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AWS Blog SQL 
APRIL 24, 2025
This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment.
143 
databricks
MAY 18, 2023
Today, we are thrilled to announce that serverless compute for Databricks SQL is Generally Available on AWS and Azure! Databricks SQL (DB SQL).
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databricks
AUGUST 13, 2024
Databricks SQL Serverless is now Generally Available on Google Cloud Platform (GCP)! SQL Serverless is available in 7 GCP regions and 40+ regions across AWS, Azure and GCP.
328 
databricks
NOVEMBER 5, 2024
We’re excited to announce that materialized views (MVs) and streaming tables (STs) are now Generally Available in Databricks SQL on AWS and Azure.
331 
Analytics Vidhya
AUGUST 25, 2022
This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. The post Using AWS Athena and QuickSight for Data Analysis appeared first on Analytics Vidhya. Introduction Ever wondered how to query and analyze raw data? Also, have you ever tried doing this with Athena and QuickSight?
378 
databricks
MARCH 6, 2023
Today, we are excited to announce the public preview of the Databricks SQL Statement Execution API, available on AWS and Azure. You can.
279 
databricks
JUNE 27, 2023
We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming.
263 
AWS Machine Learning Blog
DECEMBER 11, 2024
Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.
109 
databricks
OCTOBER 13, 2023
Today, we are excited to announce the general availability of the Databricks SQL Statement Execution API on AWS and Azure, with support for.
263 
AWS Machine Learning Blog
NOVEMBER 7, 2024
It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. On AWS, you can use the fully managed Amazon Bedrock Agents or tools of your choice such as LangChain agents or LlamaIndex agents.
113 
AWS Machine Learning Blog
APRIL 3, 2025
This post explores how OMRON Europe is using Amazon Web Services (AWS) to build its advanced ODAP and its progress toward harnessing the power of generative AI. Some of these tools included AWS Cloud based solutions, such as AWS Lambda and AWS Step Functions.
85 
AWS Machine Learning Blog
DECEMBER 16, 2024
We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressionsand to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative AI applications. Canva uses AWS to power 1.2
101 
NOVEMBER 27, 2024
Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL, business intelligence (BI), and reporting tools. Choose the us-east-1 AWS Region in which to create the stack. Create dbt models in dbt Cloud.
138 
AWS Machine Learning Blog
MARCH 10, 2025
We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.
111 
AWS Machine Learning Blog
NOVEMBER 12, 2024
In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. You may check out additional reference notebooks on aws-samples for how to use Meta’s Llama models hosted on Amazon Bedrock.
119 
databricks
APRIL 17, 2024
The next generation of Databricks SQL dashboards, also known as Lakeview Dashboards, is now generally available on AWS and Azure. This new dashboarding experience is optimized for ease of use, scalable and secure distribution, governance, and performance.
264 
AWS Machine Learning Blog
FEBRUARY 21, 2025
Communication between the two systems was established through Kerberized Apache Livy (HTTPS) connections over AWS PrivateLink. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. Rockets new data science solution architecture on AWS is shown in the following diagram.
80 
AWS Machine Learning Blog
DECEMBER 4, 2024
SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.
106 
databricks
AUGUST 2, 2023
We're excited to share a new set of security controls and compliance certifications that can help with regulatory compliance on Azure Databricks and.
245 
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. Prerequisites To perform this solution, complete the following: Create and activate an AWS account. Make sure your AWS credentials are configured correctly. Install Python 3.7
111 
AWS Machine Learning Blog
APRIL 16, 2024
They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.
126 
AWS Machine Learning Blog
FEBRUARY 28, 2024
Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL.
142 
AWS Machine Learning Blog
MAY 30, 2024
Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. AWS Prototyping developed an AWS Cloud Development Kit (AWS CDK) stack for deployment following AWS best practices.
129 
AWS Machine Learning Blog
NOVEMBER 20, 2024
In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. In this post, we use IAM Identity Center as the SAML 2.0-aligned
111 
Data Science Blog
SEPTEMBER 19, 2023
The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database. AWS CloudFormation is a service offered by Amazon Web Services (AWS) that allows you to define cloud infrastructure in JSON or YAML templates. appeared first on Data Science Blog.
