AWS Machine Learning - AI
FEBRUARY 29, 2024
Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. RAG is a popular technique that combines the use of private data with large language models (LLMs).
Altexsoft
MARCH 16, 2021
In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.
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Apiumhub
MARCH 26, 2019
GSAS is a one day summit which aims to connect software architects from all over the world as well as all those software experts who build working software and want to improve their skills, share knowledge, and connect with like-minded people. Cloud Scalability. … Álvaro García. Hexagonal architecture. Effective Architecture Practices.
Altexsoft
SEPTEMBER 9, 2022
In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Ensure its scalability and integrability. Types of metadata.
AWS Machine Learning - AI
FEBRUARY 1, 2024
In the batch case, there are a couple challenges compared to typical data pipelines. The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. Scalability – How many vectors can the system hold?
Altexsoft
JUNE 20, 2019
However, scalability can be a challenge with SQL databases. Scalability challenges. MySQL was not built with scalability in mind,which is inherent in its code. Since MariaDB is close to MySQL it can be used to work with the same types of web-based applications. Horizontally scalable solution. Cons of MySQL.
Apiumhub
APRIL 27, 2021
Benefits of Data Mining. Data mining helps companies to get knowledge-based information. It can be implemented in new systems as well as existing platforms Data mining helps organizations to make the profitable adjustments in operation and production. Accelerate the pace of making informed decisions.
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