Remove 2013 Remove Database Remove SQL
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Is web3 data storage ushering in a new era of privacy?

Dataconomy

Despite the furore that erupted after Cambridge Analytica, the dirty data problem hasn’t gone away: major breaches are commonplace, with a report by Apple last year indicating that the total number of data breaches tripled between 2013 and 2022. In the past two years alone, 2.6

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. The primary goal is to automatically generate SQL queries from natural language text. What percentage of customers are from each region?”

SQL 130
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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning Blog

NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below. NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below.

SQL 99
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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

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.

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Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

AWS Machine Learning Blog

Prerequisites For this post, the administrator needs the following prerequisites: A Snowflake user with administrator permission to create a Snowflake virtual warehouse, user, and role, and grant access to this user to create a database. Familiarity with Snowflake, basic SQL, the Snowsight UI, and Snowflake objects.

ML 77
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Data Lineage Through the Decades: Where It’s Going (And Where It’s Been)

Alation

The product collected an impressive amount of metadata, from the user interface to the database structure. It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. It then translated all that metadata into an image resembling a spider’s web.