Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. But there are also a host of other issues (and cautions) to take into consideration. Another concern relates to the definition of ‘data constraints.’

Modeling 98

Modeling Management Structured Data Data Architecture 98

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The system had an integration with legacy backend services that were all hosted on premises.

Data Warehouse 92

Data Warehouse Data Lake Cost-Benefit Structured Data 92

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Self-Service.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. For other organizations, the desired data mesh might look different and the approach might have other learnings.

Data-driven 92

Data-driven Advertising Metadata Data Architecture 92

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 74

Data Strategy Strategy Data Warehouse Prescriptive Analytics 74

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. In our use case, we use Redshift Query Editor to create data marts using SQL code.

Data Lake 68

Data Lake Machine Learning Data Architecture Data-driven 68

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 96

Data Lake Data Warehouse B2B Data-driven 96