Astera

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

MAY 30, 2024

The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

SEPTEMBER 28, 2023

Data Quality: ETL facilitates data quality management , crucial for maintaining a high level of data integrity, which, in turn, is foundational for successful analytics and data-driven decision-making. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

NOVEMBER 13, 2023

In industries like finance, where historical data can inform investment decisions, or retail, where it helps with inventory management and demand forecasting, the ability to monitor past data records is crucial. The design simplifies data retrieval and analysis because it allows for easy and quick querying.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Data Pine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. The author, Anil Maheshwari, Ph.D.,

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Astera

OCTOBER 30, 2024

If you’re working in the data space today, you must have felt the wave of artificial intelligence (AI) innovation reshaping how we manage and access information. One of the areas affected is data catalogs, which are no longer simple tools for organizing metadata. What is an AI data catalog?

Data Discovery 52

Data Discovery Supply Chain Data Quality Government 52

Astera

OCTOBER 28, 2024

Believe it or not, striking a conversation with your data warehouse is no longer a distant dream, thanks to the application of natural language search in data management. Natural language search has a very specific use case in data management and analytics, where it’s used to query structured data.

Data Warehouse 52

Data Warehouse Documentation Healthcare Artificial Intelligence 52

Data Pine

DECEMBER 4, 2019

With technologies such as natural language processing, machine learning, pattern recognition cognitive computing is considered as a next-generation system that will help experts to make better decisions throughout industries such as healthcare, retail, security, and e-commerce, among others. With the expected generated revenue of $13.8

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Data Pine

MAY 17, 2021

Collaboration is a fundamental point for successful data management. datapine allows you to provide different types of access to stakeholders based on their role and the data they need to use. We’re now seeing the concept evolve into what’s called smart data discovery , or Augmented Intelligence.

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

Insight Software

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Organizations can use data pipelines to support real-time data analysis for operational intelligence.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52