Astera

JUNE 14, 2023

This results in efficient data storage and retrieval Optimized for write operations: OLTP systems optimize write operations, allowing them to handle a large number of data inserts, updates, and deletes efficiently.This is critical for applications that require real-time data updates. What is OLAP?

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

DECEMBER 16, 2022

IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data. Challenge#4: Analyzing unstructured data. Challenge#6: Ensuring data security.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data. Challenge#4: Analyzing unstructured data. Challenge#6: Ensuring data security.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data. Challenge#4: Analyzing unstructured data. Challenge#6: Ensuring data security.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52