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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

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Best Used Servers for Databases and Cloud Computing

Smart Data Collective

MS SQL Server. As a relational database management system, this server uses the Transact-SQL query language and is good for large databases. If you’re looking for a database server, you’ll need something built for the job. There are several different options, and they all fulfill different jobs based on their unique schema.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Solution overview The following figure illustrates our system architecture for CreditAI on AWS, with two key paths: the document ingestion and content extraction workflow, and the Q&A workflow for live user query response. In the following sections, we dive into crucial details within key components in our solution.

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What are the Biggest Challenges with Migrating to Snowflake?

phData

The tool converts the templated configuration into a set of SQL commands that are executed against the target Snowflake environment. Manually converting this code to work in Snowflake can be very challenging with differences in data processing paradigms, query languages, and overall system architecture.

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How Fivetran and Snowflake Optimize Supply Chain Operations

phData

explore Increase Speed of Insights With Faster Data Movement Supply chain organizations often struggle with making effective use of their data due to poor system architecture, which results in significant data lag; this lag creates bottlenecks for decision making.

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Top Big Data Interview Questions for 2025

Pickl AI

Hive is a data warehouse tool built on Hadoop that enables SQL-like querying to analyse large datasets. Hive provides SQL-like querying, schema-on-read functionality, and compatibility with Hadoop for large-scale Data Analysis. These questions often focus on advanced frameworks, system architectures, and performance-tuning techniques.

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Data Intelligence empowers informed decisions

Pickl AI

Excel, SQL), and attention to detail Gain practical experience through internships, online courses, and work on real-world projects. Data Architect Designs and creates data systems and structures for optimal organisation and retrieval of information. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g.,