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. Our final solution is a combination of these text-to-SQL and text-RAG approaches. The following table contains some example responses.

SQL 132

SQL AWS AI AI 132

ML Review

DECEMBER 16, 2019

Let’s check out the goodies brought by NeurIPS 2019 and co-located events! Balažević et al (creators of TuckER model from EMNLP 2019 ) apply hyperbolic geometry to knowledge graph embeddings in their Multi-Relational Poincaré model ( MuRP ). Graphs were well represented at the conference. Thank you for reading!

Machine Learning 52

Machine Learning Machine Learning Algorithm Database 52

IBM Journey to AI blog

JANUARY 10, 2023

Netezza Performance Server (NPS) has recently added the ability to access Parquet files by defining a Parquet file as an external table in the database. All SQL and Python code is executed against the NPS database using Jupyter notebooks, which capture query output and graphing of results during the analysis phase of the demonstration.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

phData

JUNE 8, 2023

Enter Power BI Report Builder, a tool that was released by Microsoft in 2019 that enables users to design and create paginated reports and then share them via Power BI service. The data sources with a “*” indicate that they require a Power BI gateway in order to access and share reports on the Power BI service.

Power BI 90

Power BI SQL Azure Database 90

DagsHub

DECEMBER 11, 2023

DVC lacks crucial relational database features, making it an unsuitable choice for those familiar with relational databases. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. Most developers are familiar with Git for source code versioning.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Tableau

DECEMBER 1, 2021

The Salesforce purchase in 2019. 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 OEM contract with the database company Hyperion—that’s when I was hired.

Tableau 98

Tableau ML ML Database 98

phData

NOVEMBER 8, 2024

2019 - Delta Lake Databricks released Delta Lake as an open-source project. With the introduction of SQL capabilities, they are accessible to users who are accustomed to querying relational databases What is an External Table? It can also be integrated into major data platforms like Snowflake.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Smart Data Collective

JANUARY 24, 2020

The most vital aspect of automating power bi DevOps is to understand the main pillars in the SQL DevOps cycle. In 2019, expect a seismic shift from CI pipelines to DevOps assembly lines. They can also spin up a new instance, automatically restore the database from a backup, or provision other recovery options.

Power BI 120

Power BI SQL Business Intelligence Business Intelligence 120

AWS Machine Learning Blog

NOVEMBER 27, 2023

According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. Access to Amazon OpenSearch as a vector database. The choice of vector database is an important architectural decision. In this example, we have chosen Amazon OpenSearch as our vector database.

Data Preparation 110

Data Preparation AI AI Python 110

phData

MAY 25, 2023

Figure 1: Magic Quadrant Cloud Database Systems Source: Gartner (December 2021) Power BI is a data visualization and analysis tool that is one of the four tools within Microsoft’s Power Platform. The December 2019 release of Power BI Desktop introduced a native Snowflake connector that supported SSO and did not require driver installation.

Power BI 84

Power BI Analytics Analytics Azure 84

Tableau

JULY 28, 2020

These tips can be used in any of your Prep flows but will have the most impact on your flows that connect to large database tables. This database table—dating back to 2019—contains a whopping 14.5 In this example, the SQL query took over 38 minutes to complete in the native database portal. billion records!

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

Tableau

JULY 28, 2020

These tips can be used in any of your Prep flows but will have the most impact on your flows that connect to large database tables. This database table—dating back to 2019—contains a whopping 14.5 In this example, the SQL query took over 38 minutes to complete in the native database portal. billion records!

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

Alation

FEBRUARY 13, 2020

For instance, just like rating, reviewing and sharing a tourist spot on TripAdvisor you can start a conversation on a data object like a table, column, BI report or even a SQL query within Alation; endorse, warn or deprecate it as well as share it with another user or group. Get the 2019 Dresner Data Catalog Study.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

Flipboard

APRIL 13, 2023

To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters. Today, we’re excited to announce the general availability of Amazon CodeWhisperer for Python, Java, JavaScript, TypeScript, and C#—plus ten new languages, including Go, Kotlin, Rust, PHP, and SQL.

AWS 182

AWS ML ML AI 182

phData

JANUARY 31, 2024

Streamlit, an open-source Python package for building web-apps, has grown in popularity since its launch in 2019. Snowflake Dynamic Tables are a new(ish) table type that enables building and managing data pipelines with simple SQL statements. What was once a SQL-based data warehousing tool is now so much more.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

The MLOps Blog

AUGUST 3, 2023

Stefan: Back in 2019. My team had per view in terms of build versus buy, we’d been looking at like across the stack, and like we were seeing we created Hamilton back in 2019, and we were seeing very similar-ish things come out and be open-source – we’re like, “hey, I think we have a unique angle.” Stefan: Yeah.

ML 52

ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

OCTOBER 11, 2024

This post dives deep into Amazon Bedrock Knowledge Bases , which helps with the storage and retrieval of data in vector databases for RAG-based workflows, with the objective to improve large language model (LLM) responses for inference involving an organization’s datasets. The LLM response is passed back to the agent.

Database 106

Database AWS Clustering Data Lakes 106

The MLOps Blog

MARCH 20, 2025

For example, GPT-3 was trained on a web crawl dataset that included data collected up to 2019. A memory could be a structured database, a store for natural language, or a vector index that stores embeddings. These chunks are stored in a vector database, which indexes data with embeddings. What about the tools in LLM agents?

Azure 59

Azure Python Database Algorithm 59