Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JUNE 13, 2023

By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Evolution of Data Pipelines: From CPU Automation to Real-Time Flow Data pipelines have evolved over the past four decades, originating from the automation of CPU instructions to the seamless flow of real-time data.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 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 E-Commerce Real-time Data 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. This schema is particularly useful for data warehouses with substantial data volumes.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

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

Data Pine

AUGUST 29, 2022

4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built. The author, Anil Maheshwari, Ph.D.,

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105