Data Models Data Modeling 122

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. Enhanced Search and Retrieval Augmented Generation: Vector search systems work by matching queries with embeddings in a database.

Python 52

Python Database SQL Machine Learning 52

Flipboard

APRIL 16, 2025

Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. The function updates the asset inventory database with the new extracted data.

AWS 109

AWS Database AI AI 109

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

ODSC - Open Data Science

FEBRUARY 13, 2023

Topics include python fundamentals, SQL for data science, statistics for machine learning, and more. Deep Learning with Tensorflow 2 and Pytorch Originally recorded as a live training, this session serves as a primer on deep learning theory that will bring the revolutionary machine learning approach to life with hands-on demos.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Enter a stack name, such as Demo-Redshift. yaml locally. For Prepare template , select Template is ready.

ML 123

ML ML AWS Data Warehouse 123

IBM Journey to AI blog

APRIL 8, 2024

The new Amazon Relational Database Service (Amazon RDS) for Db2 offering allows customers to migrate their existing, self-managed Db2 databases to the cloud and accelerate strategic modernization initiatives. AWS ran a live demo to show how to get started in just a few clicks. Where can I provide feedback?

AWS 87

AWS Database Data Warehouse Analytics 87

Hacker News

JUNE 8, 2025

It even met the stringent requirement I put on it: I asked it if it could avoid saving a token per user, and instead use the global private credentials of the app to drive everything to keep the database simple. I learned an odd way of using SQL at Tailscale (from Brad and Maisem): make every table a JSON object.

SQL 75

SQL Database Clustering AWS 75

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145

Tableau ML ML Database 145

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. These models are the technology behind Open AI’s DALL-E and GPT-3 , and are powerful enough to understand natural language commands and generate high-quality code to instantly query databases.

Database 124

Database AI AI Natural Language Processing 124

ODSC - Open Data Science

APRIL 28, 2025

This hands-on workshop walks you through constructing adaptive retrieval pipelines, implementing feedback loops, and retraining models using open-source graph databases. Whether youre here for hands-on Jupyter demos or just to drop some buzzwords at your next meeting, youll walk away ready to rethink what RAG canbe.

Data Scientist 52

Data Scientist ML AI ML 52

IBM Journey to AI blog

SEPTEMBER 25, 2023

This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success. This allowed them to focus on SQL-based query optimization to the nth degree. They stood up a file-based data lake alongside their analytical database.

Data Lakes 102

Data Lakes Analytics Analytics Clustering 102

phData

JULY 19, 2023

It exposes new interfaces for development in Python , Scala, or Java to supplement Snowflake’s original SQL interface. SQL is, of course, the lingua franca for data, but there are many applications and development teams that rely heavily on other languages. What’s New with Snowpark? ” Of course! conda create -n snowpark python=3.8

Python 52

Python SQL Database 52

phData

JULY 19, 2023

It exposes new interfaces for development in Python , Scala, or Java to supplement Snowflake’s original SQL interface. SQL is, of course, the lingua franca for data, but there are many applications and development teams that rely heavily on other languages. What’s New with Snowpark? ” Of course! conda create -n snowpark python=3.8

Python 52

Python SQL Database 52

IBM Journey to AI blog

OCTOBER 17, 2023

A business event is represented by a change in state of the data flowing between your applications, systems and databases and, most importantly, the time it occurred. A business event can describe anything that happens which is significant to an enterprise’s operation.

Data Analyst 94

Data Analyst Data Visualization Business Intelligence Business Intelligence 94

phData

MAY 31, 2023

From there, ChatGPT generates a SQL query which is then executed in the Snowflake Data Cloud , and the results are brought back into the application in a table format. In this case, after the SQL query is executed on Snowflake, it is converted into a Python dataframe, and basic graphic code is executed to generate the image.

SQL 52

SQL Data Models Data Modeling Database 52

phData

JULY 29, 2023

We’ve been focusing on two key areas: Microsoft SQL Server to Snowflake Data Cloud SQL translations and our new Advisor tool within the phData Toolkit. SQL Translation Updates When customers are looking to migrate between platforms, there’s always a challenge in migrating existing code. Let’s dive in.

SQL 52

SQL Database Data Pipeline 52

AWS Machine Learning Blog

JUNE 4, 2024

In this demo, an outbound call is made using the CreateSipMediaApplicationCall API. And what are you using for your database ? spk_1: Oh , yeah , for a database , we currently have a 200 gigabyte database running my as to will and I can’t remember the version. But um the thing about our database is sometimes it lags.

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AWS Database AI AI 121

ODSC - Open Data Science

MARCH 2, 2023

SQL Databases might sound scary, but honestly, they’re not all that bad. And much of that is thanks to SQL (Structured Query Language). Believe it or not, SQL is about to celebrate its fiftieth birthday next year as it was first developed in 1974 as part of IBM’s System R Project. Learning is learning.

Data Science 52

Data Science SQL Deep Learning Deep Learning 52

phData

SEPTEMBER 7, 2023

Over the last month, we’ve been heavily focused on adding additional support for SQL translations to our SQL Translations tool. Specifically, we’ve been introducing fixes and features for our Microsoft SQL Server to Snowflake translation. This is where the SQL Translation tool can be a massive accelerator for your migration.

SQL 52

SQL Data Profiling Data Pipeline Database 52

Smart Data Collective

JULY 22, 2019

With the help of SQL and R, this tool analyzes your data and turns it into pretty interactive dashboards within minutes. You can add time-based and custom filters, write SQL, get charts, and share dashboards with the team. Its analytics can integrate with different SQL databases and different data warehouses.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

The MLOps Blog

MAY 10, 2023

To ensure security and JSON/pickle benefits, you can save your model to a dedicated database. Next, you will see how you can save an ML model in a database. Storing ML models in a database There is also scope for you to save your ML models in relational databases PostgreSQL , MySQL , Oracle SQL , etc.

Python 105

Python ML ML Database 105

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. SQL excels with big data and statistics, making it important in order to query databases.

Analytics 52

Analytics Analytics Data Analyst Data Science 52