Data Science Blog

MAY 20, 2024

It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL. Support for Various Data Warehouses and Databases : AnalyticsCreator supports MS SQL Server 2012-2022, Azure SQL Database, Azure Synapse Analytics dedicated, and more. Mixed approach of DV 2.0

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

Database 59

Database Azure Analytics Analytics 59

AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. Opportunities for innovation CreditAI by Octus version 1.x x uses Retrieval Augmented Generation (RAG).

AWS 116

AWS Database AI AI 116

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

Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) Deploy LLMs in production Deploy Model Azure —  Use endpoints for inference — Azure Machine Learning | Microsoft Learn AWS + Huggingface —  Exporting ?

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

phData

MARCH 22, 2024

Iceberg tables in Snowflake Data Cloud are a new type of table where the actual data is stored outside Snowflake in a public cloud object storage location (Amazon S3, Google Cloud Storage, or Azure Storage) in Apache Iceberg table format which can be accessed by Snowflake using objects called external volume and catalog integration.

SQL 52

SQL AWS Database Data Lakes 52

DataRobot

SEPTEMBER 14, 2021

Since DataRobot was founded in 2012, we’ve been committed to democratizing access to the power of AI. DataRobot AI Cloud brings together any type of data from any source to give our customers a holistic view that drives their business: critical information in databases, data clouds, cloud storage systems, enterprise apps, and more.

AI 52

AI AI Data Pipeline Data Preparation 52