phData

NOVEMBER 8, 2024

Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It can also be integrated into major data platforms like Snowflake. Contact phData Today!

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

AWS Machine Learning Blog

JUNE 13, 2023

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

Database 92

Database SQL AWS AI 92

AWS Machine Learning Blog

JANUARY 4, 2024

To do this, the text input is transformed into a structured representation, and from this representation, a SQL query that can be used to access a database is created. The primary goal of Text2SQL is to make querying databases more accessible to non-technical users, who can provide their queries in natural language. gymnast_id = t2.

SQL 139

SQL Database AI AI 139

AWS Machine Learning Blog

NOVEMBER 12, 2024

The following question requires complex industry knowledge-based analysis of data from multiple columns in the ETF database. In entered the Big Data space in 2013 and continues to explore that area. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies.

SQL 107

SQL AWS AI AI 107

AWS Machine Learning Blog

NOVEMBER 22, 2023

Mai-Lan Tomsen Bukovec, Vice President, Technology | AIM250-INT | Putting your data to work with generative AI Thursday November 30 | 12:30 PM – 1:30 PM (PST) | Venetian | Level 5 | Palazzo Ballroom B How can you turn your data lake into a business advantage with generative AI?

AWS 135

AWS ML ML AI 135

Pickl AI

FEBRUARY 23, 2025

Microsoft Azure HDInsight Azure HDInsight is a fully-managed cloud service that makes it easy to process Big Data using popular open-source frameworks such as Hadoop, Spark, and Kafka. Key Features : Integration with Microsoft Services : Seamlessly integrates with other Azure services like Azure Data Lake Storage.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52