259 
AWS Machine Learning Blog
AUGUST 8, 2024
As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries.
127 
AWS Machine Learning Blog
OCTOBER 24, 2024
Prerequisites Before you begin, make sure you have the following prerequisites in place: An AWS account and role with the AWS Identity and Access Management (IAM) privileges to deploy the following resources: IAM roles. Basic knowledge of a SQL query editor. A provisioned or serverless Amazon Redshift data warehouse.
113 
APRIL 13, 2023
At AWS, we have played a key role in democratizing ML and making it accessible to anyone who wants to use it, including more than 100,000 customers of all sizes and industries. AWS has the broadest and deepest portfolio of AI and ML services at all three layers of the stack. Today’s FMs, such as the large language models (LLMs) GPT3.5
182 
AWS Machine Learning Blog
AUGUST 1, 2024
To address this challenge, AWS recently announced the preview of Amazon Bedrock Custom Model Import , a feature that you can use to import customized models created in other environments—such as Amazon SageMaker , Amazon Elastic Compute Cloud (Amazon EC2) instances, and on premises—into Amazon Bedrock.
126 
AWS Machine Learning Blog
FEBRUARY 13, 2025
Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using Amazon Web Services (AWS) services without having to manage infrastructure. AWS Lambda The API is a Fastify application written in TypeScript.
113 
AWS Machine Learning Blog
JUNE 20, 2024
The data is stored in a data lake and retrieved by SQL using Amazon Athena. The following figure shows a search query that was translated to SQL and run. Data is normally stored in databases, and can be queried using the most common query language, SQL. Constructing SQL queries from natural language isn’t a simple task.
115 
JUNE 26, 2023
In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. Run the AWS Glue ML transform job.
123 
AWS Machine Learning Blog
SEPTEMBER 13, 2024
Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging.
101 
AWS Machine Learning Blog
MARCH 12, 2024
In this post, we explore what an audience overlap analysis is, discuss the current technical approaches and their challenges, and illustrate how you can run secure audience overlap analysis using AWS Clean Rooms. With AWS Clean Rooms, you can create a data clean room in minutes and collaborate with your partners to generate unique insights.
129 
DECEMBER 11, 2024
Discover your data and put it to work using familiar AWS tools to complete end-to-end development workflows, including data analysis, data processing, model training, generative AI app building, and more, in a single governed environment. With the SQL editor, you can query data lakes, databases, data warehouses, and federated data sources.
160 
AWS Machine Learning Blog
DECEMBER 6, 2023
To overcome these limitations, we propose a solution that combines RAG with metadata and entity extraction, SQL querying, and LLM agents, as described in the following sections. Typically, these analytical operations are done on structured data, using tools such as pandas or SQL engines.
126 
AWS Machine Learning Blog
AUGUST 30, 2024
With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. Meta Llama 3’s capabilities enhance accuracy and efficiency in understanding and generating SQL queries from natural language inputs.
90 
AWS Machine Learning Blog
FEBRUARY 12, 2025
This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. For details, refer to Creating an AWS account. Be sure to set up your AWS Command Line Interface (AWS CLI) credentials correctly. For more information, refer Configure the AWS CLI.
78 
Dataversity
MARCH 26, 2024
Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration.
64 
AWS Machine Learning Blog
SEPTEMBER 19, 2023
Implementing a multi-modal agent with AWS consolidates key insights from diverse structured and unstructured data on a large scale. All this is achieved using AWS services, thereby increasing the financial analyst’s efficiency to analyze multi-modal financial data (text, speech, and tabular data) holistically.
134 
AWS Machine Learning Blog
SEPTEMBER 18, 2024
In addition to its groundbreaking AI innovations, Zeta Global has harnessed Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a multitude of smaller models efficiently. IAM roles : Assign appropriate AWS Identity and Access Management (IAM) roles to the tasks for accessing other AWS resources securely.
121 
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.
128 
IBM Journey to AI blog
JUNE 11, 2024
Further to the acquisition, Broadcom decided to discontinue (link resides outside ibm.com) its AWS authorization to resell VMware Cloud on AWS as of 30 April 2024. As a result, AWS will no longer be able to offer new subscriptions or additional services.
85 
AWS Machine Learning Blog
JANUARY 4, 2024
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?”
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