Remove Data Architecture Remove Measurement Remove Structured Data
article thumbnail

Incremental refresh for Amazon Redshift materialized views on data lake tables

AWS Big Data

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. We refreshed all 34 materialized views using incremental refresh and measured refresh latencies. We ran the inserts and deletes with Spark SQL on EMR serverless.

Data Lake 105
article thumbnail

3 ways SJ is able to fuel its digital journey

CIO Business Intelligence

A lot of data to structure Work is also underway to structure data thats scattered in many places. Theres a considerable amount of old data, specifically from old trains, and there has to be robust traceability when it comes to train traffic. The basis is test, measure, and learn.

IT 71
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Need for a data mesh architecture Because entities in the EUROGATE group generate vast amounts of data from various sourcesacross departments, locations, and technologiesthe traditional centralized data architecture struggles to keep up with the demands for real-time insights, agility, and scalability.

IoT 111
article thumbnail

What is data governance? Best practices for managing data assets

CIO Business Intelligence

Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

article thumbnail

Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

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.

Big Data 100
article thumbnail

Migrate a petabyte-scale data warehouse from Actian Vectorwise to Amazon Redshift

AWS Big Data

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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

article thumbnail

Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

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.