This post is co-written with Sid Wray, Jade Koskela, and Adiascar Cisneros from SalesForce. Amazon Redshift and Tableau empower data analysis. Amazon Redshift is a cloud data warehouse that processes complex queries at scale and with speed. Its advanced query optimization serves results to Tableau. Tableau’s extensive capabilities and enterprise connectivity help analysts efficiently prepare,…
The rapid adoption of software as a service (SaaS) solutions has led to data silos across various platforms, presenting challenges in consolidating insights from diverse sources. Effective data analytics relies on seamlessly integrating data from disparate systems through identifying, gathering, cleansing, and combining relevant data into a unified format. AWS Glue, a serverless data integration…
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In February 2024, we announced the release of the Data Solutions Framework (DSF), an opinionated open source framework for building data solutions on AWS. DSF is built using the AWS Cloud Development Kit (AWS CDK) to package infrastructure components into L3 AWS CDK constructs on top of AWS services. L3 constructs are implementations of common…
In the context of Retrieval-Augmented Generation (RAG), knowledge retrieval plays a crucial role, because the effectiveness of retrieval directly impacts the maximum potential of large language model (LLM) generation. Currently, in RAG retrieval, the most common approach is to use semantic search based on dense vectors. However, dense embeddings do not perform well in understanding…
Amazon Redshift, a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. Whether your data resides in operational databases, data lakes, on-premises systems, Amazon Elastic Compute Cloud (Amazon EC2), or other AWS services, Amazon Redshift provides multiple ingestion methods to meet your specific needs. The currently…