Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. Furthermore, it has been estimated that by 2025, the cumulative data generated will triple to reach nearly 175 zettabytes. Big data and data warehousing.

Data Warehouse 336

Data Warehouse Big Data Business Intelligence Business Intelligence 336

Insight Software

JULY 6, 2022

Data discovery, also known as data analysis for business users, is one of the top business intelligence trends for 2022. Let’s take a look at how industries like yours are making use of data analytics tools to find patterns and derive insights from data. You just might be surprised at the innovation spanning each sector.

Data Discovery 52

Data Discovery Finance Healthcare IBM Expert 52

Astera

NOVEMBER 30, 2023

Building upon the strengths of its predecessor, Data Vault 2.0 elevates data warehouse automation by introducing enhanced scalability, agility, and adaptability. It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

MARCH 11, 2024

Businesses can easily scale their data storage and processing capabilities with this innovative approach. Instead, the term Snowflake ETL tools refers to using specialized tools, software solutions, and processes in conjunction with the Snowflake data platform for data extraction, transformation, and loading.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

SEPTEMBER 28, 2023

The data readiness achieved empowers data professionals and business users to perform advanced analytics, generating actionable insights and driving strategic initiatives that fuel business growth and innovation. Reverse ETL is a relatively new concept in the field of data engineering and analytics. What is Reverse ETL?

Data Warehouse 52

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

Astera

APRIL 28, 2023

Additionally, AI-powered data modeling can improve data accuracy and completeness. For instance, Walmart uses AI-powered smart data modeling techniques to optimize its data warehouse for specific use cases, such as supply chain management and customer analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JUNE 13, 2023

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. Initially, pipelines were rooted in CPU processing at the hardware level.

E-Commerce 52

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