Smart Data Collective

NOVEMBER 24, 2021

One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences. In this article, we’ll take a closer look at why companies should seek new approaches to data analytics.

Data Analytics 316

Data Analytics Data Analytics Real-time Data Business Intelligence 316

Astera

APRIL 28, 2023

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Sisense

JULY 8, 2020

ETL tools can also typically offer more robust options for appending new data incrementally, or only updating new and modified rows, which can allow for more frequent loads, and closer to real-time data for the business. Many cloud data warehouses offer compute scaling that allows for dynamic scaling when needs spike.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Actian

JUNE 17, 2019

This isn’t enough to manage the data complexity of modern business. Digitally transformed business processes rely on real-time data to enable staff to make decisions and keep processes within the company operating smoothly.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

MAY 25, 2023

Amazon Redshift is a cloud-based data warehouse solution offered by Amazon Web Services that combines the scalability and cost effectiveness of traditional data warehouses with enhanced performance, real-time data access, and deep analytics capabilities. These include dimensional models and data vaults.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Astera

OCTOBER 27, 2023

Data Ingestion Layer: The data journey in a cloud data warehouse begins with the data ingestion layer, which is responsible for seamlessly collecting and importing data. This layer often employs ETL processes to ensure that the data is transformed and formatted for optimal storage and analysis.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

APRIL 24, 2024

Best for: Businesses looking for an end-to-end data management solution from extraction to data integration, data warehousing, and even API management. Alteryx Alteryx is a data analytics platform offering a suite of data aggregation tools. Ensure support for real-time data access if needed for operations.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52